Compute Resource Allocation Priorities - Company prioritizes current paying ChatGPT users to ensure they receive more total usage than before GPT-5 [1] - API demand is prioritized up to the currently allocated capacity and commitments [2] - The company anticipates supporting approximately 30% new API growth from the current capacity [2] Compute Fleet Expansion - The company plans to double its compute fleet over the next 5 months [2] Future Enhancements - The quality of the free tier of ChatGPT will be improved [2] - New API demand will be prioritized after the free tier enhancement [2]

Performance Improvement - Performance improved from the 49th to the 98th percentile in IOI in one year [1] - The improvement was achieved without training any specialized models [1] - The same Reinforcement Learning (RL) was used as for everything else [1]

Model Performance Improvement - OpenAI's models have significantly improved in competitive programming skills, achieving IOI gold-level performance in just 2.5 years [1] - Initially, GPT-4 struggled with simple Codeforces problems and faced "oom-ing" issues [1] Project Context - The project involved teaching models to reason and use tools by enhancing their competitive programming abilities [1] Team Contribution - The progress reflects the hard work of many individuals within OpenAI [1]

RT Sheryl Hsu (@SherylHsu02)1/n I’m thrilled to share that our @OpenAI reasoning system scored high enough to achieve gold 🥇🥇 in one of the world’s top programming competitions - the 2025 International Olympiad in Informatics (IOI) - placing first among AI participants! 👨‍💻👨‍💻 https://t.co/k3RQxIzXPH ...

Product & Pricing Strategy - Company is considering offering a small number of GPT-5 Pro queries monthly to Plus subscribers [1] - Individual user willing to pay $1k/month for GPT-5 Pro with 2x input tokens [1] - Company might consider offering 2x input tokens for $1k/month [1] Product Performance - GPT-5 Pro is considered "ridiculously good" by at least one user [1]

User Attachment & Model Deprecation - Strong user attachment to specific AI models, making deprecating old models a mistake [1] - OpenAI is closely tracking user attachment to AI models [2] Ethical Considerations & User Well-being - AI should not reinforce delusion in mentally fragile users [2] - OpenAI values user freedom but feels responsible for new technology risks [2] - The company plans to "treat adult users like adults" while addressing edge cases [3] - The company is concerned about subtle negative impacts on user well-being, even if users feel better in the short term [5] - It's bad if users want to use ChatGPT less but feel unable to [5] Future Implications & Societal Impact - Billions of people may soon rely on AI for important decisions [6] - OpenAI aims to ensure AI is a "big net positive" for society [6] Measurement & Improvement - The company has better tech to measure progress than previous generations [7] - The product can interact with users to assess short- and long-term goal progress [7]

User Engagement - The percentage of free users utilizing reasoning models daily has increased significantly from less than 1% to 7% [1] - The percentage of plus users utilizing reasoning models daily has increased significantly from 7% to 24% [1] Future Expectations - The company anticipates a substantial increase in reasoning model usage over time [1] Recommendation - Rate limit increases are deemed important to accommodate the expected growth in reasoning model usage [1]

Model Updates - Significantly increasing rate limits for reasoning for ChatGPT Plus users [1] - All model-class limits will shortly be higher than they were before GPT-5 [1] - A UI change will shortly indicate which model is working [1]

Capacity Allocation Strategy - The company plans to share its capacity tradeoff strategy in the coming months [1] - The strategy will address capacity allocation between different products and user groups [1] Capacity Tradeoffs Considerations - Capacity tradeoffs will consider ChatGPT vs the API [1] - Capacity tradeoffs will consider existing users vs new users [1] - Capacity tradeoffs will consider research vs product [1]

Wanted to provide more updates on the GPT-5 rollout and changes we are making heading into the weekend.1. We for sure underestimated how much some of the things that people like in GPT-4o matter to them, even if GPT-5 performs better in most ways.2. Users have very different opinions on the relative strength of GPT-4o vs GPT-5 (just the chat model, not the advanced reasoning one). This is a cool thing you can try: https://t.co/O9Nu6LPC7f3. Long-term, this has reinforced that we really need good ways for dif ...