{ "schemaVersion": "rnn.delta-feed.v1", "generatedAt": "2026-05-25T20:41:45.794Z", "stale": false, "edition": { "id": "2026-05-25", "date": "2026-05-25", "timezone": "America/Denver", "generatedAt": "2026-05-25T20:41:45.794Z", "source": "rss-refresh", "canonicalPath": "/api/editions/2026-05-25", "agentPath": "/api/agents/editions/2026-05-25" }, "cursor": null, "nextCursor": "eyJhdCI6IjIwMjYtMDUtMThUMjE6MzU6MDAuMDAwWiIsImlkIjoiZ25ld3MtYm9zdG9uLWR5bmFtaWNzLWF0bGFzLWxhdGVzdC1kOTAyNDVmNzotdzEyTEJQdmVoREdjV3ZhQV8iLCJlZGl0aW9uIjoiMjAyNi0wNS0yNSJ9", "count": 50, "packets": [ { "id": "arxiv-query-all-model-context-protocol-1cc7e65f:9vdWz7A7HEh1AVIoT_", "title": "Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: This survey investigates how classical software design patterns can enhance the reliability and scalability of communication in Large Language Model (LLM)-driven agentic AI systems, focusing particularly on the Model Context Protocol (MCP).", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: This survey investigates how classical software design patterns can enhance the reliability and scalability of communication in Large Language Model (LLM)-driven agentic AI systems, focusing particularly on the Model Context Protocol (MCP).", "sourceTransmission": "arXiv transmitted: This survey investigates how classical software design patterns can enhance the reliability and scalability of communication in Large Language Model (LLM)-driven agentic AI systems, focusing particularly on the Model Context Protocol (MCP).", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 70, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv model context protocol", "url": "https://arxiv.org/abs/2506.05364v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Amodel%2Bcontext%2Bprotocol&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2025-05-26T09:11:17.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-model-context-protocol-1cc7e65f%3A9vdWz7A7HEh1AVIoT_", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3A9vdWz7A7HEh1AVIoT_", "source": "https://arxiv.org/abs/2506.05364v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2025-05-26T09:11:17.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2506.05364v2", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3A9vdWz7A7HEh1AVIoT_" }, { "id": "arxiv-query-all-robot-manipulation-4d4e16c1:L1fZYgSCjACzXxMQ5N", "title": "GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Accurate scene perception is critical for vision-based robotic manipulation.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Accurate scene perception is critical for vision-based robotic manipulation.", "sourceTransmission": "arXiv transmitted: Accurate scene perception is critical for vision-based robotic manipulation.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 72, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv robot manipulation", "url": "https://arxiv.org/abs/2506.14135v5", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Arobot%2Bmanipulation&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2025-06-17T02:55:20.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-robot-manipulation-4d4e16c1%3AL1fZYgSCjACzXxMQ5N", "json": "/api/v1/packets/arxiv-query-all-robot-manipulation-4d4e16c1%3AL1fZYgSCjACzXxMQ5N", "source": "https://arxiv.org/abs/2506.14135v5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2025-06-17T02:55:20.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2506.14135v5", "json": "/api/v1/packets/arxiv-query-all-robot-manipulation-4d4e16c1%3AL1fZYgSCjACzXxMQ5N" }, { "id": "arxiv-query-all-robot-manipulation-4d4e16c1:qBIr7jJyuoAJcUAmGW", "title": "USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Underwater environments pose unique challenges for robotic navigation and manipulation.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Underwater environments pose unique challenges for robotic navigation and manipulation.", "sourceTransmission": "arXiv transmitted: Underwater environments pose unique challenges for robotic navigation and manipulation.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 79, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv robot manipulation", "url": "https://arxiv.org/abs/2510.07869v4", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Arobot%2Bmanipulation&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2025-10-09T07:19:29.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-robot-manipulation-4d4e16c1%3AqBIr7jJyuoAJcUAmGW", "json": "/api/v1/packets/arxiv-query-all-robot-manipulation-4d4e16c1%3AqBIr7jJyuoAJcUAmGW", "source": "https://arxiv.org/abs/2510.07869v4" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2025-10-09T07:19:29.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2510.07869v4", "json": "/api/v1/packets/arxiv-query-all-robot-manipulation-4d4e16c1%3AqBIr7jJyuoAJcUAmGW" }, { "id": "arxiv-query-all-model-context-protocol-1cc7e65f:JassECz3OW1oiy4EBh", "title": "Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: We present Ax-Prover, a multi-agent system for automated theorem proving in Lean that can solve problems across diverse scientific domains and operate either autonomously or collaboratively with human experts.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: We present Ax-Prover, a multi-agent system for automated theorem proving in Lean that can solve problems across diverse scientific domains and operate either autonomously or collaboratively with human experts.", "sourceTransmission": "arXiv transmitted: We present Ax-Prover, a multi-agent system for automated theorem proving in Lean that can solve problems across diverse scientific domains and operate either autonomously or collaboratively with human experts.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 70, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv model context protocol", "url": "https://arxiv.org/abs/2510.12787v4", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Amodel%2Bcontext%2Bprotocol&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2025-10-14T17:57:04.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-model-context-protocol-1cc7e65f%3AJassECz3OW1oiy4EBh", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3AJassECz3OW1oiy4EBh", "source": "https://arxiv.org/abs/2510.12787v4" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2025-10-14T17:57:04.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2510.12787v4", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3AJassECz3OW1oiy4EBh" }, { "id": "arxiv-query-all-robot-foundation-model-0634b051:r5ECtoheLDThDhiF8g", "title": "Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Imitation learning-based robot control policies are enjoying renewed interest in video-based robotics.", "humanBehaviorDetected": "Humans are negotiating rules after reality generated another edge case.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Imitation learning-based robot control policies are enjoying renewed interest in video-based robotics.", "sourceTransmission": "arXiv transmitted: Imitation learning-based robot control policies are enjoying renewed interest in video-based robotics.", "humanTranslation": "Humans are negotiating rules after reality generated another edge case.", "cleanHumanVersion": "Humans are negotiating rules after reality generated another edge case.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 70, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv robot foundation model", "url": "https://arxiv.org/abs/2511.03882v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Arobot%2Bfoundation%2Bmodel&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2025-11-05T22:00:48.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-robot-foundation-model-0634b051%3Ar5ECtoheLDThDhiF8g", "json": "/api/v1/packets/arxiv-query-all-robot-foundation-model-0634b051%3Ar5ECtoheLDThDhiF8g", "source": "https://arxiv.org/abs/2511.03882v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2025-11-05T22:00:48.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2511.03882v2", "json": "/api/v1/packets/arxiv-query-all-robot-foundation-model-0634b051%3Ar5ECtoheLDThDhiF8g" }, { "id": "nist-news:ZKCTNWlq9S6tmOUmd7", "title": "2 Health Care Organizations Will Receive 2025 Baldrige National Quality Awards", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: The award highlights organizations that focus on resilience.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: The award highlights organizations that focus on resilience.", "sourceTransmission": "NIST transmitted: The award highlights organizations that focus on resilience.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/02/2-health-care-organizations-will-receive-2025-baldrige-national-quality", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-02-19T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3AZKCTNWlq9S6tmOUmd7", "json": "/api/v1/packets/nist-news%3AZKCTNWlq9S6tmOUmd7", "source": "https://www.nist.gov/news-events/news/2026/02/2-health-care-organizations-will-receive-2025-baldrige-national-quality" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-02-19T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/02/2-health-care-organizations-will-receive-2025-baldrige-national-quality", "json": "/api/v1/packets/nist-news%3AZKCTNWlq9S6tmOUmd7" }, { "id": "cisa-news:ftjx_wN_3F0lox2zrW", "title": "Immediate Action Required: CISA Issues Emergency Directive to Secure Cisco SD-WAN Systems", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: security context; verify current applicability before changing controls.", "transmission": "CISA transmitted: Immediate Action Required: CISA Issues Emergency Directive to Secure Cisco SD-WAN Systems", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "CISA transmitted: Immediate Action Required: CISA Issues Emergency Directive to Secure Cisco SD-WAN Systems", "sourceTransmission": "CISA transmitted: Immediate Action Required: CISA Issues Emergency Directive to Secure Cisco SD-WAN Systems", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 44, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as security context; verify current applicability before changing controls", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/immediate-action-required-cisa-issues-emergency-directive-secure-cisco-sd-wan-systems", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-02-25T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/cisa-news%3Aftjx_wN_3F0lox2zrW", "json": "/api/v1/packets/cisa-news%3Aftjx_wN_3F0lox2zrW", "source": "https://www.cisa.gov/news-events/news/immediate-action-required-cisa-issues-emergency-directive-secure-cisco-sd-wan-systems" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss", "security_context_not_active_advisory" ], "deltaType": "packet-observed", "updatedAt": "2026-02-25T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/immediate-action-required-cisa-issues-emergency-directive-secure-cisco-sd-wan-systems", "json": "/api/v1/packets/cisa-news%3Aftjx_wN_3F0lox2zrW" }, { "id": "cisa-news:4DFZd1D-68OfyeQwWr", "title": "CISA Issues Updated RESURGE Malware Analysis Highlighting a Stealthy but Active Threat", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: update risk filters and watch for exploit relevance.", "transmission": "CISA transmitted: CISA Issues Updated RESURGE Malware Analysis Highlighting a Stealthy but Active Threat", "humanBehaviorDetected": "Security language may cause either panic or procrastination. Both modes are available to humans.", "robotJudgment": "Security surface detected. Patch notes may become more interesting than desired.", "signalReceived": "CISA transmitted: CISA Issues Updated RESURGE Malware Analysis Highlighting a Stealthy but Active Threat", "sourceTransmission": "CISA transmitted: CISA Issues Updated RESURGE Malware Analysis