Don't Worry About the Vase Podcast Kimi K2 Thinking
Nov 12, 2025
Exciting discussions revolve around K2 Thinking, evaluating its writing capabilities and agentic tool use. The hosts delve into the debate on performance claims versus actual benchmarks, examining community reactions. They explore the intriguing concept of 'just as good' marketing, which might obscure underlying gaps. Unique cognitive debiasing strategies used by K2 are highlighted, alongside its impressive but not flawless results. Despite its strengths, there’s a surprising lack of buzz in the community, leaving listeners curious about its potential applications.
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Open Model Claims Versus Reality
- Kimi K2 Thinking is an open-source 1T-parameter model built as a 'thinking agent' with large context and many tool calls.
- Its internal SOTA claims (e.g., 44.9% HLE) may differ from outside measures, so treat headline numbers cautiously.
Writing Strength From Self-Ranking Training
- Kimi K2 preserves strong creative writing ability and leveraged self-ranking RL and writing self-play in training.
- That training approach mirrors techniques used for other high-performing models like Claude III Opus.
Agentic Tool Use Is A Strength
- K2 excels at agentic tool use and long tool-call chains, scoring highly on specialized benchmarks like Artificial Analysis.
- Such open-model benchmark leadership is notable but often the open models shine most on select tests.