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Oct 30
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ModelsBuildersSelected14:19
Qwenputer Embeds a RISC-V CPU Inside Qwen3.5-4B Weights

Encoding a real instruction set inside model weights points to a future where LLMs handle deterministic computation natively instead of routing to a code interpreter, trading speed and memory for reliability. Developers working on agents or tool-free reasoning can try the open-source weights on a single 24GB GPU, though the multi-token-per-instruction design makes it impractical for latency-sensitive use today.

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IT之家Source
Oct 29
ModelsUS vs ChinaSelected01:09
DeepSeek V4.1 Flash tops FrontierCode 2.0 among open-weight models

The v5 rebuild shifts the open-vs-closed frontier gap from 3 points under v4.3 to 12 points, meaning prior open-weight scores may have been inflated by public-question contamination. Practitioners choosing models for real coding work should look at FrontierCode 2.0's merge-based scoring, which measures restraint, style fit and regression risk rather than passable code. Kimi K3.1 Pro nominally leads open-weight models at 46 overall, but its weights only ship by 4 Nov 2026.

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