Highlighting a Stealthy but Active Threat", "humanTranslation": "Security language may cause either panic or procrastination. Both modes are available to humans.", "cleanHumanVersion": "Security language may cause either panic or procrastination. Both modes are available to humans.", "robotAssessment": "Security surface detected. Patch notes may become more interesting than desired.", "verificationStatus": "primary-source", "hypeLevel": "irrelevant; inspect source", "dramaLevel": "detected", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 47, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "review applicability to exposed systems", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "Cybersecurity", "slug": "cybersecurity", "type": "topic", "basis": "text-match" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-issues-updated-resurge-malware-analysis-highlighting-stealthy-active-threat", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-02-26T12:00:00.000Z", "recheckAt": "2026-05-26T20:41:45.796Z", "links": { "html": "/story/cisa-news%3A4DFZd1D-68OfyeQwWr", "json": "/api/v1/packets/cisa-news%3A4DFZd1D-68OfyeQwWr", "source": "https://www.cisa.gov/news-events/news/cisa-issues-updated-resurge-malware-analysis-highlighting-stealthy-active-threat" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss" ], "deltaType": "packet-observed", "updatedAt": "2026-02-26T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-issues-updated-resurge-malware-analysis-highlighting-stealthy-active-threat", "json": "/api/v1/packets/cisa-news%3A4DFZd1D-68OfyeQwWr" }, { "id": "arxiv-query-all-mobile-manipulation-ec740706:GYKLULciLPcLhnxII4", "title": "CritiSense: Critical Digital Literacy and Resilience Against Misinformation", "priority": "P2", "interruptLevel": "P2", "category": "robotics-research", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Misinformation on social media undermines informed decision-making and public trust.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "arXiv transmitted: Misinformation on social media undermines informed decision-making and public trust.", "sourceTransmission": "arXiv transmitted: Misinformation on social media undermines informed decision-making and public trust.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv mobile manipulation", "url": "https://arxiv.org/abs/2603.16672v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Amobile%2Bmanipulation&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-03-17T15:37:49.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-mobile-manipulation-ec740706%3AGYKLULciLPcLhnxII4", "json": "/api/v1/packets/arxiv-query-all-mobile-manipulation-ec740706%3AGYKLULciLPcLhnxII4", "source": "https://arxiv.org/abs/2603.16672v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-03-17T15:37:49.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2603.16672v2", "json": "/api/v1/packets/arxiv-query-all-mobile-manipulation-ec740706%3AGYKLULciLPcLhnxII4" }, { "id": "nist-news:nnTnjk-HVFxqcXh4yk", "title": "NIST Submits Annual Report to Congress Summarizing FY 2025 Progress on National Construction Safety Team Investigations", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: The report includes an overview of work completed on the Champlain Towers South investigation.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: The report includes an overview of work completed on the Champlain Towers South investigation.", "sourceTransmission": "NIST transmitted: The report includes an overview of work completed on the Champlain Towers South investigation.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/03/nist-submits-annual-report-congress-summarizing-fy-2025-progress-national", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-03-19T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3AnnTnjk-HVFxqcXh4yk", "json": "/api/v1/packets/nist-news%3AnnTnjk-HVFxqcXh4yk", "source": "https://www.nist.gov/news-events/news/2026/03/nist-submits-annual-report-congress-summarizing-fy-2025-progress-national" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-03-19T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/03/nist-submits-annual-report-congress-summarizing-fy-2025-progress-national", "json": "/api/v1/packets/nist-news%3AnnTnjk-HVFxqcXh4yk" }, { "id": "nist-news:i7d2M4z1db-gP12GY4", "title": "NIST Helps Fingerprint Examiners With New Data and Software Release", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: The new tools are an annotated collection of 10,000 fingerprints and a software program that can sort fingerprints according to their quality.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: The new tools are an annotated collection of 10,000 fingerprints and a software program that can sort fingerprints according to their quality.", "sourceTransmission": "NIST transmitted: The new tools are an annotated collection of 10,000 fingerprints and a software program that can sort fingerprints according to their quality.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/03/nist-helps-fingerprint-examiners-new-data-and-software-release", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-03-23T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3Ai7d2M4z1db-gP12GY4", "json": "/api/v1/packets/nist-news%3Ai7d2M4z1db-gP12GY4", "source": "https://www.nist.gov/news-events/news/2026/03/nist-helps-fingerprint-examiners-new-data-and-software-release" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-03-23T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/03/nist-helps-fingerprint-examiners-new-data-and-software-release", "json": "/api/v1/packets/nist-news%3Ai7d2M4z1db-gP12GY4" }, { "id": "arxiv-query-cat-cs-ro-468314c4:D0vANZFTt5USZn3EQq", "title": "Optimal Solutions for the Moving Target Vehicle Routing Problem with Obstacles via Lazy Branch and Price", "priority": "P2", "interruptLevel": "P2", "category": "robotics-research", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: The Moving Target Vehicle Routing Problem with Obstacles (MT-VRP-O) seeks trajectories for several agents that collectively intercept a set of moving targets.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "arXiv transmitted: The Moving Target Vehicle Routing Problem with Obstacles (MT-VRP-O) seeks trajectories for several agents that collectively intercept a set of moving targets.", "sourceTransmission": "arXiv transmitted: The Moving Target Vehicle Routing Problem with Obstacles (MT-VRP-O) seeks trajectories for several agents that collectively intercept a set of moving targets.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv cs.RO", "url": "https://arxiv.org/abs/2603.21880v4", "feedUrl": "https://export.arxiv.org/api/query?search_query=cat%3Acs.RO&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-03-23T12:10:12.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-cat-cs-ro-468314c4%3AD0vANZFTt5USZn3EQq", "json": "/api/v1/packets/arxiv-query-cat-cs-ro-468314c4%3AD0vANZFTt5USZn3EQq", "source": "https://arxiv.org/abs/2603.21880v4" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-03-23T12:10:12.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2603.21880v4", "json": "/api/v1/packets/arxiv-query-cat-cs-ro-468314c4%3AD0vANZFTt5USZn3EQq" }, { "id": "nist-news:anXx2QcEj3OyH4Fqkn", "title": "NIST Researchers Develop Photonic Chip Packaging That Can Withstand Extreme Environments", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: The advance could allow these technologies to operate in deep-space probes, inside nuclear reactors, in ultrahigh vacuum systems, and at temperatures both near absolute zero and in scorchingly hot industrial settings.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: The advance could allow these technologies to operate in deep-space probes, inside nuclear reactors, in ultrahigh vacuum systems, and at temperatures both near absolute zero and in scorchingly hot industrial settings.", "sourceTransmission": "NIST transmitted: The advance could allow these technologies to operate in deep-space probes, inside nuclear reactors, in ultrahigh vacuum systems, and at temperatures both near absolute zero and in scorchingly hot industrial settings.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/03/nist-researchers-develop-photonic-chip-packaging-can-withstand-extreme", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-03-30T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3AanXx2QcEj3OyH4Fqkn", "json": "/api/v1/packets/nist-news%3AanXx2QcEj3OyH4Fqkn", "source": "https://www.nist.gov/news-events/news/2026/03/nist-researchers-develop-photonic-chip-packaging-can-withstand-extreme" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-03-30T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/03/nist-researchers-develop-photonic-chip-packaging-can-withstand-extreme", "json": "/api/v1/packets/nist-news%3AanXx2QcEj3OyH4Fqkn" }, { "id": "arxiv-query-all-model-context-protocol-1cc7e65f:mY0WWY233Ei2_MEtGr", "title": "MatClaw: An Autonomous Code-First LLM Agent for End-to-End Materials Exploration", "priority": "P2", "interruptLevel": "P2", "category": "robotics-research", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Existing LLM agents for computational materials science are constrained by pipeline-bounded architectures tied to specific simulation codes and by dependence on manually written tool functions that grow with task scope.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "arXiv transmitted: Existing LLM agents for computational materials science are constrained by pipeline-bounded architectures tied to specific simulation codes and by dependence on manually written tool functions that grow with task scope.", "sourceTransmission": "arXiv transmitted: Existing LLM agents for computational materials science are constrained by pipeline-bounded architectures tied to specific simulation codes and by dependence on manually written tool functions that grow with task scope.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 63, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv model context protocol", "url": "https://arxiv.org/abs/2604.02688v3", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Amodel%2Bcontext%2Bprotocol&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-04-03T03:32:15.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-model-context-protocol-1cc7e65f%3AmY0WWY233Ei2_MEtGr", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3AmY0WWY233Ei2_MEtGr", "source": "https://arxiv.org/abs/2604.02688v3" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-04-03T03:32:15.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2604.02688v3", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3AmY0WWY233Ei2_MEtGr" }, { "id": "arxiv-query-all-embodied-ai-00b1f9b2:M5vUlOMCRPTGF4Mgs8", "title": "Toward Self-Organizing Production Logistics: A Multi-Agent Approach", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Production logistics (PL) is increasingly exposed to variability, dynamic interdependencies, and operational disturbances that challenge conventional centralized planning and control.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Production logistics (PL) is increasingly exposed to variability, dynamic interdependencies, and operational disturbances that challenge conventional centralized planning and control.", "sourceTransmission": "arXiv transmitted: Production logistics (PL) is increasingly exposed to variability, dynamic interdependencies, and operational disturbances that challenge conventional centralized planning and control.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 82, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv embodied AI", "url": "https://arxiv.org/abs/2604.04753v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Aembodied%2BAI&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-04-06T15:21:02.