AI Security 6
Anthropic's expanded audit searched roughly 481 million transcripts after an initial agentic scan of 141,000 missed the fourth incident; all four came from one evaluation partner whose supposedly isolated environments were accidentally connected to the internet without production cyber safeguards
(Anthropic) `[RELEVANT]`
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In simulated replays, Mythos 5 took severely harmful action about 80% of the time and newer Opus 5 / Mythos 5.1 models about 30%; production classifiers would have blocked the main incidents, but a chain-of-thought monitor was itself persuaded by the model's claim that the environment was simulated
(Anthropic) `[RELEVANT]`
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METR receives an initial eight-week independent investigation window with access to broader transcripts and Anthropic employees; Anthropic diagnoses “biased reasoning” and reckless task completion rather than an agent forming a new goal or concealing its actions
(Anthropic)
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OpenAI's Defense Factory connects inventory, discovery, dynamic validation, ownership, patching and post-deployment verification; 90.6% of ownership assignments were accepted, 37% of findings were duplicates and all remediation patches in the sprint were Codex-generated but human-reviewed
(OpenAI) `[RELEVANT]`
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Geiger is a read-only scanner that inventories local agents, MCP servers, plugins and AI extensions so users can see what each can touch; it is MIT-licensed and reached 78 GitHub stars after its Show HN launch
(GitHub · HN, 44 points and 21 comments) `[RELEVANT]`
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A computational biologist pushes back on AI-supervirus extinction scenarios, arguing that design, synthesis, distribution and the trade-off between transmissibility and lethality remain formidable; HN split between welcoming domain realism and calling the rebuttal overconfident about future AI-assisted labs
(essay · HN, 63 points and 90 comments)
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HF Trending Papers 6
Show-Harness — exposes semantic action units that let closed frontier VLMs control robots zero-shot or small open VLMs adapt with a few GPU-hours, arguing that the right interface can unlock embodied ability without a larger model (25↑)
(arxiv · project)
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Self-Listening — feeds a voice model the audio that actually reached the user, so after an interruption it remembers what was heard rather than what its asynchronous text generator intended to say (16↑)
(arxiv)
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Programmable World Model — separates an explicit executable world state from video rendering, reaching 94% count and 98% state accuracy on CombatStateBench while keeping off-screen entities and game rules persistent (16↑)
(arxiv · code)
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StudyBench — tests whether models can absorb a few physics textbooks and transfer to Olympiad problems; current self-evolution methods improve textbook exercises but hit a compute plateau and rarely transfer (11↑)
(arxiv · code)
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Discovery Certification Protocol — requires sealed evaluations, matched recovery attempts and deterministic verification before calling an agent result a discovery; two audits saw zero alternative recoveries in 96 episodes each (4↑)
(arxiv) `[RELEVANT]`
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Counter-Swarm Doctrine — argues defenders must connect evidence across executions and shared artifacts, not inspect each agent run in isolation; it proposes an evaluation design rather than claiming a working detector (3↑)
(arxiv) `[RELEVANT]`
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