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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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papersSEP 12 04:00 UTC

Mr.LHDR benchmark evaluates multimodal long-horizon deep research agents

A new arXiv paper introduces Mr.LHDR, a benchmark designed to test deep research agents on extended, multi-step tasks. The authors note that current benchmarks mostly measure shorter exploratory work and seldom assess whether agents can keep going over long horizons. It focuses on web search, tool use and combining evidence from multiple modalities.

benchmarks/agents/multimodal/research

papersSEP 10 04:00 UTC

Benchmarking Hybrid Deep Research Across Database Querying and Web Search

A new arXiv paper presents a benchmark that evaluates AI research agents on tasks requiring both structured database querying and open-web exploration. The authors note that real analytical work rarely stays within a single environment, so their setup measures how well agents combine data retrieval from databases with web-based information gathering. The result offers a standardized testbed for comparing hybrid deep-research capabilities.

agents/benchmark/deep-research/databases