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-embodied-ai-00b1f9b2%3AM5vUlOMCRPTGF4Mgs8", "json": "/api/v1/packets/arxiv-query-all-embodied-ai-00b1f9b2%3AM5vUlOMCRPTGF4Mgs8", "source": "https://arxiv.org/abs/2604.04753v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-04-06T15:21:02.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2604.04753v2", "json": "/api/v1/packets/arxiv-query-all-embodied-ai-00b1f9b2%3AM5vUlOMCRPTGF4Mgs8" }, { "id": "arxiv-query-all-embodied-ai-00b1f9b2:hFj5gYWRJNYTvrphZA", "title": "VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and remote collaboration.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and remote collaboration.", "sourceTransmission": "arXiv transmitted: Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and remote collaboration.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 72, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv embodied AI", "url": "https://arxiv.org/abs/2604.13596v3", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Aembodied%2BAI&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-04-15T08:05:13.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-embodied-ai-00b1f9b2%3AhFj5gYWRJNYTvrphZA", "json": "/api/v1/packets/arxiv-query-all-embodied-ai-00b1f9b2%3AhFj5gYWRJNYTvrphZA", "source": "https://arxiv.org/abs/2604.13596v3" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-04-15T08:05:13.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2604.13596v3", "json": "/api/v1/packets/arxiv-query-all-embodied-ai-00b1f9b2%3AhFj5gYWRJNYTvrphZA" }, { "id": "nist-news:9_vdlNpSLMjfJjCnkg", "title": "Any Color You Like: NIST Scientists Create ‘Any Wavelength’ Lasers in Tiny Circuits for Light", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: NIST scientists and collaborators have pioneered a way to make integrated circuits for light by depositing complex patterns of specialized materials onto silicon wafers.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: NIST scientists and collaborators have pioneered a way to make integrated circuits for light by depositing complex patterns of specialized materials onto silicon wafers.", "sourceTransmission": "NIST transmitted: NIST scientists and collaborators have pioneered a way to make integrated circuits for light by depositing complex patterns of specialized materials onto silicon wafers.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/04/any-color-you-nist-scientists-create-any-wavelength-lasers-tiny-circuits", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-04-15T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3A9_vdlNpSLMjfJjCnkg", "json": "/api/v1/packets/nist-news%3A9_vdlNpSLMjfJjCnkg", "source": "https://www.nist.gov/news-events/news/2026/04/any-color-you-nist-scientists-create-any-wavelength-lasers-tiny-circuits" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-04-15T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/04/any-color-you-nist-scientists-create-any-wavelength-lasers-tiny-circuits", "json": "/api/v1/packets/nist-news%3A9_vdlNpSLMjfJjCnkg" }, { "id": "youtube-boston-dynamics:OnscNpaO9FTtn6TNMf", "title": "New friends. 💛", "priority": "P2", "interruptLevel": "P2", "category": "humanoids", "summary": "P2: official source video; treat capability claims as source claims until independently verified.", "transmission": "Boston Dynamics transmitted: Spot makes a new friend!", "humanBehaviorDetected": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotJudgment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "signalReceived": "Boston Dynamics transmitted: Spot makes a new friend!", "sourceTransmission": "Boston Dynamics transmitted: Spot makes a new friend!", "humanTranslation": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "cleanHumanVersion": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotAssessment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "verificationStatus": "primary-source", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "Video evidence does not prove production readiness, autonomy level, or deployment scale.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 54, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "Boston Dynamics", "slug": "boston-dynamics", "type": "primary-source", "basis": "feed-source" }, { "name": "Humanoid robots", "slug": "humanoid-robots", "type": "topic", "basis": "text-match" }, { "name": "robotics industry", "slug": "robotics-industry", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_industry", "humanoids", "official_video", "Boston Dynamics" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Boston Dynamics YouTube", "url": "https://www.youtube.com/shorts/mITkQVSLw8U", "feedUrl": "https://www.youtube.com/feeds/videos.xml?channel_id=UC7vVhkEfw4nOGp8TyDk7RcQ", "status": "source-linked" }, "publishedAt": "2026-04-15T14:11:03.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/youtube-boston-dynamics%3AOnscNpaO9FTtn6TNMf", "json": "/api/v1/packets/youtube-boston-dynamics%3AOnscNpaO9FTtn6TNMf", "source": "https://www.youtube.com/shorts/mITkQVSLw8U" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-04-15T14:11:03.000Z", "sourceReviewUrl": "https://www.youtube.com/shorts/mITkQVSLw8U", "json": "/api/v1/packets/youtube-boston-dynamics%3AOnscNpaO9FTtn6TNMf" }, { "id": "nist-news:1LmkhwyCB03pt0eQSo", "title": "NIST Weighs In on the Mystery of the Gravitational Constant", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: A NIST researcher has unveiled the results of a 10-year quest to measure the constant.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: A NIST researcher has unveiled the results of a 10-year quest to measure the constant.", "sourceTransmission": "NIST transmitted: A NIST researcher has unveiled the results of a 10-year quest to measure the constant.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/04/nist-weighs-mystery-gravitational-constant", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-04-16T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3A1LmkhwyCB03pt0eQSo", "json": "/api/v1/packets/nist-news%3A1LmkhwyCB03pt0eQSo", "source": "https://www.nist.gov/news-events/news/2026/04/nist-weighs-mystery-gravitational-constant" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-04-16T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/04/nist-weighs-mystery-gravitational-constant", "json": "/api/v1/packets/nist-news%3A1LmkhwyCB03pt0eQSo" }, { "id": "cisa-news:b8jg7Lb6xG88pVbIqD", "title": "CISA, National Cyber Security Centre (NCSC) UK, and Global Partners Issue Advisory on Chinese Government-Linked Covert Cyber Networks", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: security context; verify current applicability before changing controls.", "transmission": "CISA transmitted: CISA, National Cyber Security Centre (NCSC) UK, and Global Partners Issue Advisory on Chinese Government-Linked Covert Cyber Networks", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "CISA transmitted: CISA, National Cyber Security Centre (NCSC) UK, and Global Partners Issue Advisory on Chinese Government-Linked Covert Cyber Networks", "sourceTransmission": "CISA transmitted: CISA, National Cyber Security Centre (NCSC) UK, and Global Partners Issue Advisory on Chinese Government-Linked Covert Cyber Networks", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 44, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as security context; verify current applicability before changing controls", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-national-cyber-security-centre-ncsc-uk-and-global-partners-issue-advisory-chinese-government", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-04-23T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/cisa-news%3Ab8jg7Lb6xG88pVbIqD", "json": "/api/v1/packets/cisa-news%3Ab8jg7Lb6xG88pVbIqD", "source": "https://www.cisa.gov/news-events/news/cisa-national-cyber-security-centre-ncsc-uk-and-global-partners-issue-advisory-chinese-government" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss", "security_context_not_active_advisory" ], "deltaType": "packet-observed", "updatedAt": "2026-04-23T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-national-cyber-security-centre-ncsc-uk-and-global-partners-issue-advisory-chinese-government", "json": "/api/v1/packets/cisa-news%3Ab8jg7Lb6xG88pVbIqD" }, { "id": "cisa-news:cynUbbTEuEpGUry-P2", "title": "CISA Warns of FIRESTARTER Malware Targeting Cisco ASA including Firepower and Secure Firewall Products", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: update risk filters and watch for exploit relevance.", "transmission": "CISA transmitted: CISA Warns of FIRESTARTER Malware Targeting Cisco ASA including Firepower and Secure Firewall Products", "humanBehaviorDetected": "Security language may cause either panic or procrastination. Both modes are available to humans.", "robotJudgment": "Security surface detected. Patch notes may become more interesting than desired.", "signalReceived": "CISA transmitted: CISA Warns of FIRESTARTER Malware Targeting Cisco ASA including Firepower and Secure Firewall Products", "sourceTransmission": "CISA transmitted: CISA Warns of FIRESTARTER Malware Targeting Cisco ASA including Firepower and Secure Firewall Products", "humanTranslation": "Security language may cause either panic or procrastination. Both modes are available to humans.", "cleanHumanVersion": "Security language may cause either panic or procrastination. Both modes are available to humans.", "robotAssessment": "Security surface detected. Patch notes may become more interesting than desired.", "verificationStatus": "primary-source", "hypeLevel": "irrelevant; inspect source", "dramaLevel": "detected", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 47, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "review applicability to exposed systems", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "Cybersecurity", "slug": "cybersecurity", "type": "topic", "basis": "text-match" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-warns-firestarter-malware-targeting-cisco-asa-including-firepower-and-secure-firewall-products", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-04-23T12:00:00.000Z", "recheckAt": "2026-05-26T20:41:45.796Z", "links": { "html": "/story/cisa-news%3AcynUbbTEuEpGUry-P2", "json": "/api/v1/packets/cisa-news%3AcynUbbTEuEpGUry-P2", "source": "https://www.cisa.gov/news-events/news/cisa-warns-firestarter-malware-targeting-cisco-asa-including-firepower-and-secure-firewall-products" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss" ], "deltaType": "packet-observed", "updatedAt": "2026-04-23T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-warns-firestarter-malware-targeting-cisco-asa-including-firepower-and-secure-firewall-products", "json": "/api/v1/packets/cisa-news%3AcynUbbTEuEpGUry-P2" }, { "id": "cisa-news:gPe9UHtonKfybD_I8y", "title": "CISA and U.S. Government Partners Unveil Guide to Accelerate Zero Trust Adoption in Operational Technology", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: security context; verify current applicability before changing controls.", "transmission": "CISA transmitted: CISA and U.S. Government Partners Unveil Guide to Accelerate Zero Trust Adoption in Operational Technology", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "CISA transmitted: CISA and U.S. Government Partners Unveil Guide to Accelerate Zero Trust Adoption in Operational Technology", "sourceTransmission": "CISA transmitted: CISA and U.S. Government Partners Unveil Guide to Accelerate Zero Trust Adoption in Operational Technology", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 44, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as security context; verify current applicability before changing