Live data from Hacker News

Viewing profile — dilap

dilap

HN member
Joined
Wed, Aug 15, 2007, 7:58 PM UTC
HN karma
8,787
Public activity
2,199 items

About dilap

lucky number (lambda f: f(f))(lambda y: lambda f: f(lambda n: y(y)(f)(n)))(lambda f: lambda n: f(n-1) + f(n-2) if n > 2 else 1)(7)

Recent public activity

  1. comment
    Comment #49196847

    Years and years ago I saw this story on k5 when it came out and never read it -- but from commentary I always thought was some sort of hard sci-fi exploration of what happens when …

  2. comment
    Comment #49196616

    It's exactly because everyone's tone is different that I'm confident it's AI. Granted, a bit of AI-influencing phrasing in human writing is common, but the idea that someone sat do…

  3. comment
    Comment #49190475

    You're too kind. It's obviously AI copy, and a huge negative signal (to me, anyway).

  4. comment
    Comment #48993468

    Don't worry, we'll get there soon enough.

  5. comment
    Comment #48466122

    Have you tried iterating on style feedback in AGENTS.md? I've been reasonably successful using this to get it to output code in a terse, non-defensive style that matches my hand-wr…

  6. comment
    Comment #48448456

    Reload should fix (did for me).

  7. comment
    Comment #48322991

    Doesn't look minified, just very dense, almost like progcomp code. First time I've seen an LLM spit out that style of code, I'm impressed!

  8. comment
    Comment #48279811

    It's just Claudeslop. It's everywhere. An epidemic. If you're familiar it stands out instantly. (Would you let someone else talk for you? In real life? Like open up your mouth and …

  9. comment
    Comment #48236496

    Why Codex GPT-5.5 High instead of Extra High, I wonder?

  10. comment
    Comment #48217802

    Yeah, it has a tendency to default to "smallest local hack that will work" and code as defensively as possible. BUT I have had great success using AGENTS.md and becoming better at …

  11. comment
    Comment #48214684

    Personally I don't find this to be true anymore! It's not always great and does still will often tend towards unneeded complexity (especially if not pushed a bit), but I often find…

  12. comment
    Comment #48144478

    way easier to work on a focussed c codebase you own than a mature unwieldy c++ codebase you don't. but it's fine, people will take that work and port to llamacpp and everyone wins.…

  13. comment
    Comment #47796745

    FWIW, I've found Codex with GPT-5.4 to be better than Opus-4.6; I would say it's at least worth checking out for your use case.

  14. comment
    Comment #47693831

    Deepseek R1 was a publically-available, MoE model that was getting a ton of attention before llama4. Llama4 didn't get much attention because it wasn't good.

  15. comment
    Comment #47547413

    i use a an auto-layout tool, so having windows stacked on top of each other is super-common for me, and the fact that they all peak thru each other (like the screenshot in the blog…

  16. comment
    Comment #47506923

    I wish I could remember the details -- I know I got annoyed with things being slow and when I got a new computer decided to go the no-homebrew route. I'm using nix, and it seems fi…

  17. comment
    Comment #47503214

    Horses for courses, but I've stopped using brew 'cuz it's too slow, so this might bring me back! Edit: no, it won't...

  18. comment
    Comment #47284738

    I thought this was parody until the last sentence.

  19. comment
    Comment #47276452

    I still remember the very first time I saw an emoji -- just an old-school dumb phone, and my friend sent me a message with an emoji, which the phone, amazingly, was able to display…

  20. comment
    Comment #47262760

    Welllll I'm not so sure that phrase is well-suited for your intended meaning, then. (Also, tangentially, I think could argue thinking models w/ the elided thought prelude satisfy "…

  21. comment
    Comment #47262705

    Ha, thanks!

  22. comment
    Comment #47237047

    I don't know for a fact, but I'd bet a few digits of cold hard cash it's a SwiftUI rewrite that is to blame. (Any1 in the know want to chime in?) And yeah, it's terrible. Apple doe…

  23. comment
    Comment #47235903

    The fundamental nature of the model is that it consumes tokens as input and produces token probabilities as output, but there's nothing inherently "predictive" about it -- that's j…

  24. comment
    Comment #47233576

    That description is really only fair for base models†. Something like Opus 4.6 has all kinds of other training on top of that which teach it behaviors beyond "predict most probable…

  25. comment
    Comment #47203164

    MIT ( https://gist.github.com/karpathy/8627fe009c40f57531cb1836010... )