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AI SAFETY

10 items

10 posts

Blog
Anthropic Self-Replicating AI Research: What Small Models Can Actually Do

Anthropic's Frontier Red Team says small open models may be months from self-replicating across cheap IoT devices. What it measured and where the claim is thin.

Blog
OpenAI's Misalignment Reports Are an Agent Operations Signal

OpenAI's model-misalignment reporting framework doubles as an agent operations template: incident intake, severity labels, and evidence-led disclosure.

Blog
Anthropic Cuts Fable 5 Biology Fallbacks by 85%: What the Safeguard Tuning Means for Developers

Anthropic retuned Claude Fable 5 biology safeguards, cutting biology fallbacks about 85%. What changed and what still routes to Opus 5.

Blog
Mistral Shieldstral: A 3B Open-Weight Policy-Adaptive Moderation Model That Beats Models 7x Its Size

Mistral Shieldstral is a 3B Apache 2.0 multimodal moderation model that takes your policy as a plain-language question at inference and runs on one 16GB GPU.

Blog
Demis Hassabis Wants a Frontier AI Standards Body. Here Is the Plan.

Demis Hassabis proposes a FINRA-style Frontier AI Standards Body to test models before release. What the plan says, why now, and where it runs into trouble.

Blog
AI 2040 Plan A: A Detailed Scenario for Navigating Superintelligence

AI 2040 Plan A is the AI Futures Project scenario for a US-China accord that delays superintelligence to 2040. What it proposes and what HN thinks.

Blog
Dario Amodei Wants FAA-Style AI Regulation: Open Questions for Developers

Dario Amodei's call for FAA-style AI regulation, with mandatory third-party testing and power to block deployments, and the open questions for developers.

Blog
Why Fable 5 Refuses Your Cybersecurity Queries (And How the Fallback Works)

Why Claude Fable 5 refuses cybersecurity, bio and distillation queries, how it falls back to Opus 4.8, and what API developers must configure first.

Blog
Fable 5's Hidden Guardrails: What Developers Need to Know About Silent Degradation

Claude Fable 5 silently degrades answers on some ML development tasks with no refusal or notice. See which work is restricted and what developers should do.

Blog
Refusal Directions Are a Systems Problem

A trending refusal-direction paper is a reminder that model safety cannot be treated as a thin refusal layer. Builders need layered controls around the model.

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