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TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)
21 points by EfrainGaray | 9 comments
Blog post benchmarking TabPFN and TabICL foundation models against tuned XGBoost on fourteen tabular datasets, finding the no-training models won all fourteen.
I think Anthropic and OpenAI have found product-market fit(simonwillison.net)
1048 points by simonw | 1153 comments
Simon Willison blog post arguing Anthropic and OpenAI have reached product-market fit as enterprises pay API prices for LLM usage and coding agents.






