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AI Evaluation

357 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →

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Sunday, 11 October 2026

Google’s AMIE clinical study reports diagnosis list appeared 90% of the time

Google 6 days ago 3 ● 2 sources

Google researchers and BIDMC ran a real-world clinical study of AMIE, a diagnostic AI chatbot, with 98 patients before urgent care visits. AMIE’s differential diagnoses matched doctors’ final diagnoses 90% of the time. The study reported no conversation interruptions under predefined safety criteria and said clinicians found the AI summaries helpful in 75% of cases and changed their care approach in more than half.

Agentic workloads break assumptions about software testing. Here’s how to cope

SiliconANGLE 6 days ago 35

Agentic AI workloads undermine common enterprise testing assumptions, causing pilots that work interactively to fail when run unattended. Work can take minutes and retries can accumulate hidden monthly costs, with teams needing acceptance criteria and cost tracking such as cost per completed unit. Teams must add continuous run logging and reproducible records, cap and measure attempts, and ensure model/version changes are tested and traceable for investigation.

The Sequence Radar - Issue 948: Last Week in AI: Billions in Funding, Hundreds of Papers, One Big Leap?

TheSequence 6 days ago 33 ● 2 sources

The Sequence Radar Issue 948 reviews recent AI model launches, funding rounds, and research papers while arguing that the AI market is splitting into separate problems beyond just building better chatbots. Reflection introduced Beam, a 501 billion-parameter mixture-of-experts model with 23 billion active per token. The result is more emphasis on deployment control and behavior evaluation for agents, alongside ongoing progress in AI research for robotics and agent training frameworks.

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