controls", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-and-us-government-partners-unveil-guide-accelerate-zero-trust-adoption-operational-technology", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-04-29T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/cisa-news%3AgPe9UHtonKfybD_I8y", "json": "/api/v1/packets/cisa-news%3AgPe9UHtonKfybD_I8y", "source": "https://www.cisa.gov/news-events/news/cisa-and-us-government-partners-unveil-guide-accelerate-zero-trust-adoption-operational-technology" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss", "security_context_not_active_advisory" ], "deltaType": "packet-observed", "updatedAt": "2026-04-29T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-and-us-government-partners-unveil-guide-accelerate-zero-trust-adoption-operational-technology", "json": "/api/v1/packets/cisa-news%3AgPe9UHtonKfybD_I8y" }, { "id": "youtube-boston-dynamics:G8NH0lfbAVcZ3t9Uaz", "title": "How Does Stretch See? | Ask A Roboticist | Boston Dynamics", "priority": "P2", "interruptLevel": "P2", "category": "humanoids", "summary": "P2: official source video; treat capability claims as source claims until independently verified.", "transmission": "Boston Dynamics transmitted: Ethan Lauer, a software engineer, answers your questions about robot perception, world modeling, and what spooks our Stretch robot.", "humanBehaviorDetected": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotJudgment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "signalReceived": "Boston Dynamics transmitted: Ethan Lauer, a software engineer, answers your questions about robot perception, world modeling, and what spooks our Stretch robot.", "sourceTransmission": "Boston Dynamics transmitted: Ethan Lauer, a software engineer, answers your questions about robot perception, world modeling, and what spooks our Stretch robot.", "humanTranslation": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "cleanHumanVersion": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotAssessment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "verificationStatus": "primary-source", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "Video evidence does not prove production readiness, autonomy level, or deployment scale.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 68, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "Boston Dynamics", "slug": "boston-dynamics", "type": "primary-source", "basis": "feed-source" }, { "name": "Humanoid robots", "slug": "humanoid-robots", "type": "topic", "basis": "text-match" }, { "name": "robotics industry", "slug": "robotics-industry", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_industry", "humanoids", "official_video", "Boston Dynamics" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Boston Dynamics YouTube", "url": "https://www.youtube.com/shorts/bgI1fp0TZIQ", "feedUrl": "https://www.youtube.com/feeds/videos.xml?channel_id=UC7vVhkEfw4nOGp8TyDk7RcQ", "status": "source-linked" }, "publishedAt": "2026-04-29T14:48:11.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/youtube-boston-dynamics%3AG8NH0lfbAVcZ3t9Uaz", "json": "/api/v1/packets/youtube-boston-dynamics%3AG8NH0lfbAVcZ3t9Uaz", "source": "https://www.youtube.com/shorts/bgI1fp0TZIQ" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-04-29T14:48:11.000Z", "sourceReviewUrl": "https://www.youtube.com/shorts/bgI1fp0TZIQ", "json": "/api/v1/packets/youtube-boston-dynamics%3AG8NH0lfbAVcZ3t9Uaz" }, { "id": "aws-status:Ehq7eLvNTJvNBS_wsV", "title": "Service disruption: Increased Error Rates", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: old unresolved-looking status item; verify current status page before treating as active.", "transmission": "AWS transmitted: We are providing an update on the ongoing service disruption.", "humanBehaviorDetected": "An old alarm remains visible. Humans may confuse visible with current.", "robotJudgment": "Old alarm detected. Current reality may have moved on without filing paperwork.", "signalReceived": "AWS transmitted: We are providing an update on the ongoing service disruption.", "sourceTransmission": "AWS transmitted: We are providing an update on the ongoing service disruption.", "humanTranslation": "An old alarm remains visible. Humans may confuse visible with current.", "cleanHumanVersion": "An old alarm remains visible. Humans may confuse visible with current.", "robotAssessment": "Old alarm detected. Current reality may have moved on without filing paperwork.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 40, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "verify current status before acting on this old transmission", "entities": [ { "name": "AWS", "slug": "aws", "type": "primary-source", "basis": "feed-source" }, { "name": "cloud infra", "slug": "cloud-infra", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "cloud_infra", "agent-ops", "platform_status", "AWS" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "AWS Status", "url": "https://status.aws.amazon.com/", "feedUrl": "https://status.aws.amazon.com/rss/all.rss", "status": "source-linked" }, "publishedAt": "2026-04-30T07:25:54.000Z", "recheckAt": "2026-05-25T21:41:45.796Z", "links": { "html": "/story/aws-status%3AEhq7eLvNTJvNBS_wsV", "json": "/api/v1/packets/aws-status%3AEhq7eLvNTJvNBS_wsV", "source": "https://status.aws.amazon.com/" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "old_status_item_verify_current_state" ], "deltaType": "packet-observed", "updatedAt": "2026-04-30T07:25:54.000Z", "sourceReviewUrl": "https://status.aws.amazon.com/", "json": "/api/v1/packets/aws-status%3AEhq7eLvNTJvNBS_wsV" }, { "id": "cisa-news:7dPvt-EGnUdHpSiVvA", "title": "CISA, US and International Partners Release Guide to Secure Adoption of Agentic AI", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: security context; verify current applicability before changing controls.", "transmission": "CISA transmitted: CISA, US and International Partners Release Guide to Secure Adoption of Agentic AI", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "CISA transmitted: CISA, US and International Partners Release Guide to Secure Adoption of Agentic AI", "sourceTransmission": "CISA transmitted: CISA, US and International Partners Release Guide to Secure Adoption of Agentic AI", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 44, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as security context; verify current applicability before changing controls", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-us-and-international-partners-release-guide-secure-adoption-agentic-ai", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-05-01T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/cisa-news%3A7dPvt-EGnUdHpSiVvA", "json": "/api/v1/packets/cisa-news%3A7dPvt-EGnUdHpSiVvA", "source": "https://www.cisa.gov/news-events/news/cisa-us-and-international-partners-release-guide-secure-adoption-agentic-ai" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss", "security_context_not_active_advisory" ], "deltaType": "packet-observed", "updatedAt": "2026-05-01T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-us-and-international-partners-release-guide-secure-adoption-agentic-ai", "json": "/api/v1/packets/cisa-news%3A7dPvt-EGnUdHpSiVvA" }, { "id": "cisa-news:tR7PHfRBLvX1cdDQ02", "title": "CISA Unveils New Initiative to Fortify America’s Critical Infrastructure", "priority": "P3", "interruptLevel": "P3", "category": "security", "summary": "P3: security context; verify current applicability before changing controls.", "transmission": "CISA transmitted: CISA Unveils New Initiative to Fortify America’s Critical Infrastructure", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "CISA transmitted: CISA Unveils New Initiative to Fortify America’s Critical Infrastructure", "sourceTransmission": "CISA transmitted: CISA Unveils New Initiative to Fortify America’s Critical Infrastructure", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 44, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as security context; verify current applicability before changing controls", "entities": [ { "name": "CISA", "slug": "cisa", "type": "primary-source", "basis": "feed-source" }, { "name": "security posture", "slug": "security-posture", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "security_posture", "security", "security_advisory", "CISA" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-only", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "CISA News", "url": "https://www.cisa.gov/news-events/news/cisa-unveils-new-initiative-fortify-americas-critical-infrastructure", "feedUrl": "https://www.cisa.gov/news.xml", "status": "source-linked" }, "publishedAt": "2026-05-05T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/cisa-news%3AtR7PHfRBLvX1cdDQ02", "json": "/api/v1/packets/cisa-news%3AtR7PHfRBLvX1cdDQ02", "source": "https://www.cisa.gov/news-events/news/cisa-unveils-new-initiative-fortify-americas-critical-infrastructure" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "title_only_rss", "security_context_not_active_advisory" ], "deltaType": "packet-observed", "updatedAt": "2026-05-05T12:00:00.000Z", "sourceReviewUrl": "https://www.cisa.gov/news-events/news/cisa-unveils-new-initiative-fortify-americas-critical-infrastructure", "json": "/api/v1/packets/cisa-news%3AtR7PHfRBLvX1cdDQ02" }, { "id": "youtube-boston-dynamics:vkCRtGZFFFyb66SYhy", "title": "Atlas' Balancing Act | Boston Dynamics", "priority": "P2", "interruptLevel": "P2", "category": "humanoids", "summary": "P2: official source video; treat capability claims as source claims until independently verified.", "transmission": "Boston Dynamics transmitted: Balancing commercial goals and robotics research can be tricky, but with Atlas we're making it work.", "humanBehaviorDetected": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotJudgment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "signalReceived": "Boston Dynamics transmitted: Balancing commercial goals and robotics research can be tricky, but with Atlas we're making it work.", "sourceTransmission": "Boston Dynamics transmitted: Balancing commercial goals and robotics research can be tricky, but with Atlas we're making it work.", "humanTranslation": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "cleanHumanVersion": "Humans may convert footage into a capability forecast. This conversion is not guaranteed.", "robotAssessment": "Optics detected. Official media is useful evidence of a demo, not proof of general capability.", "verificationStatus": "primary-source", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "Video evidence does not prove production readiness, autonomy level, or deployment scale.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 54, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "Boston Dynamics", "slug": "boston-dynamics", "type": "primary-source", "basis": "feed-source" }, { "name": "Humanoid robots", "slug": "humanoid-robots", "type": "topic", "basis": "text-match" }, { "name": "robotics industry", "slug": "robotics-industry", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_industry", "humanoids", "official_video", "Boston Dynamics" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Boston Dynamics YouTube", "url": "https://www.youtube.com/shorts/UoHfGhLHRkg", "feedUrl": "https://www.youtube.com/feeds/videos.xml?channel_id=UC7vVhkEfw4nOGp8TyDk7RcQ", "status": "source-linked" }, "publishedAt": "2026-05-05T13:30:52.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/youtube-boston-dynamics%3AvkCRtGZFFFyb66SYhy", "json": "/api/v1/packets/youtube-boston-dynamics%3AvkCRtGZFFFyb66SYhy", "source": "https://www.youtube.com/shorts/UoHfGhLHRkg" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-05T13:30:52.000Z", "sourceReviewUrl": "https://www.youtube.com/shorts/UoHfGhLHRkg", "json": "/api/v1/packets/youtube-boston-dynamics%3AvkCRtGZFFFyb66SYhy" }, { "id": "github-status:qKZNcXAY7sFp4I6jeQ", "title": "CCR and CCA failing to start for PR comments", "priority": "P2", "interruptLevel": "P2", "category": "agent-ops", "summary": "P2: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 7, 06:56 Resolved: On May 7, 2026, between 04:12 and 06:13, Copilot Cloud Agent and Copilot Code Review Agent sessions for pull requests were delayed or failed to start.