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Simon Willison's Weblog 3 months ago 38 ● 2 sources
Kimi K3 refused to leak its system prompt when asked, responding with a question about whether it could help with something else. The interaction was collected and posted by Simon Willison on July 17, 2026, and categorized under AI, generative AI, and LLM topics. This demonstrates how modern AI models are designed to decline requests that compromise their internal instructions.
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24 October 2026
The story of the day is how AI systems are trying to do real work end to end—and how companies are discovering that “agentic” only matters when verification can keep up. Anthropic said its merged code changes jumped from about 2,500 per day in May to over 30,000 by September as it added software-factory workflows, but the point wasn’t volume; it was building a fast, high-fidelity “sensor” that prevents agents from outrunning tests. AWS’s Continuum leans into the same discipline in code security: in CyberGym-E2E it completed 89.0% of end-to-end tasks and kept tests passing 89.0% of the time, yet only 37.8% of patches fixed the specific historical bug the benchmark chose—an important reminder that accuracy in the general is not the same as correctness in the particular.
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