102 summarised stories about Generative AI, each linking back to the original source. Browse all topics →
Simon Willison's Weblog 2 months ago 27
Niklas Gruhn introduces the term "meat proxy" to describe people who unthinkingly relay AI-generated outputs to others without processing them. The practice involves copying and pasting system output directly without reading, understanding, or validating the content. Adding value requires users to engage with AI output critically and communicate findings in their own words rather than serving as passive conduits.
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16 October 2026
AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.
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