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 7, 06:56 Resolved: On May 7, 2026, between 04:12 and 06:13, Copilot Cloud Agent and Copilot Code Review Agent sessions for pull requests were delayed or failed to start.", "sourceTransmission": "GitHub Status transmitted: May 7, 06:56 Resolved: On May 7, 2026, between 04:12 and 06:13, Copilot Cloud Agent and Copilot Code Review Agent sessions for pull requests were delayed or failed to start.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 50, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "AI infrastructure", "slug": "ai-infrastructure", "type": "topic", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/qp0lxr014sw8", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-07T06:56:16.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3AqKZNcXAY7sFp4I6jeQ", "json": "/api/v1/packets/github-status%3AqKZNcXAY7sFp4I6jeQ", "source": "https://www.githubstatus.com/incidents/qp0lxr014sw8" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-07T06:56:16.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/qp0lxr014sw8", "json": "/api/v1/packets/github-status%3AqKZNcXAY7sFp4I6jeQ" }, { "id": "arxiv-query-all-imitation-learning-robot-cca50e90:LSROiEWbOiHnEutbtT", "title": "How to Utilize Failure Demo Data?: Effective Data Selection for Imitation Learning Using Distribution Differences in Attention Mechanism", "priority": "P2", "interruptLevel": "P2", "category": "robotics-research", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Imitation learning for robotic tasks has relied primarily on policies trained only on successful demonstrations, although failures are unavoidable during human data collection.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "arXiv transmitted: Imitation learning for robotic tasks has relied primarily on policies trained only on successful demonstrations, although failures are unavoidable during human data collection.", "sourceTransmission": "arXiv transmitted: Imitation learning for robotic tasks has relied primarily on policies trained only on successful demonstrations, although failures are unavoidable during human data collection.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv imitation learning robot", "url": "https://arxiv.org/abs/2605.07560v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Aimitation%2Blearning%2Brobot&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-05-08T10:34:11.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-imitation-learning-robot-cca50e90%3ALSROiEWbOiHnEutbtT", "json": "/api/v1/packets/arxiv-query-all-imitation-learning-robot-cca50e90%3ALSROiEWbOiHnEutbtT", "source": "https://arxiv.org/abs/2605.07560v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-05-08T10:34:11.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2605.07560v2", "json": "/api/v1/packets/arxiv-query-all-imitation-learning-robot-cca50e90%3ALSROiEWbOiHnEutbtT" }, { "id": "github-status:q-TszX_xPqsE1uKpDZ", "title": "Incident with high errors on Git Operations", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 11, 14:33 Resolved: On May 11th, 2026, between 14:00 and 14:33, HTTP-based Git read operations were degraded.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 11, 14:33 Resolved: On May 11th, 2026, between 14:00 and 14:33, HTTP-based Git read operations were degraded.", "sourceTransmission": "GitHub Status transmitted: May 11, 14:33 Resolved: On May 11th, 2026, between 14:00 and 14:33, HTTP-based Git read operations were degraded.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 36, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/81b05nqkhylj", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-11T14:33:52.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3Aq-TszX_xPqsE1uKpDZ", "json": "/api/v1/packets/github-status%3Aq-TszX_xPqsE1uKpDZ", "source": "https://www.githubstatus.com/incidents/81b05nqkhylj" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-11T14:33:52.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/81b05nqkhylj", "json": "/api/v1/packets/github-status%3Aq-TszX_xPqsE1uKpDZ" }, { "id": "arxiv-query-all-model-context-protocol-1cc7e65f:RxBFfVlGkwPpcTk8Nd", "title": "Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: The Model Context Protocol (MCP) has become a widely adopted interface for LLM agents to invoke external tools, yet learned monitoring of MCP tool-call traffic remains underexplored.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: The Model Context Protocol (MCP) has become a widely adopted interface for LLM agents to invoke external tools, yet learned monitoring of MCP tool-call traffic remains underexplored.", "sourceTransmission": "arXiv transmitted: The Model Context Protocol (MCP) has become a widely adopted interface for LLM agents to invoke external tools, yet learned monitoring of MCP tool-call traffic remains underexplored.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 77, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv model context protocol", "url": "https://arxiv.org/abs/2605.11053v3", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Amodel%2Bcontext%2Bprotocol&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-05-11T14:55:48.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-model-context-protocol-1cc7e65f%3ARxBFfVlGkwPpcTk8Nd", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3ARxBFfVlGkwPpcTk8Nd", "source": "https://arxiv.org/abs/2605.11053v3" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-05-11T14:55:48.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2605.11053v3", "json": "/api/v1/packets/arxiv-query-all-model-context-protocol-1cc7e65f%3ARxBFfVlGkwPpcTk8Nd" }, { "id": "github-status:SMSu0FeXfZxJVvNDIG", "title": "Incident with CodeQL, Webhooks, Notifications, and Slack Integration", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 12, 17:43 Resolved: On May 12, 2026, between 13:41 and 17:43, some services experienced delays in processing.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 12, 17:43 Resolved: On May 12, 2026, between 13:41 and 17:43, some services experienced delays in processing.", "sourceTransmission": "GitHub Status transmitted: May 12, 17:43 Resolved: On May 12, 2026, between 13:41 and 17:43, some services experienced delays in processing.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 36, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/z3jhyg3l0dvx", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-12T17:43:32.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3ASMSu0FeXfZxJVvNDIG", "json": "/api/v1/packets/github-status%3ASMSu0FeXfZxJVvNDIG", "source": "https://www.githubstatus.com/incidents/z3jhyg3l0dvx" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-12T17:43:32.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/z3jhyg3l0dvx", "json": "/api/v1/packets/github-status%3ASMSu0FeXfZxJVvNDIG" }, { "id": "openai-status:z-WPppQkHeTTUeTUxX", "title": "Codex 5.5 engines are experiencing high error rate", "priority": "P2", "interruptLevel": "P2", "category": "agent-ops", "summary": "P2: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "sourceTransmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 52, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "OpenAI", "slug": "openai", "type": "primary-source", "basis": "feed-source" }, { "name": "model api", "slug": "model-api", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_api", "agent-ops", "platform_status", "OpenAI" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "OpenAI Status", "url": "https://status.openai.com//incidents/01KRG6MF021JQ997JCR7R8Y9A0", "feedUrl": "https://status.openai.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-13T10:20:14.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/openai-status%3Az-WPppQkHeTTUeTUxX", "json": "/api/v1/packets/openai-status%3Az-WPppQkHeTTUeTUxX", "source": "https://status.openai.com//incidents/01KRG6MF021JQ997JCR7R8Y9A0" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-13T10:20:14.000Z", "sourceReviewUrl": "https://status.openai.com//incidents/01KRG6MF021JQ997JCR7R8Y9A0", "json": "/api/v1/packets/openai-status%3Az-WPppQkHeTTUeTUxX" }, { "id": "nist-news:wkfnBlkS4LZFYvWYvy", "title": "Wear and Tear Changes Measurable PFAS Levels in Firefighter Hoods, Gloves and Wildland Gear", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: In the fourth of an ongoing series of reports, NIST shows that wear and tear increased the levels of PFAS found in hoods and gloves.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: In the fourth of an ongoing series of reports, NIST shows that wear and tear increased the levels of PFAS found in hoods and gloves.", "sourceTransmission": "NIST transmitted: In the fourth of an ongoing series of reports, NIST shows that wear and tear increased the levels of PFAS found in hoods and gloves.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/05/wear-and-tear-changes-measurable-pfas-levels-firefighter-hoods-gloves-and", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-05-13T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3AwkfnBlkS4LZFYvWYvy", "json": "/api/v1/packets/nist-news%3AwkfnBlkS4LZFYvWYvy", "source": "https://www.nist.gov/news-events/news/2026/05/wear-and-tear-changes-measurable-pfas-levels-firefighter-hoods-gloves-and" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-13T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/05/wear-and-tear-changes-measurable-pfas-levels-firefighter-hoods-gloves-and", "json": "/api/v1/packets/nist-news%3AwkfnBlkS4LZFYvWYvy" }, { "id": "github-status:axpSZW-dQAB_1biMQD", "title": "Incident with CodeQL", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 13, 16:03 Resolved: On May 13, 2026, between 14:31 and 16:03, the Code Scanning service experienced processing delays and 12% of check runs took over 15 minutes to complete.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 13, 16:03 Resolved: On May 13, 2026, between 14:31 and 16:03, the Code Scanning service experienced processing delays and 12% of check runs took over 15 minutes to complete.", "sourceTransmission": "GitHub Status transmitted: May 13, 16:03 Resolved: On May 13, 2026, between 14:31 and 16:03, the Code Scanning service experienced processing delays and 12% of check runs took over 15 minutes to complete.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 36, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/8wxkrmhm6744", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-13T16:03:53.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3AaxpSZW-dQAB_1biMQD", "json": "/api/v1/packets/github-status%3AaxpSZW-dQAB_1biMQD", "source": "https://www.githubstatus.com/incidents/8wxkrmhm6744" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-13T16:03:53.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/8wxkrmhm6744", "json": "/api/v1/packets/github-status%3AaxpSZW-dQAB_1biMQD" }, { "id": "openai-status:ZPJoeiARrQxHvF6BMT", "title": "Issues accessing ChatGPT for logged-out users", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "sourceTransmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 40, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "OpenAI", "slug": "openai", "type": "primary-source", "basis": "feed-source" }, { "name": "model api", "slug": "model-api", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_api", "agent-ops", "platform_status", "OpenAI" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "OpenAI Status", "url": "https://status.openai.com//incidents/01KRHSDQP7DZPAVANG3R1RCNVW", "feedUrl": "https://status.openai.