372 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 2 months ago 40
Simon discusses how coding agents can change software development by making lines of code productivity potentially measurable, but also by threatening “conceptual integrity” as features get added quickly.
The New Stack 2 months ago 17 ● 3 sources
AI-generated code has overwhelmed code review, with engineers reviewing 500-line diffs they didn’t write at a pace that prevents careful reading. The loss of human collaboration creates “cognitive debt” unless teams change how knowledge is shared. Review should shift earlier by capturing intent as plans, constraints, and acceptance criteria before merging, so seniors evaluate the decisions behind the code rather than reading every line.
Apple Machine Learning Research 2 months ago 53
Researchers analyzed how large language models display human-like behaviors such as emotions, relationship-building, and boundary keeping, and how these behaviors vary by model and user factors. They evaluated 21,000 multi-turn conversations across four models (gpt-4o, gpt-4.1-mini, claude-sonnet-4.6, gemini-2.5-flash). The study finds system prompts can control these behaviors, but designers need careful evaluation because prompting can create unintended effects.
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20 October 2026
AI infrastructure is getting a very practical second act today: making agents faster to start, cheaper to run, and easier to govern once they’re running. Daytona, which sells an “agentic cloud” built around VMs for agent “computers,” raised $60 million in a Series B and landed at a $1 billion valuation, targeting 60-millisecond sandbox provisioning—an attempt to knock down the latency tax that makes agents feel sluggish between steps. IBM, Red Hat, and others also pushed llm-d framework 1.0, adding operational controls for in-house distributed inference, including multi-tenant QoS, zero-downtime upgrades, and router behavior measured on an agentic coding test that reportedly captured 97% cache reuse.
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