Source URL: https://simonwillison.net/2025/Aug/10/sam-altman/#atom-everything
Source: Simon Willison’s Weblog
Title: Quoting Sam Altman
Feedly Summary: the percentage of users using reasoning models each day is significantly increasing; for example, for free users we went from <1% to 7%, and for plus users from 7% to 24%. — Sam Altman, revealing quite how few people used the old model picker to upgrade from GPT-4o Tags: openai, llm-reasoning, ai, llms, gpt-5, sam-altman, generative-ai, chatgpt AI Summary and Description: Yes Summary: The text reflects a significant increase in user engagement with reasoning models, highlighting shifts in usage patterns among free and paid users. This trend is noteworthy for AI professionals and developers, especially those focusing on user interaction with advanced models like GPT-4 and upcoming iterations. Detailed Description: The provided text indicates an upward trend in the adoption of reasoning models by users, particularly within the OpenAI ecosystem. The percentage of users engaging with these models has increased dramatically, suggesting a growing awareness and appreciation for advanced AI functionalities. Key insights include: - **User Engagement Growth**: - Free users' engagement with reasoning models rose from less than 1% to 7%. - For paid (Plus) users, engagement increased from 7% to 24%. - **Implications for AI Development**: - This growth may suggest that more users are recognizing the value of advanced reasoning capabilities in AI, which could drive further enhancements and iterations of such models. - Developers and businesses leveraging AI might consider focusing on user education and support to maximize engagement with these advanced features. - **Future Considerations**: - The trend might influence the development roadmaps for next-generation AI models like GPT-5, with an emphasis on enhancing user experience and accessibility. - Increased user interaction can lead to more feedback, which is crucial for improving model accuracy and functionality. The data reveals not just an increase in usage, but potentially the foundational shift in how users interact with AI models, paving the way for advancements in AI applications and architectures. Security professionals should also take note of these trends as more users utilize complex functionalities, emphasizing the need for ongoing attention to security measures around these increasingly robust systems.