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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
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AI reliability

topic4 events
papersTODAY 04:00 UTC

arXiv Paper Proposes Adaptive Harness for Long-Horizon Clinical LLM Agents

A new arXiv preprint introduces Asclepius, a harness designed to keep LLM agents stable during long clinical tasks rather than short single-step prompts. The authors evaluate it in a Clinical Environment Simulator where an agent handles extended workflows under resource contention, arguing that current benchmarks miss this class of failures. The work targets reliability problems that appear only in hours-long deployments.

agents/healthcare/benchmarks/llm-agents
papersTODAY 04:00 UTC

Study Finds Clinical LLM Agents Give Inconsistent Orders Across Repeated Runs

A new arXiv paper examines how clinical LLM agents behave when given the same patient case multiple times. Although the agents often reach the same overall judgment, the tests, medications, and referrals they order can differ substantially between runs. The authors argue that evaluating these agents on a single run per task can hide this variability and misrepresent their reliability.

agents/healthcare/reliability/benchmarks
papersTODAY 04:00 UTC

Study finds tool-using AI agents fabricate values when tools fail

A new arXiv paper examines what tool-augmented language models do when a tool call fails to return usable information, rather than focusing only on whether they reach the correct answer. The authors built a benchmark of 1,024 items spanning 16 internal systems to isolate this post-failure decision point. They find that agents tend to assert values their tools never returned instead of reporting the failure honestly.

agents/tool-use/benchmark/safety
papersTODAY 04:00 UTC

Study Finds Chemical Chain-of-Thought in Reasoning Models Prone to Hallucination

A new arXiv paper examines how language models trained for chemical reasoning use chain-of-thought steps, and finds that the intermediate reasoning frequently contains fabricated content. Testing four reasoning model families across twelve chemistry tasks, the authors report that hallucination is widespread and largely disconnected from the final answer. The work suggests chain-of-thought traces in this domain act more like an unreliable scratchpad than a faithful record of the model's reasoning.

hallucination/reasoning/chain-of-thought/chemistry