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The author critiques the narrative that workers simply need to upskill in AI, arguing that there aren't enough AI roles for everyone, and calls for a large-scale 'Moonshot' AI project that creates jobs rather than displacing them.
Compares the speed performance of Kimi K2.7 Code HighSpeed (180-260 t/s) and MiMo Ultra-High-Speed (1000+ t/s) on coding tasks, pointing out that MiMo has overwhelming speed and strong quality, suitable for use with Claude Code.
A brief opinion stating that Moonshot and DeepSeek are the top-tier Chinese AI labs, far ahead of others.
Moonshot's open-weight Kimi K2.6 matches Claude Opus 4.6 on key agentic benchmarks while costing significantly less.
Moonshot has open-sourced the Kimi K2.6 model, supporting 4,000 tool calls in a single session and 300 parallel sub-agents, achieving SOTA on benchmarks like SWE-Bench Pro and claiming performance on par with Claude Opus 4.6 and GPT-5.4.