RLVR amplifies reasoning patterns that already exist. Qwen2.5-Math can uniquely do “code reasoning”-solving math by writing Python💻 (without execution). Code reasoning correlates with correctness (64% w/ vs 29% w/o). Spurious training amplifies code usage to 90%+. Just having reasoning models do more work in general, makes them improve performance. 💡Our hypothesis: RLVR amplifies reasoning patterns ...
Websim.ai is an AI-powered platform that allows users to generate and explore a simulated version of the internet. It uses advanced AI models like Claude 3.5 Sonnet and GPT-4o to create interactive websites, visualizations, and functional code in response to user prompts. Users can sign in with their Google or Discord accounts and input prompts ... Read more
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