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c0rruptbytes

HN member
Joined
Wed, May 03, 2017, 9:29 PM UTC
HN karma
391
Public activity
67 items

About c0rruptbytes

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Recent public activity

  1. comment
    Comment #49239857

    Reminds me of sandboxy - https://github.com/apple/containerization/tree/main/examples... Also if your thing doesn't work with `pi` out of the box, then low effort

  2. comment
    Comment #49195401

    i would call myself a tinkerer but still don’t have a necessity for 3) it’s more akin to 3d printing to me, i get the design all setup and let the machine do 3) and then get to pla…

  3. comment
    Comment #49164011

    i think i agree, we are going to have /more/ math and now need /more/ mathematicians (we are seeing https://vibemathed.com/ ) these LLMs are great are generating arguments but they…

  4. comment
    Comment #49163962

    https://vibemathed.com/

  5. comment
    Comment #49149532

    i think over time, the bar will rise, you’d have to imagine how low quality the submissions prior to AI would’ve been since most people aren’t that good at decorating nor have the …

  6. comment
    Comment #49146020

    perfect benchmark to burn more tokens - convenient

  7. comment
    Comment #49138576

    Hestan >>>>>

  8. comment
    Comment #49138425

    same, it’s great for first pass LLM docs

  9. comment
    Comment #48942909

    my experience right now with fable via bedrock is they collect data, 5.6 has the option for ZDR at least

  10. comment
    Comment #48942862

    few months behind? 5.6 came out last week and kimi is benching around the same right now

  11. comment
    Comment #48893871

    everyone loving these linux sandboxes, even Apple wrote one https://github.com/apple/containerization/tree/main/examples...

  12. comment
    Comment #48848013

    i think to fall in love with Pi, bundled skills are a bit antithetical - you realistically only need a couple of skills that you maybe design yourself

  13. comment
    Comment #48836158

    inference is profitable, these companies are in the red because they're paying a premium to get the compute now versus later (because compute is the only moat when open models are …

  14. comment
    Comment #48743449

    OpenAI prioritized compute much much earlier on, so they’re probably just more able to provide the model while Anthropic seems to be busting out the seams Sonnet 5 today was incred…

  15. comment
    Comment #48696165

    Deepseek isn't philanthropy, it's a hedgefund trying to short the western AI market by saying "hey we can do 90% of they can (arguably better at a density metric) for a 1/10th of t…

  16. comment
  17. comment
    Comment #48668186

    if they’re paying for the tokens, what’s the problem

  18. comment
    Comment #48634014

    i'm in, i think prices are gonna suck anyway, i own a playstation and that shit sucks, i want to do more couch co-op with my partner and the steam library opens up so much indie ga…

  19. comment
    Comment #48633985

    TV is heavily subsidized from data collection and ads, not sure it's a perfect comparison

  20. comment
    Comment #48623909

    https://blog.kilo.ai/p/did-claude-opus-48-distill-alibabas it happens to all models…when the internet is increasingly generated, things happen

  21. comment
    Comment #48600084

    MCP tool search fixes the major issue imo, MCP clears skills/clis in every other way

  22. comment
    Comment #48560622

    I would try a 6-bit MoE and maybe with unsloth's studio, they claim to have auto tool fixing which is where i see a lot of issues with MoEs I'm on a 48gb M5 Pro right now and it's …

  23. comment
    Comment #48559343

    large contexts degrade the performance - attention doesn't work will for large windows like that and cloud models are kind of hacking it local models do involve some context engine…

  24. comment
    Comment #48559302

    q4 isn't rubbish, but it's a compromise for a good value, q6 is essentially a no-compromise quantization and it's what i recommend for MoEs in my experience for agentic workflows

  25. comment
    Comment #48558630

    I'm talking about the common use case that I think hacker news people have: you get a macbook for work, you run the macbook they're not going to start giving GPUs to employees to r…