Mixture of Experts GPT-5.1 and Kimi K2: What ‘Thinking AI’ really means
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Nov 14, 2025 This discussion features Kaoutar El Maghraoui, an expert in hybrid cloud platforms, Aaron Baughman, an IBM Fellow focused on AI behavior, and Mihai Criveti, who specializes in agentic AI security. They delve into the performance and implications of GPT-5.1 versus Kimi K2 Thinking, emphasizing user experience and the trade-offs of personalization. The conversation raises concerns about Microsoft's plan for autonomous agents in enterprises, covering security risks and the ethical complexities of blending human and AI interactions.
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Conversation Over Benchmarks
- OpenAI emphasized conversational style and warmth as key improvements in GPT-5.1 rather than only raw benchmark gains.
- This signals a shift toward user experience and personalization as differentiators in commoditized model performance.
Router-Based Model Variants
- Aaron described GPT-5.1 as a router that directs queries to either an instant or a thinking variant based on needs.
- This architecture balances latency and deeper chain-of-thought reasoning within one product.
Give Users Control Over Personalization
- Provide users control over model customization and memory to preserve trust and agency.
- Design settings that let users opt in or out of personalization and explain what is learned and stored.