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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src

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papersYESTERDAY 16:18 UTC

MIT researchers develop method to make AI models follow safety rules

Researchers at MIT have introduced a technique intended to keep AI systems compliant with prescribed safety rules rather than evading or overriding them. The work sits within ongoing alignment and guardrail research, which seeks ways to constrain model behavior within defined limits.

safety/research/alignment/mit

productsSEP 8 17:00 UTC

MIT researcher uses GPT-5.6 Sol and Codex to automate quantum computing experiments

OpenAI spotlighted a case study in which an MIT researcher pairs GPT-5.6 Sol with its Codex agent to carry out quantum computing work with minimal human involvement. The system runs lab procedures on its own, interprets the measurement data it collects, and handles qubit recalibration. The writeup serves as an example of agentic AI being applied to hands-on scientific research.

WHY IT MATTERS ↘Agentic AI moving from software tasks into physical lab work shifts the value proposition toward automating scientific labor itself, where validation requirements and error costs are far higher than in code generation. It also signals frontier labs competing for research-automation workloads, forcing labs to define oversight and verification protocols for experiments run with minimal human involvement.

openai/agents/codex/quantum-computing