agent harnesses

LIVE PULSE

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

topic2 events

papersTODAY 04:00 UTC

arXiv paper proposes ModularRSI for generalizable agent harness self-improvement

A new arXiv preprint introduces ModularRSI, a method aimed at making recursive self-improvement of agent harnesses both modular and generalizable. Prior work has shown agents can refine their execution mechanisms through experience on long-horizon coding and terminal tasks, but transferring those gains across settings remains difficult. The paper frames generalization as the main open obstacle for harness-level self-improvement.

agents/research/self-improvement/arxiv

papersSEP 10 04:00 UTC

RobustSGPO adds search-space control to semantic-gradient prompt optimization for agent harnesses

A new arXiv preprint presents RobustSGPO, an extension of semantic-gradient prompt optimization for evolving agent harnesses with execution feedback. The method addresses an unresolved part of SGPO's local update rule—deciding which portion of the prompt to edit and what kind of change to make—by constraining the search space of candidate edits. According to the authors, specifying the requested edit at each step makes automated harness improvement more controlled.

agents/prompt-optimization/research/arxiv