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sroerick

HN member
Joined
Sun, Oct 21, 2007, 5:51 PM UTC
HN karma
1,043
Public activity
651 items

About sroerick

email: sweeney@roerick.me

Recent public activity

  1. comment
    Comment #49223844

    It would be extremely interesting to me if the usgov produces a model which honors copyright and is also useful. This would give them extreme leverage over the labs, who may be vio…

  2. comment
    Comment #49206813

    They are both the differentiator. AI previously provided speed but not quality. As soon as quality reached an acceptable threshold, the speed became the reigning factor. In my opin…

  3. comment
    Comment #49200835

    Solution is simple, run slower!

  4. comment
    Comment #49189178

    Even if you're sour on American exceptionalism, this seems like a valid and good product to me, both from a privacy standpoint and from an ethical labor standpoint? Am I the only o…

  5. comment
    Comment #49185014

    My approach has been an interpreted Lisp running on a web server backend and it basically does everything described here

  6. comment
    Comment #49179174

    Pi and XMPP is excellent

  7. comment
    Comment #49172864

    I stuck a lisp interpreter inside a web server and its a pretty cool pattern. I do have a basic harness but I'm still kind of just using the REPL from an external agent over REST, …

  8. comment
    Comment #49172838

    I'm curious to learn more about your experiences here, what you've learned, if you've enjoyed using the REPL with agents

  9. comment
    Comment #49167972

    Isn't React specifically an attempt to build an immediate mode UI on top of the DOM?

  10. comment
    Comment #49167954

    Isn't that literally React? I find it so immeasurably funny that in his effort to simplify code and invent immediate mode UI, Casey Muratori accidentally invented React

  11. comment
    Comment #49159865

    My understanding is that js_of_ocaml has been around longer and likely has a stronger ecosystem, but Melange was designed more specifically to play nice with the JS ecosystem.

  12. comment
    Comment #49150945

    I honestly don't really get MCPs. They're like all the bad design choices of LSP multiplied by 5

  13. comment
    Comment #49145526

    So I'm very seriously considering making my language indentation based. You're saying you wouldn't like that?

  14. comment
    Comment #49126461

    They definitely are - but also people are using them pretty extensively for work. So ultimately you can't really fake "is it good". But there's no real measurements of that when a …

  15. comment
    Comment #49114230

    I can't really understand what this dude says but it sounds like he called Open AI and Anthropic a bunch of commies and said they're going to war for Enterprise AI

  16. story
  17. comment
    Comment #49088009

    I'm going pretty deep on Lisp on accident - can anybody give me more context on this?

  18. comment
  19. comment
    Comment #49064223

    lol you're talking to the guy who coded it

  20. comment
    Comment #49064213

    Crazy how much things have shifted since a few years ago

  21. comment
    Comment #49062575

    Sir, it's 3X cheaper on coding. 3X cheaper in any industry is earth shattering. 10% is significant. 3X is really big.

  22. comment
    Comment #49062544

    Okay, I think that's fair, but I'm not convinced there's anybody actually doing large amounts of compute on office tasks? Do you know anybody? Can you point to anybody publicly doc…

  23. comment
    Comment #49062016

    I find them to be about comparable, but I use them both for coding tasks and I'm happy with each. I like K3

  24. comment
    Comment #49062003

    I was actually shocked to see that much improvement on GLM 5.2. I am getting pretty great rates in GLM5.2 right now and I'm extremely happy with the output. I have found Kimi to be…

  25. comment
    Comment #49061920

    Not to mention - If you switch the view to "coding tasks" on this website: Kimi K3: $3.18 per task GLM 5.2: $6.51 per task GPT 5.6 Sol: $7.02 per task Opus 5: 8.23 per task Fable: …