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wren6991

HN member
Joined
Tue, Jun 04, 2024, 10:30 PM UTC
HN karma
303
Public activity
136 items

About wren6991

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Recent public activity

  1. comment
    Comment #49174820

    I'm fine with a 1k-line function if you just have that many things to do in a row without taking a breath. Breaking it up into smaller functions feels neater when you write it, but…

  2. comment
    Comment #49174235

    Sorry if the joke didn't land; I have heard a lot of different numbers for the size of US labs' models, but never seen any of them substantiated, so I think you're likely to just g…

  3. comment
    Comment #49174147

    In this situation it's completely moral to go pirate the games on a different platform. Illegal, but moral

  4. comment
    Comment #49174105

    I'll ask my uncle (he works for Nintendo) and get back to you on that one

  5. comment
    Comment #49169038

    Kimi-K3: 2.8T Qwen3.8-Max: 2.4T DeepSeek V4 Pro: 1.6T DeepSeek V4 Flash: 284B (all are total parameter counts, not active parameters)

  6. comment
    Comment #49163162

    "Now I have the full picture. Let me just undo that last change." $ git checkout . "Oh no, that undid everything."

  7. comment
    Comment #49163115

    Another banger from the mind that brought us Beads, the solution to having your repositories littered with Markdown files, written in a svelte 250,000 lines of Go. What's that? The…

  8. comment
    Comment #49148326

    I guess they are saying sizeof(...) should return the annotated static size rather than sizeof(int*) in this case

  9. comment
    Comment #49148286

    Opus 5 clearly frogmaxxed. gemini-3.6-flash runs 2 and 3 responded best to the royal portrait context.

  10. comment
    Comment #49145142

    > (everything here also applies to c2y's newly introduced _Countof) Stop the press, they're adding what ? So I don't have to keep adding #define count_of(arr) (sizeof(arr) / sizeof…

  11. comment
    Comment #49125438

    Trying OpenRouter gave me a strong impression that LLMs are already a commodity and individual providers are not that important. Providers don't seem to be too happy about it.

  12. comment
    Comment #49124852

    As a frog I'm happy to report the water is comfortably warm today, the same as it was yesterday.

  13. comment
    Comment #49123080

    Huh, so every interactive event has a network request in the loop, with perceptible latency? And you still end up obligating client-side JS for the plumbing? I'd been meaning to lo…

  14. comment
    Comment #49107290

    I don't think so. Probability of what? If you put something through a softmax the output is (trivially) a valid PMF. Does that matter? You're not sampling from it.

  15. comment
    Comment #49104325

    The worst part of this workflow is when you accidentally run `git commit -am` at the end and destroy all of your careful staging.

  16. comment
    Comment #49102875

    This seems functionally similar to OpenAI having a step in pricing once you exceed a certain context length (also at 272k aka 2^18 aka 256k). Having a lot of active context increas…

  17. comment
    Comment #49102832

    I'd guess because it costs them nothing and it gives you a smoother transition back towards paying for their products.

  18. comment
    Comment #49102631

    Ooh. This looks like an interesting paper and there were a couple of things in the intro that I found counter-intuitive. It'll take me a while to digest the whole thing. > Coverage…

  19. comment
    Comment #49102067

    That's true. The fact that an LLM is a pure function of (all previous tokens) -> (next token), with internal state like KV cache only existing for optimisation purposes, is pretty …

  20. comment
    Comment #49101811

    The "next-token predictor" framing is also a bit shaky. It's an accurate description of pre-training, where next-token prediction is a useful learning objective to force the model …

  21. comment
    Comment #49087983

    Sounds a lot like running the Qwen3.5/3.6-series models at home: you need checkpoints for the recurrent state (GDN in the case of Qwen). You avoid the miss for the common case of 1…

  22. comment
    Comment #49077133

    > Anthropic has never advocated for a ban on open-weights models. What are the legal ramifications of this statement if it turns out Anthropic have lobbied for this? Does it just g…

  23. comment
    Comment #49072258

    Older models did show the full unredacted thinking trace, but I don't think Opus has ever shown full CoT. Here is an archived version of Anthropic's API docs saying that Sonnet 3.7…

  24. comment
    Comment #49070696

    The main source I'm aware of is this Reuters article: https://www.reuters.com/world/beijing-is-looking-curbing-ove... However you should take it with a pinch of salt because IMO th…

  25. comment
    Comment #49052004

    I think the type of persistence rewarded by benchmarks may be misaligned with instruction following