Kimi K3 47-page technical report reveals Moonshot AI setting problems rather than following solutions. The thesis: two AI scaling axes exist. Pre-deployment compute for larger models, and post-deployment compute for inference. Open-source excels on the second but stagnates on the first with most models at 1T. K3 pushes both axes, reaching 2.78T total with 104.2B active per token, more than doubling DeepSeek V4 Pro.K3 adopts DeepSeek innovations …
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