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Person: "yanndubs"
OpenAI's IMO Gold model also wins IOI Gold
gpt-5 gpt-5-thinking gpt-5-mini gemini-2.5-pro claude opus-4.1 openai google-deepmind anthropic reinforcement-learning benchmarking model-performance prompt-engineering model-behavior competitive-programming user-experience model-naming model-selection hallucination-detection sama scaling01 yanndubs sherylhsu ahmed_el-kishky jerry_tworek noam_brown alex_wei amandaaskell ericmitchellai jon_durbin gdb jerryjliu0
OpenAI announced placing #6 among human coders at the IOI, reflecting rapid progress in competitive coding AI over the past two years. The GPT-5 launch faced significant user backlash over restrictive usage limits and removal of model selection control, leading to a reversal and increased limits to 3000 requests per week for Plus users. Confusion around GPT-5 naming and benchmarking was highlighted, with critiques on methodological issues comparing models like Claude and Gemini. Performance reviews of GPT-5 are mixed, with claims of near-zero hallucinations by OpenAI staff but user reports of confidence in hallucinations and steering difficulties. Benchmarks show GPT-5 mini performing well on document understanding, while the full GPT-5 is seen as expensive and middling. On the Chatbot Arena, Gemini 2.5 Pro holds a 67% winrate against GPT-5 Thinking. Prompting and model behavior remain key discussion points.