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1.
Compute-efficient pretraining and scaling to trillion-parameter models (news.ycombinator.com)
2.
Kimi K2.7 Code is generally available in GitHub Copilot (news.ycombinator.com)
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Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out (venturebeat.com)
4.
768GB of cheap Intel Optane DIMM memory sticks used to run 1-trillion-parameter LLM on a system with a single GPU — local Kimi K2.5 install achieved roughly 4 tokens per second (tomshardware.com)
5.
China’s Moonshot AI raises $2B at $20B valuation as demand for open source AI skyrockets (techcrunch.com)
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China’s Moonshot AI raises $2B at $20B valuation as demand for open-source AI skyrockets (techcrunch.com)
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Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge (news.ycombinator.com)
8.
Kimi K2.6 runs agents for days — and exposes the limits of enterprise orchestration (venturebeat.com)
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Moonshot AI's new Kimi K2.6 swarms your complex tasks with 1,000 collaborating agents (zdnet.com)
10.
Kimi vendor verifier – verify accuracy of inference providers (news.ycombinator.com)
11.
Kimi K2.6: Advancing Open-Source Coding (news.ycombinator.com)
12.
Cursor's Composer 2 was secretly built on a Chinese AI model — and it exposes a deeper problem with Western open-source AI (venturebeat.com)
13.
Open Weights isn't Open Training (news.ycombinator.com)
14.
Open Weights Isn't Open Training (news.ycombinator.com)
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