
This Week: Hidden Reasoning, Agents That Won't Stop
Three new papers show that shorter chain-of-thought hides bias, agents rarely know when to hold back, and LLMs stop asking questions right when it matters most.
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Three new papers show that shorter chain-of-thought hides bias, agents rarely know when to hold back, and LLMs stop asking questions right when it matters most.

Anthropic's Claude Science workbench completes a three-way AI battle with Google DeepMind and OpenAI over drug discovery, backed by Nobel laureate John Jumper and 60+ scientific database integrations.

Three papers from today's arXiv: a 32B medical model beats DeepSeek-R1 in rare disease diagnosis, a KV cache method keeps 97% accuracy with 3% memory, and a new benchmark red-teams agentic AI systems.

OpenAI's life sciences reasoning model gets a June update with global access and new NGS plugins - strong benchmarks, but still locked behind a Trusted Access Program with no public pricing.

Three papers: smarter CoT trimming cuts reasoning length by 50%, a plug-in context manager rescues frozen agents on long tasks, and a 960K-item clinical benchmark exposes LLM gaps in hospitals.

Three new papers cover 4x KV cache savings for tree reasoning, latent-space jailbreaks that bypass safety on 15 models, and GPT-5.4's 40% ceiling on drug design tasks.

Seven AI tools for doctors compared on task fit, pricing, and clinical accuracy - from OpenEvidence and Glass Health to UpToDate Expert AI and Freed.

Anthropic commits $200M in grants, Claude credits, and technical support to the Gates Foundation for AI in global health, education, and agriculture over four years.

Learn when AI can genuinely help with health questions, when it falls short, and how to ask smarter questions to get safer answers.

REDMOD, Mayo Clinic's radiomics AI, detects 73% of pancreatic cancers in CT scans that look normal to radiologists - nearly double the rate specialists achieve.

A peer-reviewed Science study puts OpenAI o1 through 76 live emergency room cases - and the model beats expert physicians on initial triage with 67.1% accuracy against 55% and 50%.

A beginner's guide to using AI tools like ChatGPT, Fitbod, and Freeletics to build personalized workout plans and reach your fitness goals faster.