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Topic: "ai-chip-competition"
o1: OpenAI's new general reasoning models
o1 o1-preview o1-mini gpt-4o llama openai nvidia test-time-reasoning reasoning-tokens token-limit competitive-programming benchmarking scaling-laws ai-chip-competition inference training model-performance jason-wei jim-fan
OpenAI has released the o1 model family, including o1-preview and o1-mini, focusing on test-time reasoning with extended output token limits over 30k tokens. The models show strong performance, ranking in the 89th percentile on competitive programming, excelling in USA Math Olympiad qualifiers, and surpassing PhD-level accuracy on physics, biology, and chemistry benchmarks. Notably, o1-mini performs impressively despite its smaller size compared to gpt-4o. The release highlights new scaling laws for test-time compute that scale loglinearly. Additionally, Nvidia is reportedly losing AI chip market share to startups, with a shift in developer preference from CUDA to llama models for web development, though Nvidia remains dominant in training. This news reflects significant advances in reasoning-focused models and shifts in AI hardware competition.