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Cloudflare says its new Clef model means humans no longer need to be in the loop for AI agents

With Clef and Clef-flash, Cloudflare is challenging TypeSafe AI's Jev decision model. Clef-flash delivers classifications in about 39 milliseconds, making it more than ten times faster than Jev. Both models are built on Qwen, licensed under Apache 2.0, and designed to let AI agents make structured…

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  1. 2026-10-02 18:19 · The Decoder
    Cloudflare says its new Clef model means humans no longer need to be in the loop for AI agents

More stories

  1. add GLM-5.3-Flash (GLM5-Next) support by timkhronos · Pull Request #27773 · ggml-org/llama.cpp — r/LocalLLaMA
  2. I benchmarked Jev 1.13 against 4 local LLMs on RTX5070 12GB - amazing. — r/singularity
  3. Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune) — r/LocalLLM
  4. Cloudflare Releases Clef and Clef-flash: Open-Weight Decision Models That Return Typed Probabilities Instead of Text — MarkTechPost
  5. I rebuilt a Jev-style classifier on Qwen3.5-4B: shared-prefix tree, open weights, fine-tunable, ~140 ms on one H100 — r/learnmachinelearning
  6. Benchmarks: Best engine for Qwen 3.8-Flash-Next on Strix Halo — r/LocalLLM
  7. Amazon releases its own Jev clone as decision models flood the web — TechCrunch AI
  8. I made my iPhone a second GPU for my 24 GB MacBook: Qwen 3.8 27B prefills 29–44% faster & my holds part of the CTX window. — r/LocalLLaMA

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