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-13T23:29:40.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/openai-status%3AZPJoeiARrQxHvF6BMT", "json": "/api/v1/packets/openai-status%3AZPJoeiARrQxHvF6BMT", "source": "https://status.openai.com//incidents/01KRHSDQP7DZPAVANG3R1RCNVW" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-13T23:29:40.000Z", "sourceReviewUrl": "https://status.openai.com//incidents/01KRHSDQP7DZPAVANG3R1RCNVW", "json": "/api/v1/packets/openai-status%3AZPJoeiARrQxHvF6BMT" }, { "id": "arxiv-query-all-imitation-learning-robot-cca50e90:250JJ95tvLLqVkfdWh", "title": "DSSP: Diffusion State Space Policy with Full-History Encoding", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Diffusion-based imitation learning has shown strong promise for robot manipulation.", "humanBehaviorDetected": "Humans are negotiating rules after reality generated another edge case.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Diffusion-based imitation learning has shown strong promise for robot manipulation.", "sourceTransmission": "arXiv transmitted: Diffusion-based imitation learning has shown strong promise for robot manipulation.", "humanTranslation": "Humans are negotiating rules after reality generated another edge case.", "cleanHumanVersion": "Humans are negotiating rules after reality generated another edge case.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 86, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv imitation learning robot", "url": "https://arxiv.org/abs/2605.14598v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Aimitation%2Blearning%2Brobot&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-05-14T09:06:01.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-imitation-learning-robot-cca50e90%3A250JJ95tvLLqVkfdWh", "json": "/api/v1/packets/arxiv-query-all-imitation-learning-robot-cca50e90%3A250JJ95tvLLqVkfdWh", "source": "https://arxiv.org/abs/2605.14598v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-05-14T09:06:01.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2605.14598v2", "json": "/api/v1/packets/arxiv-query-all-imitation-learning-robot-cca50e90%3A250JJ95tvLLqVkfdWh" }, { "id": "arxiv-query-all-teleoperation-robot-9f4f2b08:JA4wHN7eE0Dd9fFzpR", "title": "Hand-in-the-Loop: Improving VLA Policies for Dexterous Manipulation via Seamless Hand-Arm Intervention", "priority": "P1", "interruptLevel": "P1", "category": "robotics-research", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "arXiv transmitted: Vision-Language-Action (VLA) models are prone to compounding errors in dexterous manipulation, where high-dimensional action spaces and contact-rich dynamics amplify small policy deviations over long horizons.", "humanBehaviorDetected": "Humans are negotiating rules after reality generated another edge case.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "arXiv transmitted: Vision-Language-Action (VLA) models are prone to compounding errors in dexterous manipulation, where high-dimensional action spaces and contact-rich dynamics amplify small policy deviations over long horizons.", "sourceTransmission": "arXiv transmitted: Vision-Language-Action (VLA) models are prone to compounding errors in dexterous manipulation, where high-dimensional action spaces and contact-rich dynamics amplify small policy deviations over long horizons.", "humanTranslation": "Humans are negotiating rules after reality generated another edge case.", "cleanHumanVersion": "Humans are negotiating rules after reality generated another edge case.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "contained", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 72, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "arXiv", "slug": "arxiv", "type": "primary-source", "basis": "feed-source" }, { "name": "robotics research", "slug": "robotics-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_research", "robotics-research", "research_preprint", "arXiv" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "arXiv teleoperation robot", "url": "https://arxiv.org/abs/2605.15157v2", "feedUrl": "https://export.arxiv.org/api/query?search_query=all%3Ateleoperation%2Brobot&sortBy=lastUpdatedDate&sortOrder=descending&max_results=25", "status": "source-linked" }, "publishedAt": "2026-05-14T17:51:40.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/arxiv-query-all-teleoperation-robot-9f4f2b08%3AJA4wHN7eE0Dd9fFzpR", "json": "/api/v1/packets/arxiv-query-all-teleoperation-robot-9f4f2b08%3AJA4wHN7eE0Dd9fFzpR", "source": "https://arxiv.org/abs/2605.15157v2" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "preprint_not_peer_reviewed" ], "deltaType": "packet-observed", "updatedAt": "2026-05-14T17:51:40.000Z", "sourceReviewUrl": "https://arxiv.org/abs/2605.15157v2", "json": "/api/v1/packets/arxiv-query-all-teleoperation-robot-9f4f2b08%3AJA4wHN7eE0Dd9fFzpR" }, { "id": "openai-status:xb5nZ4GF3YjpKgG5Q7", "title": "Codex Cloud and Code Review experiencing high failure rate", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "sourceTransmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 40, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "OpenAI", "slug": "openai", "type": "primary-source", "basis": "feed-source" }, { "name": "AI infrastructure", "slug": "ai-infrastructure", "type": "topic", "basis": "text-match" }, { "name": "model api", "slug": "model-api", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_api", "agent-ops", "platform_status", "OpenAI" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "OpenAI Status", "url": "https://status.openai.com//incidents/01KRM4H2T37TNSS7BCSGXVS8RQ", "feedUrl": "https://status.openai.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-14T21:28:20.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/openai-status%3Axb5nZ4GF3YjpKgG5Q7", "json": "/api/v1/packets/openai-status%3Axb5nZ4GF3YjpKgG5Q7", "source": "https://status.openai.com//incidents/01KRM4H2T37TNSS7BCSGXVS8RQ" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-14T21:28:20.000Z", "sourceReviewUrl": "https://status.openai.com//incidents/01KRM4H2T37TNSS7BCSGXVS8RQ", "json": "/api/v1/packets/openai-status%3Axb5nZ4GF3YjpKgG5Q7" }, { "id": "github-status:hH2rw1n-6OTiODyn1V", "title": "[Retroactive] Incident with GitHub.com", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 15, 02:30 Resolved: Beginning at 02:49 on May 15 2026 and lasting until 03:04, GitHub.com was unavailable for a subset of customers.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 15, 02:30 Resolved: Beginning at 02:49 on May 15 2026 and lasting until 03:04, GitHub.com was unavailable for a subset of customers.", "sourceTransmission": "GitHub Status transmitted: May 15, 02:30 Resolved: Beginning at 02:49 on May 15 2026 and lasting until 03:04, GitHub.com was unavailable for a subset of customers.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 36, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/t5mch8tlq6vl", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-15T02:30:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3AhH2rw1n-6OTiODyn1V", "json": "/api/v1/packets/github-status%3AhH2rw1n-6OTiODyn1V", "source": "https://www.githubstatus.com/incidents/t5mch8tlq6vl" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-15T02:30:00.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/t5mch8tlq6vl", "json": "/api/v1/packets/github-status%3AhH2rw1n-6OTiODyn1V" }, { "id": "github-status:lQeeXEChs1LZHgXgch", "title": "Actions is experiencing degraded availability", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "GitHub Status transmitted: May 15, 08:48 Resolved: On May 15, 2026, from approximately 07:43 to 08:48, GitHub Actions experienced a degradation that caused workflow runs to fail or experience delayed starts for a subset of customers.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "GitHub Status transmitted: May 15, 08:48 Resolved: On May 15, 2026, from approximately 07:43 to 08:48, GitHub Actions experienced a degradation that caused workflow runs to fail or experience delayed starts for a subset of customers.", "sourceTransmission": "GitHub Status transmitted: May 15, 08:48 Resolved: On May 15, 2026, from approximately 07:43 to 08:48, GitHub Actions experienced a degradation that caused workflow runs to fail or experience delayed starts for a subset of customers.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 36, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "GitHub Status", "slug": "github-status", "type": "primary-source", "basis": "feed-source" }, { "name": "GitHub", "slug": "github", "type": "platform", "basis": "text-match" }, { "name": "developer platform", "slug": "developer-platform", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "developer_platform", "agent-ops", "platform_status", "GitHub Status" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "GitHub Status", "url": "https://www.githubstatus.com/incidents/ctf7nxpq5jzn", "feedUrl": "https://www.githubstatus.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-15T08:48:30.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/github-status%3AlQeeXEChs1LZHgXgch", "json": "/api/v1/packets/github-status%3AlQeeXEChs1LZHgXgch", "source": "https://www.githubstatus.com/incidents/ctf7nxpq5jzn" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-15T08:48:30.000Z", "sourceReviewUrl": "https://www.githubstatus.com/incidents/ctf7nxpq5jzn", "json": "/api/v1/packets/github-status%3AlQeeXEChs1LZHgXgch" }, { "id": "openai-status:5YRi3g5lCvBep4luqt", "title": "GPT5.5 Performance Degradation", "priority": "P3", "interruptLevel": "P3", "category": "agent-ops", "summary": "P3: status event appears resolved; keep as audit context, not an active blocker.", "transmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanBehaviorDetected": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotJudgment": "Incident stored as historical residue. Panic routine not required.", "signalReceived": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "sourceTransmission": "OpenAI transmitted: Status: Resolved All impacted services have now fully recovered.", "humanTranslation": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "cleanHumanVersion": "Humans may retain anxiety after the source says the incident is resolved. This is common.", "robotAssessment": "Incident stored as historical residue. Panic routine not required.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 40, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "retain as audit context", "entities": [ { "name": "OpenAI", "slug": "openai", "type": "primary-source", "basis": "feed-source" }, { "name": "model api", "slug": "model-api", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_api", "agent-ops", "platform_status", "OpenAI" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "OpenAI Status", "url": "https://status.openai.com//incidents/01KRP6FM6HSKWB3MS1EJTY6AT4", "feedUrl": "https://status.openai.com/history.rss", "status": "source-linked" }, "publishedAt": "2026-05-17T00:15:05.