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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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self-evolving-agents

topic2 events
papersTODAY 04:00 UTC

ClinicalReTrial: Self-Evolving Agents for Clinical Trial Redesign

A new arXiv paper introduces ClinicalReTrial, a system that uses self-evolving AI agents to revise clinical trial protocols. The work targets the high cost and complexity of drug development, where trial designs are written as lengthy natural-language documents that are difficult to analyze manually. The authors frame agent-based redesign as an alternative to conventional manual protocol review.

papersSEP 12 04:00 UTC

Self-Evolving LLM Agent Accumulates Skills for Urban Traffic Simulation

Researchers introduce SimSkill, an agent that draws on the idea of cumulative culture to retain and build on skills and knowledge over repeated experiences. The system is designed for the Simulation of Urban MObility (SUMO) traffic environment, where it evolves its own capabilities rather than relying on fixed, hand-crafted policies. A revised version of the preprint is now available on arXiv.