AI HOT (Curated Pool)May 14, 2026, 09:19 UTC+8

Moonshot AI founder Yang Zhilin releases a 40-minute video

Moonshot AI创始人杨植麟最近放出了一个40分钟视频

Yang Zhilin explains Kimi K2 training in a 40-minute video, saying the model cost $4.6 million and beat GPT-5.5 and other competitors on coding tasks.

Why it matters: HKR-H/K/R all pass: the founder-led Kimi K2 training breakdown adds a $4.6M cost figure and GPT-5.5 coding comparison. Single-source X relay and missing benchmark names keep it in 78-84, not P1.

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Kimi K2 needs a cold read first: $4.6 million training cost plus “beats GPT-5.5” is a perfect distribution hook, not yet a proof point. The snippet gives a 40-minute video, coding tasks, linear attention, and architecture optimization. It does not give the benchmark name, pass@k, inference budget, tool use, temperature, or rerun conditions.

I don’t dismiss Moonshot’s engineering claim. Kimi has earned real mindshare in long-context Chinese workflows. But DeepSeek already trained everyone to distrust the “small budget beats closed flagship” storyline unless the eval survives third-party pressure. For coding, that means SWE-bench-style repo fixes, agentic coding runs, and comparable token budgets. Founder videos are good for narrative; reproducible evals decide whether this is a model event or a very polished launch clip.

Source: AI HOT (Curated Pool) · x.com
Published: May 14, 2026, 09:19 UTC+8 · May 14, 2026