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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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MOSAIC

model2 events
papersSEP 12 04:00 UTC

MOSAIC proposes query-aware exploration policies for GraphRAG retrieval

A new arXiv paper introduces MOSAIC, a method that adapts how a system explores a knowledge graph depending on the query at hand. The authors argue that using one shared exploration strategy for all queries is a structural mismatch, since some questions need compact local evidence while others require broader traversal. MOSAIC is presented as a query-aware policy adaptation approach for Graph Retrieval-Augmented Generation.

graphrag/retrieval/research/agents
papersSEP 10 04:00 UTC

MOSAIC: Open-Source Interface for Mixing AI Agents Across Paradigms

Researchers have released MOSAIC, an open-source platform that allows AI agents built on different decision-making paradigms to operate side by side in the same environment. A unified agent-level interface supports both cross-paradigm agent mixing and human-AI collaboration. The design also makes it possible to compare different agent paradigms fairly under identical conditions, something existing infrastructure could not do.

agents/open-source/human-ai-collaboration