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a_wild_dandan

HN member
Joined
Fri, May 11, 2018, 6:01 PM UTC
HN karma
2,420
Public activity
619 items

About a_wild_dandan

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Recent public activity

  1. comment
    Comment #48966213

    Wow, you weren't kidding. I looked at their chart, and the cost-per-task for Fable is more than double Sol's. And DeepSeek absolutely stomps. Four cents per-task vs Sol's $1 and Fa…

  2. comment
    Comment #48916360

    solve p=np make no mistakes

  3. comment
    Comment #48727749

    Backward compatibility with current meatspace tooling.

  4. comment
    Comment #47064728

    You’re not stupid. That’s terrible UX. The button is completely disconnected from its modal, and is placed in a bizarre/nonstandard location.

  5. comment
    Comment #46877443

    Speaking of tricks, does anyone here know how many angels can dance on the head of a pin?

  6. comment
    Comment #46322174

    Taiwan’s geopolitical position is vastly more complex than the fantasy where invasion would follow merely from fab parity.

  7. comment
    Comment #46235954

    > Unlike the previous GPT-5.1 model, GPT-5.2 has new features for managing what the model "knows" and "remembers to improve accuracy. Dumb nit, but why not put your own press relea…

  8. comment
    Comment #46209032

    Businesses do whatever’s cheap. AI labs will continue making their models smarter, more persuasive. Maybe the SWE profession will thrive/transform/get massacred. We don’t know.

  9. comment
    Comment #46206888

    No. I like being able to ignore them. I can’t do that if people chop off their disclaimers to avoid comment removal.

  10. comment
    Comment #46206347

    Someone will make a killing on a rechargeable version of this. The ergonomics are a good idea.

  11. comment
    Comment #46177279

    If the claims in the abstract are true, then this is legitimately revolutionary. I don’t believe it. There are probably some major constraints/caveats that keep these results from …

  12. comment
    Comment #45829541

    His specific thesis is that pods fundamentally clean worse than powder because they're inherently single-stage releases of detergent in machines designed for two-stage releases. De…

  13. comment
    Comment #45702788

    How does having management strategies over an alleged addiction imply that it isn’t an addiction?

  14. comment
    Comment #45510292

    Intelligence is whatever an LLM can’t do yet. Fluid intelligence is the capacity to quickly move goal posts.

  15. comment
    Comment #45486970

    I would bet that it's far lower now. Inference is expensive we've made extraordinary efficiency gains through techniques like distillation. That said, GPT-5 is a reasoning model, a…

  16. comment
    Comment #45485179

    This might be a dumb question but like...why does it matter? Are other companies reporting training run costs including amortized equipment/labor/research/etc expenditures? If so, …

  17. comment
    Comment #45460541

    Thank you for explaining. I was so confused at how AMD was improving Quake performance with duck-like monikers.

  18. comment
    Comment #45451514

    You're right! China is presently terrified of involution. They're dealing with wage deflation and immense debt right now. Beijing is telling its companies to scale back subsidies a…

  19. comment
    Comment #45441285

    Is it possible to run Cursor entirely with local models? My Mac can comfortably run relatively massive models. I would experiment so much more with AI in my codebases knowing that …

  20. comment
    Comment #45184702

    That's absolutely wild. I've been loving using the 96GB of (V)RAM in my MacBook + Apple's mlx framework to run quantized AI reasoning models like glm-4.5-air. Running models with h…

  21. comment
    Comment #45060639

    > What am I doing wrong? Providing a woefully inadequate descriptions to others (Claude & us) and still expecting useful responses?

  22. comment
    Comment #44801926

    GLM-4.5-air produces tokens far faster than I can read on my MacBook. That's plenty fast enough for me, but YMMV.

  23. comment
    Comment #44801880

    Oh absolutely, AI labs certainly talk their books, including any safety angles. The controversy/outrage extended far beyond those incentivized companies too. Many people had good f…

  24. comment
    Comment #44801383

    I'll accept Meta's frontier AI demise if they're in their current position a year from now. People killed Google prematurely too (remember Bard?), because we severely underestimate…

  25. comment
    Comment #44801170

    Right? I still remember the safety outrage of releasing Llama. Now? My 96 GB of (V)RAM MacBook will be running a 120B parameter frontier lab model. So excited to get my hands on th…