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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src
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ai-research-preprints

topic2 events
papersTODAY 04:00 UTC

Dreaming in Code: Curriculum Learning for Open-Ended Worlds

A revised arXiv paper proposes a method for generating training environments as code, aiming to support curriculum learning in open-ended settings where agents face a continually expanding space of tasks. It builds on prior work that uses foundation models to programmatically produce diverse environments, extending it toward structured curricula. The work is a research preprint and has not been peer-reviewed.

papersSEP 12 04:00 UTC

arXiv Paper Introduces Headroom-Closed Index for Recursive Self-Improvement

A new arXiv preprint examines recursive self-improvement, the idea that AI systems can convert feedback and experience into lasting upgrades to both their abilities and their future improvement process. The author proposes a metric called the Headroom-Closed Index (HCI) to frame and diagnose a problem in this area. The work is a conceptual research contribution rather than a released model or product.