Limitless Podcast "Kimi K2 Thinking" is China's Plan To End American AI Dominance
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Nov 11, 2025 Dive into the unveiling of Kimi K2 Thinking, a groundbreaking open-source AI model competing with giants like GPT-5 and Gemini. Discover how its mixture-of-experts architecture slashes costs while enhancing performance. The discussion highlights the stark contrasts between U.S. and Chinese AI innovations. Reflect on the implications for consumer access and the evolving landscape of AI technology. Plus, explore why open-source may be the future for high-level AI, benefiting everyone for a fraction of historical costs.
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Open Source Model Tops Benchmarks
- Kimi K2 Thinking is an open-source Chinese model that outperforms GPT-5 and Gemini on many benchmarks.
- Moonshot AI Labs trained it for ~$4.6M and released weights so anyone can run it locally for free.
Mixture Of Experts Drives Efficiency
- Kimi K2 uses a Mixture of Experts (MoE) architecture with 384 specialists to cut compute.
- It has ~1T parameters but activates only ~32B at once, driving massive cost efficiency.
Huge Cost Gap Between Labs
- Chinese labs achieve frontier models with far less capital by optimizing architectures and workflows.
- Moonshot trained Kimi K2 for millions vs. rumored billions for GPT-5, revealing a major cost gap.