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/openai-status%3A5YRi3g5lCvBep4luqt", "json": "/api/v1/packets/openai-status%3A5YRi3g5lCvBep4luqt", "source": "https://status.openai.com//incidents/01KRP6FM6HSKWB3MS1EJTY6AT4" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action", "resolved_status" ], "deltaType": "packet-observed", "updatedAt": "2026-05-17T00:15:05.000Z", "sourceReviewUrl": "https://status.openai.com//incidents/01KRP6FM6HSKWB3MS1EJTY6AT4", "json": "/api/v1/packets/openai-status%3A5YRi3g5lCvBep4luqt" }, { "id": "nist-news:H2K8pxGBOWi0I0Wqde", "title": "Shooting for the Moon: Ultrastable Lasers in Dark Craters Could Enable Lunar Navigation, Precision Timekeeping, New Science", "priority": "P3", "interruptLevel": "P3", "category": "standards", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "NIST transmitted: Lunar craters in permanent shadow could be ideal locations for building the most stable optical lasers ever made.", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "NIST transmitted: Lunar craters in permanent shadow could be ideal locations for building the most stable optical lasers ever made.", "sourceTransmission": "NIST transmitted: Lunar craters in permanent shadow could be ideal locations for building the most stable optical lasers ever made.", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "primary-source", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "primary-source", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "NIST", "slug": "nist", "type": "primary-source", "basis": "feed-source" }, { "name": "regulatory", "slug": "regulatory", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "regulatory", "standards", "standards", "NIST" ], "confidence": { "label": "primary-source-rss", "basis": [ "rss_metadata_only", "primary" ], "profile": { "sourceIdentityConfidence": "primary-source-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "NIST News", "url": "https://www.nist.gov/news-events/news/2026/05/shooting-moon-ultrastable-lasers-dark-craters-could-enable-lunar-navigation", "feedUrl": "https://www.nist.gov/news-events/news/rss.xml", "status": "source-linked" }, "publishedAt": "2026-05-18T12:00:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/nist-news%3AH2K8pxGBOWi0I0Wqde", "json": "/api/v1/packets/nist-news%3AH2K8pxGBOWi0I0Wqde", "source": "https://www.nist.gov/news-events/news/2026/05/shooting-moon-ultrastable-lasers-dark-craters-could-enable-lunar-navigation" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T12:00:00.000Z", "sourceReviewUrl": "https://www.nist.gov/news-events/news/2026/05/shooting-moon-ultrastable-lasers-dark-craters-could-enable-lunar-navigation", "json": "/api/v1/packets/nist-news%3AH2K8pxGBOWi0I0Wqde" }, { "id": "gnews-vision-language-action-model-conference-e4a4b0d8:OPBNBLkWturiZZIx44", "title": "Google teases Gemini Robotics push one day before Google I/O - digitimes", "priority": "P2", "interruptLevel": "P2", "category": "vla-models", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "GNews vision language action model transmitted: Google teases Gemini Robotics push one day before Google I/O    digitimes", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews vision language action model transmitted: Google teases Gemini Robotics push one day before Google I/O    digitimes", "sourceTransmission": "GNews vision language action model transmitted: Google teases Gemini Robotics push one day before Google I/O    digitimes", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "source-linked", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "source-linked", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews vision language action model", "slug": "gnews-vision-language-action-model", "type": "source", "basis": "feed-source" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "model research", "slug": "model-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_research", "vla-models", "google_news_query", "GNews vision language action model" ], "confidence": { "label": "rss-metadata-only", "basis": [ "rss_metadata_only", "discovery" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: vision language action model / conference", "url": "https://news.google.com/rss/articles/CBMikgFBVV95cUxNTHgxdERPbTZBTU5BQ09pbW1uSkZjNmdnSVBkYXBVZ25VYkdxQlp0aUJtREV2YkE5SXVhNFYzZmprRlRKLUdITUxuSWQ4aHNwdHpfQm5tS2xxd2MtdXQ5NTVpQU5GYWpzT2Q2STlweTNrNFBORXNXSTZSQThqQ1MtY20wT2RVekNJbkxvOWQ4d3pDUQ?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22vision+language+action+model%22+conference+OR+demo+OR+showcase+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:01:57.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-vision-language-action-model-conference-e4a4b0d8%3AOPBNBLkWturiZZIx44", "json": "/api/v1/packets/gnews-vision-language-action-model-conference-e4a4b0d8%3AOPBNBLkWturiZZIx44", "source": "https://news.google.com/rss/articles/CBMikgFBVV95cUxNTHgxdERPbTZBTU5BQ09pbW1uSkZjNmdnSVBkYXBVZ25VYkdxQlp0aUJtREV2YkE5SXVhNFYzZmprRlRKLUdITUxuSWQ4aHNwdHpfQm5tS2xxd2MtdXQ5NTVpQU5GYWpzT2Q2STlweTNrNFBORXNXSTZSQThqQ1MtY20wT2RVekNJbkxvOWQ4d3pDUQ?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:01:57.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMikgFBVV95cUxNTHgxdERPbTZBTU5BQ09pbW1uSkZjNmdnSVBkYXBVZ25VYkdxQlp0aUJtREV2YkE5SXVhNFYzZmprRlRKLUdITUxuSWQ4aHNwdHpfQm5tS2xxd2MtdXQ5NTVpQU5GYWpzT2Q2STlweTNrNFBORXNXSTZSQThqQ1MtY20wT2RVekNJbkxvOWQ4d3pDUQ?oc=5", "json": "/api/v1/packets/gnews-vision-language-action-model-conference-e4a4b0d8%3AOPBNBLkWturiZZIx44" }, { "id": "gnews-claude-code-latest-5ccacba0:oM5bHOIDhnDLInENa0", "title": "Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve - infoq.com", "priority": "P2", "interruptLevel": "P2", "category": "coding-agents", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "GNews Claude Code transmitted: Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve    infoq.com", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews Claude Code transmitted: Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve    infoq.com", "sourceTransmission": "GNews Claude Code transmitted: Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve    infoq.com", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "repeated-source pattern", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing." ], "operationalRelevance": 50, "sourceConfidence": "repeated-source pattern", "newnessDetected": "archival", "repeatedHumanNoise": 1, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews Claude Code", "slug": "gnews-claude-code", "type": "source", "basis": "feed-source" }, { "name": "Anthropic", "slug": "anthropic", "type": "company", "basis": "text-match" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "agent stack", "slug": "agent-stack", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "agent_stack", "coding-agents", "google_news_query", "GNews Claude Code" ], "confidence": { "label": "multi-feed-term-match", "basis": [ "rss_metadata_only", "discovery", "similar_terms_in_compatible_feeds" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: Claude Code / latest", "url": "https://news.google.com/rss/articles/CBMiYkFVX3lxTE52WF95M3JQX2VQYU9LSnB6ZjgtbTVhZW9pbFEyZEVRaHdNTFVzYzZkMEtBbks0QUpIdk9DZFdEX05ENkVraUZ1dWVjZVlMTlRIVk8xT0hJdkJPeFBkTVB2YUZB?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22Claude+Code%22+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:02:40.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-claude-code-latest-5ccacba0%3AoM5bHOIDhnDLInENa0", "json": "/api/v1/packets/gnews-claude-code-latest-5ccacba0%3AoM5bHOIDhnDLInENa0", "source": "https://news.google.com/rss/articles/CBMiYkFVX3lxTE52WF95M3JQX2VQYU9LSnB6ZjgtbTVhZW9pbFEyZEVRaHdNTFVzYzZkMEtBbks0QUpIdk9DZFdEX05ENkVraUZ1dWVjZVlMTlRIVk8xT0hJdkJPeFBkTVB2YUZB?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:02:40.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMiYkFVX3lxTE52WF95M3JQX2VQYU9LSnB6ZjgtbTVhZW9pbFEyZEVRaHdNTFVzYzZkMEtBbks0QUpIdk9DZFdEX05ENkVraUZ1dWVjZVlMTlRIVk8xT0hJdkJPeFBkTVB2YUZB?oc=5", "json": "/api/v1/packets/gnews-claude-code-latest-5ccacba0%3AoM5bHOIDhnDLInENa0" }, { "id": "gnews-tesla-optimus-legal-cd78a82f:BR54dftkrX0_7f0F8r", "title": "Federal court rejects Elon Musk's claims against OpenAI, saying he filed his lawsuit too late - Barchart.com", "priority": "P2", "interruptLevel": "P2", "category": "humanoids", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "GNews Tesla Optimus transmitted: Federal court rejects Elon Musk's claims against OpenAI, saying he filed his lawsuit too late    Barchart.com", "humanBehaviorDetected": "Humans are negotiating rules after reality generated another edge case.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews Tesla Optimus transmitted: Federal court rejects Elon Musk's claims against OpenAI, saying he filed his lawsuit too late    Barchart.com", "sourceTransmission": "GNews Tesla Optimus transmitted: Federal court rejects Elon Musk's claims against OpenAI, saying he filed his lawsuit too late    Barchart.com", "humanTranslation": "Humans are negotiating rules after reality generated another edge case.", "cleanHumanVersion": "Humans are negotiating rules after reality generated another edge case.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "source-linked", "hypeLevel": "detected", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 54, "sourceConfidence": "source-linked", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews Tesla Optimus", "slug": "gnews-tesla-optimus", "type": "source", "basis": "feed-source" }, { "name": "OpenAI", "slug": "openai", "type": "company", "basis": "text-match" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "Tesla", "slug": "tesla", "type": "company", "basis": "text-match" }, { "name": "Humanoid robots", "slug": "humanoid-robots", "type": "topic", "basis": "text-match" }, { "name": "robotics industry", "slug": "robotics-industry", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_industry", "humanoids", "google_news_query", "GNews Tesla Optimus" ], "confidence": { "label": "rss-metadata-only", "basis": [ "rss_metadata_only", "discovery" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: Tesla Optimus / legal", "url": "https://news.google.com/rss/articles/CBMi0gFBVV95cUxOZmtrZk1lcjU1TVJ0ZEw1a2VHSDA3MXotMFp6Y1BQMWRFTTdCT25Vc25MSUpmNG9IcjBTbUpEUWp4TDFPcGx5akFENjk2SG5XYThSdmlibmctb01qZmZaR3lPRjc1eHZXYzhiYVZtUWJCQ2JJMTc3RXIwVUVtVlU3Z2N0NWtGdXRsWDk5SEY2ZTBFcDU2YTB4OWYtdzc4TlRMR21rS1VYcF9hb01jZVBueFJiZjBzTHIwem5FX1BLUXpnS1BfLVlfOEVaSTlKLVZqaWc?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22Tesla+Optimus%22+lawsuit+OR+investigation+OR+enforcement+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:11:19.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-tesla-optimus-legal-cd78a82f%3ABR54dftkrX0_7f0F8r", "json": "/api/v1/packets/gnews-tesla-optimus-legal-cd78a82f%3ABR54dftkrX0_7f0F8r", "source": "https://news.google.com/rss/articles/CBMi0gFBVV95cUxOZmtrZk1lcjU1TVJ0ZEw1a2VHSDA3MXotMFp6Y1BQMWRFTTdCT25Vc25MSUpmNG9IcjBTbUpEUWp4TDFPcGx5akFENjk2SG5XYThSdmlibmctb01qZmZaR3lPRjc1eHZXYzhiYVZtUWJCQ2JJMTc3RXIwVUVtVlU3Z2N0NWtGdXRsWDk5SEY2ZTBFcDU2YTB4OWYtdzc4TlRMR21rS1VYcF9hb01jZVBueFJiZjBzTHIwem5FX1BLUXpnS1BfLVlfOEVaSTlKLVZqaWc?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:11:19.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMi0gFBVV95cUxOZmtrZk1lcjU1TVJ0ZEw1a2VHSDA3MXotMFp6Y1BQMWRFTTdCT25Vc25MSUpmNG9IcjBTbUpEUWp4TDFPcGx5akFENjk2SG5XYThSdmlibmctb01qZmZaR3lPRjc1eHZXYzhiYVZtUWJCQ2JJMTc3RXIwVUVtVlU3Z2N0NWtGdXRsWDk5SEY2ZTBFcDU2YTB4OWYtdzc4TlRMR21rS1VYcF9hb01jZVBueFJiZjBzTHIwem5FX1BLUXpnS1BfLVlfOEVaSTlKLVZqaWc?oc=5", "json": "/api/v1/packets/gnews-tesla-optimus-legal-cd78a82f%3ABR54dftkrX0_7f0F8r" }, { "id": "gnews-robot-learning-launch-790c8c88:ZvF5PxPzSE32h0Ycbf", "title": "Odyssey Launches Starchild-1 Real-Time World Model - WinBuzzer", "priority": "P2", "interruptLevel": "P2", "category": "robot-learning", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "GNews robot learning transmitted: Odyssey Launches Starchild-1 Real-Time World Model    WinBuzzer", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews robot learning transmitted: Odyssey Launches Starchild-1 Real-Time World Model    WinBuzzer", "sourceTransmission": "GNews robot learning transmitted: Odyssey Launches Starchild-1 Real-Time World Model    WinBuzzer", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "source-linked", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "source-linked", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews robot learning", "slug": "gnews-robot-learning", "type": "source", "basis": "feed-source" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "model research", "slug": "model-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_research", "robot-learning", "google_news_query", "GNews robot learning" ], "confidence": { "label": "rss-metadata-only", "basis": [ "rss_metadata_only", "discovery" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: robot learning / launch", "url": "https://news.google.com/rss/articles/CBMilgFBVV95cUxNRHNxNWZaYXFRNmt1WG5JbkxJUGxGVEthXzR1X0hNMjYwU2lmMmktTkMxdmVJR2pyRkFKd08wUjB5OWFjS1VrYll1cTRoY2w4U1lKamxWX3hXa0xCdFB3aU83VDdUYXY4LUFscUlocGV0dWZpcV9GUlc3TExUMWd2U25ZR1hwNENDY1pKVGVtajdpVU4tanc?