#ml-theory

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4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src

2 curated events

papersTODAY 04:00 UTC

arXiv paper examines stabilizing performative feedback loops with fewer model deployments

A new arXiv preprint studies settings where algorithmic predictions shape the behavior of the people who act on them, creating a feedback loop between the model and its environment. The authors analyze how limiting the number of model deployments affects whether such performative loops remain stable. The work is theoretical and no code or product release is described in the abstract.

research/performative-prediction/feedback-loops/ml-theory

papersSEP 11 04:00 UTC

VALG: Agentic System for ML Theory Research

A preprint presents VALG, an agentic system designed to help with research in machine learning theory, where a learning procedure is formalised through elements such as the data model, training protocol, oracle access, loss, metric and randomness. The authors frame theorem-proving in this setting as an open problem the system aims to address, and the paper is a revised cross-listing on arXiv.

agents/ml-theory/arxiv/research