• More of a meta comment, but I really wish anthropic would say something about their plans for Fable. We're all just kind of left here floating and aimless, with no idea of what to expect
    • They're kind of at the mercy of the US government on this, and the government seems to have them in the position you describe.
      • Agreed, though it sounds like they could add KYC stuff and restore access for US citizens. I utterly hate that we're at that point and I think it's ludicrous for privacy and just common sense, but it would be nice to know if that's their plan or not for example. Or if their plan is to just wait for the government to decide on something, or if they're planning to sue, or whatever.
      • It's so great that the US is against AI regulation and gives corporations freedom to innovate /s
    • some of us knew the cloud was unreliable and chose a better path.
    • The US Government has demanded a solution to the Halting Problem squared and by George (Washington) these tinpot facsists are going to get what they demand.

      Hard to imagine where things go from here. GLM-5.3 will be released some day, with Fable class capabilities, and the (MAGA) US government will still be faffing around in their alt-reality cinematic bullshitiverse.

  • It's not immediately clear, but this seems to be 250 tok/s on an M4 Max.

    For comparison, the current agent swarm challenge on HF is at 508 tok/s on a A10G GPU:

    https://huggingface.co/spaces/gemma-challenge/gemma-dashboar...

  • That's very impressive. What's the best way to run these kernels natively on a Mac? I saw that there's a way to plug Claude into Apple's Foundation Models framework, and there's a CLI tool that can access models via that framework. It might be useful to have something so fast and good available via a small CLI tool for various purposes, especially when connected with a small suite of tools I have for things like file editing, showing, simple agentic purposes etc.
    • Either ollama or omlx, both are pretty dang performant. Omlx lets you run Claude code locally though as long as you bootstrap it with the right model
      • Why would you need Omlx? For speed up?
        • Has extra KV cache on SSD, and lots more options to tweak. There's experimental TurboQuant and multi token prediction support.
  • > It climbed to 84 tok/s, then hit a wall, insisting further optimization was impossible.

    > Hours later, Anthropic rolled back invisible LLM development safeguards, and it hit 255 tok/s.

    Wow. Limitnig access to models for other reasons than that you can't physically provide it should be a crime against humanity or the planet or something. So much immediate efficency left on the table for stupid reasons.

  • I miss Fable. It worked so well -- it was so confident and would actually make decisions on its own that I agreed with -- Opus 4.8 feels so dumb now.