Kimi K3 is a highly capable model with excellent benchmarks, but its raw capabilities are not yet at the level of closed models, likely due to its relatively large size (2.8T parameters) and slower performance. Despite this, it is expected to outperform on certain benchmarks relative to practical performance and may be a good choice for specific workflows, but not a replacement for smaller, cheaper open models. The model's capabilities are also subject to error bars due to limited access and the need to correct for overperformance on benchmarks. AI summary
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This episode features Qasar Younis and Peter Ludwig, co-founders of Applied Intuition, discussing their company's mission to build physical AI for various moving systems like cars, trucks, and mining equipment. They delve into the evolution…