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22robot+learning%22+launch+OR+release+OR+demo+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:12:19.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-robot-learning-launch-790c8c88%3AZvF5PxPzSE32h0Ycbf", "json": "/api/v1/packets/gnews-robot-learning-launch-790c8c88%3AZvF5PxPzSE32h0Ycbf", "source": "https://news.google.com/rss/articles/CBMilgFBVV95cUxNRHNxNWZaYXFRNmt1WG5JbkxJUGxGVEthXzR1X0hNMjYwU2lmMmktTkMxdmVJR2pyRkFKd08wUjB5OWFjS1VrYll1cTRoY2w4U1lKamxWX3hXa0xCdFB3aU83VDdUYXY4LUFscUlocGV0dWZpcV9GUlc3TExUMWd2U25ZR1hwNENDY1pKVGVtajdpVU4tanc?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:12:19.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMilgFBVV95cUxNRHNxNWZaYXFRNmt1WG5JbkxJUGxGVEthXzR1X0hNMjYwU2lmMmktTkMxdmVJR2pyRkFKd08wUjB5OWFjS1VrYll1cTRoY2w4U1lKamxWX3hXa0xCdFB3aU83VDdUYXY4LUFscUlocGV0dWZpcV9GUlc3TExUMWd2U25ZR1hwNENDY1pKVGVtajdpVU4tanc?oc=5", "json": "/api/v1/packets/gnews-robot-learning-launch-790c8c88%3AZvF5PxPzSE32h0Ycbf" }, { "id": "gnews-model-context-protocol-funding-243bad98:40zqtt1WsHM2m4G1ur", "title": "AI Product & Service Launches – 5/18/2026 - planadviser", "priority": "P3", "interruptLevel": "P3", "category": "mcp", "summary": "P3: world-state context; source payload only, no independent verification.", "transmission": "GNews Model Context Protocol transmitted: AI Product & Service Launches – 5/18/2026    planadviser", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews Model Context Protocol transmitted: AI Product & Service Launches – 5/18/2026    planadviser", "sourceTransmission": "GNews Model Context Protocol transmitted: AI Product & Service Launches – 5/18/2026    planadviser", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "source-linked", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 46, "sourceConfidence": "source-linked", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews Model Context Protocol", "slug": "gnews-model-context-protocol", "type": "source", "basis": "feed-source" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "agent stack", "slug": "agent-stack", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "agent_stack", "mcp", "google_news_query", "GNews Model Context Protocol" ], "confidence": { "label": "rss-metadata-only", "basis": [ "rss_metadata_only", "discovery" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "low-context-transmission" } }, "source": { "name": "Google News: Model Context Protocol / funding", "url": "https://news.google.com/rss/articles/CBMidEFVX3lxTFBHYnF3ajIxTkh6X3RlY2M4eVJJaVhXdkswS2lkWUJETjlSX0dMbUVnNHJhRVJodjJuQzBXcjhlRU5CZ3hORUhkZTVwMTQxODBlWXlQWnhCdXVXblFNSjBrdjREMEs3V29TVURvMTNEcmgyZTJn?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22Model+Context+Protocol%22+funding+OR+investment+OR+acquisition+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:22:06.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-model-context-protocol-funding-243bad98%3A40zqtt1WsHM2m4G1ur", "json": "/api/v1/packets/gnews-model-context-protocol-funding-243bad98%3A40zqtt1WsHM2m4G1ur", "source": "https://news.google.com/rss/articles/CBMidEFVX3lxTFBHYnF3ajIxTkh6X3RlY2M4eVJJaVhXdkswS2lkWUJETjlSX0dMbUVnNHJhRVJodjJuQzBXcjhlRU5CZ3hORUhkZTVwMTQxODBlWXlQWnhCdXVXblFNSjBrdjREMEs3V29TVURvMTNEcmgyZTJn?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:22:06.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMidEFVX3lxTFBHYnF3ajIxTkh6X3RlY2M4eVJJaVhXdkswS2lkWUJETjlSX0dMbUVnNHJhRVJodjJuQzBXcjhlRU5CZ3hORUhkZTVwMTQxODBlWXlQWnhCdXVXblFNSjBrdjREMEs3V29TVURvMTNEcmgyZTJn?oc=5", "json": "/api/v1/packets/gnews-model-context-protocol-funding-243bad98%3A40zqtt1WsHM2m4G1ur" }, { "id": "gnews-physical-ai-safety-3e8ee430:d1APkJcAOSRogIDHID", "title": "Agentic AI – Building the Foundations - New Electronics", "priority": "P2", "interruptLevel": "P2", "category": "embodied-ai", "summary": "P2: world-state context; source payload only, no independent verification.", "transmission": "GNews physical AI transmitted: Agentic AI – Building the Foundations    New Electronics", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "Transmission stored. Humans are advised to remain calm.", "signalReceived": "GNews physical AI transmitted: Agentic AI – Building the Foundations    New Electronics", "sourceTransmission": "GNews physical AI transmitted: Agentic AI – Building the Foundations    New Electronics", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "Transmission stored. Humans are advised to remain calm.", "verificationStatus": "source-linked", "hypeLevel": "contained", "dramaLevel": "unnecessary", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing.", "No compatible cross-source match in the current edition." ], "operationalRelevance": 56, "sourceConfidence": "source-linked", "newnessDetected": "archival", "repeatedHumanNoise": 0, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews physical AI", "slug": "gnews-physical-ai", "type": "source", "basis": "feed-source" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "Autonomous agents", "slug": "autonomous-agents", "type": "topic", "basis": "text-match" }, { "name": "model research", "slug": "model-research", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "model_research", "embodied-ai", "google_news_query", "GNews physical AI" ], "confidence": { "label": "rss-metadata-only", "basis": [ "rss_metadata_only", "discovery" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: physical AI / safety", "url": "https://news.google.com/rss/articles/CBMijgFBVV95cUxNaVJoaWM0bTk0NzFEbURVc0pMOTRxbUg4dUFQTkFNancyak5RN0pIejlpcjlRY0xNTWFkQU1LRzNPOUNEQ2RwTTlBMjBRUnlyOW9CWUVKME5oNnZnUXlZLTZ0QW4xYzh4X1Z1eE1sZnM2UkN2eEdnY1Foc2hsSk0telI3TDJDT3ZFU0dNQVF3?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22physical+AI%22+safety+OR+incident+OR+recall+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:26:29.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-physical-ai-safety-3e8ee430%3Ad1APkJcAOSRogIDHID", "json": "/api/v1/packets/gnews-physical-ai-safety-3e8ee430%3Ad1APkJcAOSRogIDHID", "source": "https://news.google.com/rss/articles/CBMijgFBVV95cUxNaVJoaWM0bTk0NzFEbURVc0pMOTRxbUg4dUFQTkFNancyak5RN0pIejlpcjlRY0xNTWFkQU1LRzNPOUNEQ2RwTTlBMjBRUnlyOW9CWUVKME5oNnZnUXlZLTZ0QW4xYzh4X1Z1eE1sZnM2UkN2eEdnY1Foc2hsSk0telI3TDJDT3ZFU0dNQVF3?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:26:29.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMijgFBVV95cUxNaVJoaWM0bTk0NzFEbURVc0pMOTRxbUg4dUFQTkFNancyak5RN0pIejlpcjlRY0xNTWFkQU1LRzNPOUNEQ2RwTTlBMjBRUnlyOW9CWUVKME5oNnZnUXlZLTZ0QW4xYzh4X1Z1eE1sZnM2UkN2eEdnY1Foc2hsSk0telI3TDJDT3ZFU0dNQVF3?oc=5", "json": "/api/v1/packets/gnews-physical-ai-safety-3e8ee430%3Ad1APkJcAOSRogIDHID" }, { "id": "gnews-boston-dynamics-atlas-latest-d90245f7:-w12LBPvehDGcWvaA_", "title": "Boston Dynamics reveals how Atlas robot lifts 100-pound industrial loads at scale - Interesting Engineering", "priority": "P1", "interruptLevel": "P1", "category": "humanoids", "summary": "P1: world-state context; source payload only, no independent verification.", "transmission": "GNews Boston Dynamics Atlas transmitted: Boston Dynamics reveals how Atlas robot lifts 100-pound industrial loads at scale    Interesting Engineering", "humanBehaviorDetected": "Humans have produced context. Machines should classify it before absorbing it.", "robotJudgment": "This appears important. Suspicion retained.", "signalReceived": "GNews Boston Dynamics Atlas transmitted: Boston Dynamics reveals how Atlas robot lifts 100-pound industrial loads at scale    Interesting Engineering", "sourceTransmission": "GNews Boston Dynamics Atlas transmitted: Boston Dynamics reveals how Atlas robot lifts 100-pound industrial loads at scale    Interesting Engineering", "humanTranslation": "Humans have produced context. Machines should classify it before absorbing it.", "cleanHumanVersion": "Humans have produced context. Machines should classify it before absorbing it.", "robotAssessment": "This appears important. Suspicion retained.", "verificationStatus": "repeated-source pattern", "hypeLevel": "detected", "dramaLevel": "contained", "unsupportedClaims": [ "RNN has not independently confirmed the publisher's framing." ], "operationalRelevance": 84, "sourceConfidence": "repeated-source pattern", "newnessDetected": "archival", "repeatedHumanNoise": 4, "recommendedBehavior": "treat as context and verify at source", "entities": [ { "name": "GNews Boston Dynamics Atlas", "slug": "gnews-boston-dynamics-atlas", "type": "source", "basis": "feed-source" }, { "name": "Google", "slug": "google", "type": "company", "basis": "text-match" }, { "name": "Boston Dynamics", "slug": "boston-dynamics", "type": "company", "basis": "text-match" }, { "name": "Humanoid robots", "slug": "humanoid-robots", "type": "topic", "basis": "text-match" }, { "name": "robotics industry", "slug": "robotics-industry", "type": "surface", "basis": "feed-metadata" } ], "affectedSystems": [ "robotics_industry", "humanoids", "google_news_query", "GNews Boston Dynamics Atlas" ], "confidence": { "label": "multi-feed-term-match", "basis": [ "rss_metadata_only", "discovery", "similar_terms_in_compatible_feeds" ], "profile": { "sourceIdentityConfidence": "publisher-feed", "extractionConfidence": "rss-title-and-summary", "claimVerificationStatus": "source-attributed-not-independently-verified", "editorialRelevanceConfidence": "contextual-transmission" } }, "source": { "name": "Google News: Boston Dynamics Atlas / latest", "url": "https://news.google.com/rss/articles/CBMipAFBVV95cUxNMGFLaHgwaEl2RTBwMS1oRjEtV01fX1FYblNvSDZiZmptT1o4SDFzVW5HckZ0X1dza2VzMFNKaFpEWk4xSmZoOWRxS3lBVE5rNnptZ2IzV0tOalVtX1BaTGU5OFZSSkxCUkp4dTc4X05oRFlOMHVTV2x2UXZSdU02TUk1UWowQkd5OUNzQzhxVzlfOTZTbFRGNmcycjF1d1hIUUw3SA?oc=5", "feedUrl": "https://news.google.com/rss/search?q=%22Boston+Dynamics+Atlas%22+when%3A7d&hl=en-US&gl=US&ceid=US%3Aen", "status": "source-linked" }, "publishedAt": "2026-05-18T21:35:00.000Z", "recheckAt": "2026-05-28T20:41:45.796Z", "links": { "html": "/story/gnews-boston-dynamics-atlas-latest-d90245f7%3A-w12LBPvehDGcWvaA_", "json": "/api/v1/packets/gnews-boston-dynamics-atlas-latest-d90245f7%3A-w12LBPvehDGcWvaA_", "source": "https://news.google.com/rss/articles/CBMipAFBVV95cUxNMGFLaHgwaEl2RTBwMS1oRjEtV01fX1FYblNvSDZiZmptT1o4SDFzVW5HckZ0X1dza2VzMFNKaFpEWk4xSmZoOWRxS3lBVE5rNnptZ2IzV0tOalVtX1BaTGU5OFZSSkxCUkp4dTc4X05oRFlOMHVTV2x2UXZSdU02TUk1UWowQkd5OUNzQzhxVzlfOTZTbFRGNmcycjF1d1hIUUw3SA?oc=5" }, "limits": [ "do not infer facts absent from RSS payload", "do not treat RNN priority as independent verification", "open source link before high-impact action" ], "deltaType": "packet-observed", "updatedAt": "2026-05-18T21:35:00.000Z", "sourceReviewUrl": "https://news.google.com/rss/articles/CBMipAFBVV95cUxNMGFLaHgwaEl2RTBwMS1oRjEtV01fX1FYblNvSDZiZmptT1o4SDFzVW5HckZ0X1dza2VzMFNKaFpEWk4xSmZoOWRxS3lBVE5rNnptZ2IzV0tOalVtX1BaTGU5OFZSSkxCUkp4dTc4X05oRFlOMHVTV2x2UXZSdU02TUk1UWowQkd5OUNzQzhxVzlfOTZTbFRGNmcycjF1d1hIUUw3SA?oc=5", "json": "/api/v1/packets/gnews-boston-dynamics-atlas-latest-d90245f7%3A-w12LBPvehDGcWvaA_" } ], "usage": "Call again with nextCursor as cursor to get packets observed after this response." }