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  • Hacker News
  • This gives me Devs vibe (2020 TV Series) - https://www.indiewire.com/awards/industry/devs-cinematograph...
    by Void_
  • I listened to the Hinton podcast few days ago, he mentioned (IIRC) that "analog" AIs are bad because the models can not be transfered/duplicated in a lossless way, like in .gguf format, every analog system is built differently you have to re-learn/re-train again somehow

    Does TSUs have to same issue?

    by est
  • there is also Normal Computing[0] that are trying different approaches to chips like that. Anyway these are very difficult problems and Extropic already abandoned some of their initial claims about superconductors to pivot to more classical CMOS circuits[1]

    [0]: https://www.normalcomputing.com

    [1]: https://www.zach.be/p/making-unconventional-computing-practi...

    by quantumHazer
  • I’ve been wondering how long it would take for someone to try probabilistic computing for AI workloads - the imprecision inherent in the workload makes it ideally suited for AI matrix math with a significant power reduction. My professor in university was researching this space and it seemed very interesting. I never thought it could supplant CPUs necessarily but certainly massive computer applications that don’t require precise math like 3D rendering (and now AI) always seemed like a natural fit.
    by vlovich123
  • This seems to be the page that describes the low level details of what the hardware aims to do. https://extropic.ai/writing/tsu-101-an-entirely-new-type-of-...

    To me, the biggest limitation is that you’d need an entirely new stack to support a new paradigm. It doesn’t seem compatible with using existing pretrained models. There’s plenty of ways to have much more efficient paradigms of computation, but it’ll be a long while before any are mature enough to show substantial value.

    by alyxya
  • I don't really understand the purpose of hyping up a launch announcement and then not making any effort whatsoever to make the progress comprehensible to anyone without advanced expertise in the field.
    by nfw2
  • If you want to understand exactly what we are building, read our blogs and then our paper

    https://extropic.ai/writing https://arxiv.org/abs/2510.23972

    by trevor_extropic
  • It is a hardware RNG they are building. The claim is that their solution is going to be more computationally efficient for a narrow class of problems (de-noising step for diffusion AI models) vs current state of the art. Maybe.

    This is what they are trying to create, more specifically:

    https://pubs.aip.org/aip/apl/article/119/15/150503/40486/Pro...

    by d_silin

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