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Crypto bros claim that crypto is super useful, revolutionary tech too. The proof is in the pudding, and AI has yet to show any real utility.

by bigstrat2003 3mo ago

dools 3mo ago
> and AI has yet to show any real utility Ummm ... have you not tried using LLMs for coding work?
- VorpalWay 3mo ago
  Not OP, but I have, and I'm not impressed. Perhaps it would be good if you are doing things in the training data (like churning out yet another bland website). But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. They are great for finding the right ffmpg command line arguments though, and not having to deal with that mess must count for something.
  - simonw 3mo ago
    > But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. Have you tried since November 2025?
    - what 3mo ago
      >have you tried since $date You guys have been saying that every few months.
      - simonw 3mo ago
        And you guys have been consistently replying with that exact same comment.
        dools 3mo ago
        Have you been consistently replying with the same answer to that comment? Or have you genuinely tried using coding agents?
        what 3mo ago
        Maybe because not everyone works on trivial shit and it still doesn’t work for them?
        simondotau 3mo ago
        Does the Linux kernel qualify as trivial shit?
    - ofjcihen 3mo ago
      They did get better around that time but there are some things that they are legitimately bad at for now.
  - empty_set35204 3mo ago
    For what it's worth, engineers at proprietary trading firms are finding that they can get substantial productivity boosts by using LLMs and it'd be hard to find a domain that's less represented in the training data. Does definitely require more steering than if you're churning out slop apps/websites though.
  - dools 3mo ago
    I've built 4 pretty novel features where the LLM didn't know how to solve the problem, but with design/decision input from me was able to implement it. Between the two of us it was done, I would estimate, 10 - 20 times faster in terms of man hours than the same implementation would have taken without the use of LLMs. Like it's team level productivity from a single developer. In my case it was done infinity times faster because I just wouldn't have done these things, it would have been cost-prohibitive.

Crypto bros claim that crypto is super useful, revolutionary tech too. The proof is in the pudding, and AI has yet to show any real utility.

dools 3mo ago

> and AI has yet to show any real utility Ummm ... have you not tried using LLMs for coding work?

VorpalWay 3mo ago
Not OP, but I have, and I'm not impressed. Perhaps it would be good if you are doing things in the training data (like churning out yet another bland website). But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. They are great for finding the right ffmpg command line arguments though, and not having to deal with that mess must count for something.
- simonw 3mo ago
  > But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. Have you tried since November 2025?
  - what 3mo ago
    >have you tried since $date You guys have been saying that every few months.
    - simonw 3mo ago
      And you guys have been consistently replying with that exact same comment.
      - dools 3mo ago
        Have you been consistently replying with the same answer to that comment? Or have you genuinely tried using coding agents?
      - what 3mo ago
        Maybe because not everyone works on trivial shit and it still doesn’t work for them?
        simondotau 3mo ago
        Does the Linux kernel qualify as trivial shit?
  - ofjcihen 3mo ago
    They did get better around that time but there are some things that they are legitimately bad at for now.
- empty_set35204 3mo ago
  For what it's worth, engineers at proprietary trading firms are finding that they can get substantial productivity boosts by using LLMs and it'd be hard to find a domain that's less represented in the training data. Does definitely require more steering than if you're churning out slop apps/websites though.
- dools 3mo ago
  I've built 4 pretty novel features where the LLM didn't know how to solve the problem, but with design/decision input from me was able to implement it. Between the two of us it was done, I would estimate, 10 - 20 times faster in terms of man hours than the same implementation would have taken without the use of LLMs. Like it's team level productivity from a single developer. In my case it was done infinity times faster because I just wouldn't have done these things, it would have been cost-prohibitive.