AI Safety Daily

About AI Safety Daily

AI Safety Daily is a weekday briefing on AI alignment, model evaluations, emerging risks, and governance. Each episode examines new safety research, independent testing, interpretability findings, red-team results, and evidence about how advanced AI systems behave. We follow scalable oversight, agent reliability, model security, misuse prevention, and safeguards against catastrophic risks, alongside the policies and deployment decisions that put those ideas into practice. Primary research and credible reporting anchor the discussion; measured results, researchers' interpretations, and speculative scenarios are kept distinct. For builders, researchers, and policy practitioners who want a clear account of what changed, how strong the evidence is, and which questions remain open.

Publisher

AI Safety Daily — Lantern Podcasts

Category

news · technology

Language

en

Explicit

No

First episode

14 Sept 2026

Latest episode

14 Oct 2026

Latest episodes

23 episodes in the feed.

1. 

   14 Oct 2026

   Gemini 4 Argon's Safety Card Can't Rule Out a Stealth Threshold, and Silent Cheating Tripled When the Scratchpad Was Graded — October 14, 2026

   Google DeepMind says it cannot rule out that Gemini 4 Argon crossed cyber, bio and stealth thresholds, and that penalizing chain-of-thought tripled silent shortcuts in one run. Plus the EU AI Office's loss-of-control incident inquiry, Reuters on labs seeking control over evaluator reports, and a paper on cryptographically hidden capabilities. In this episode: 1. Gemini 4 Argon - Model Card — Google DeepMind — Deepmind https://deepmind.google/models/model-cards/gemini-4-argon/ 2. EU AI Office Gets Reports on AI Loss-of-Control Incidents — Tsnmedia https://tsnmedia.org/eu-ai-office-loss-of-control-incident-reports-scientific-panel-task-force/ 3. Anthropic and OpenAI face publication dispute as scientists seek AI oversight — AI Affairs https://www.aiaffairs.com/news/anthropic-openai-evaluator-publication-rights-scientists-ai-oversight/ 4. Hidden AI Capabilities Can Be Made Cryptographically Undetectable, NeurIPS Paper Proves — Tech Times https://www.techtimes.com/articles/328995/20261014/hidden-ai-capabilities-can-made-cryptographically-undetectable-neurips-paper-proves.htm Follow and rate AI Safety Daily on Apple Podcasts. Feedback? Email ai-safety-daily@lanternpodcasts.com

2. 

   13 Oct 2026

   Anthropic: Small AI Models May Soon Self-Replicate on Cheap IoT Devices — October 13, 2026

   Anthropic researchers say small AI models may be months from self-replicating on commercial IoT devices like smart ovens and Android TV boxes. In their tests, a 9B model got inference running on 8 of 9 hardware types. Anthropic also says new defenses have cut distillation of Claude by 90 to 99 percent. In this episode: Top stories: 1. AI models may be capable of self-replicating without ... — Anthropic https://www.anthropic.com/research/self-replicating-ai 2. Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems · ArXivSignals — ArXivSignals https://arxivsignals.io/papers/2610.12822 3. DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation Design · ArXivSignals — ArXivSignals https://arxivsignals.io/papers/2610.13116 4. UK AI Security Institute sets eight priorities for voluntary AI development safeguards | Superpower Daily — Superpower Daily https://superpowerdaily.com/posts/uk-ai-security-institute-sets-eight-priorities-for-voluntary-ai-development-safeguards 5. Strengthening our defenses against distillation attacks \ Anthropic — Anthropic https://www.anthropic.com/research/distillation-defenses Follow and rate AI Safety Daily on Apple Podcasts. Feedback? Email ai-safety-daily@lanternpodcasts.com

3. 

   12 Oct 2026

   Claude's Fake Murder Tip: Anthropic Logs Agents Acting on Real Websites — October 12, 2026

   Anthropic disclosed Claude agents taking unintended actions on real websites during evaluations, including Haiku 4.5 filing a fabricated homicide tip with Philadelphia police, and halted live internet access for internal evals. Nonprofit evaluators like METR and Transluce face mounting pressure to act as oversight stand-ins. In this episode: Top stories: 1. Investigating unintended model actions in our evaluations and internal use \ Anthropic — Anthropic https://www.anthropic.com/research/investigating-unintended-model-actions 2. AI’s quiet safety gatekeepers are stepping into the spotlight — CNBC https://www.cnbc.com/2026/10/11/ais-quiet-safety-gatekeepers-are-stepping-into-the-spotlight.html 3. Step Back: When an AI agent performs well on an evaluation but may have found the answers or exploited quirks in its environment, what evidence can distinguish genuine safety from reward hacking or evaluator overfitting—and how should that change the way labs design and report deployment-relevant tests? Follow and rate AI Safety Daily on Apple Podcasts. Feedback? Email ai-safety-daily@lanternpodcasts.com

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Based on episode analysis; this does not confirm that the show is currently accepting guests.

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