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oakpond

HN member
Joined
Fri, May 02, 2014, 4:33 PM UTC
HN karma
410
Public activity
200 items

About oakpond

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Recent public activity

  1. comment
    Comment #49085064

    >To support further research, we open-source the KDA kernel and vLLM implementations, and release the pre-trained and instruction-tuned model checkpoints. This is just awesome.

  2. comment
  3. comment
    Comment #47648211

    Shouldn't the energy instead be focused on creating a standardized eIDAS driver API that OS vendors are required to implement?

  4. comment
    Comment #47570886

    I notice this kind of "Sent from iPhone"-type spam with other AI tools too. It's awful.

  5. comment
    Comment #47540199

    This is a fp16 model. That's 54G in weights. I can load it only with fp8 quantization enabled (>= 128k context). I run into this error during generation though: https://github.com/…

  6. comment
    Comment #47532621

    Running dual Pro B60 on Debian stable mostly for AI coding. I was initially confused what packages were needed (backports kernel + ubuntu kobuk team ppa worksforme). After getting …

  7. comment
    Comment #47477982

    Working for what? Can you show some complex systems that are built with it? Their site only mentions a kanban board app and a photo album. I can believe it works for that.

  8. comment
    Comment #47451562

    I build with LLMs all the time but I generally don't do vibe coding unless it's something small I don't really care about. When I look at SpecKit, I see a kind of vibe coding fanta…

  9. comment
    Comment #47443702

    In my experience, when you sell expensive complex systems, customers are very worried about any differences in system behavior as a result of software updates. When you implement a…

  10. comment
    Comment #47435475

    I think natural language leaves too much room for ambiguities. If you treat it as code I expect you will run into frequent bugs and unintended side effects of LLM-authored changes …

  11. comment
    Comment #47424034

    Sort of agreed. Natural language specs don't scale. They can't be used to accurately model and verify the behavior of complex systems. But they can be used as a guide to create for…

  12. comment
    Comment #47422828

    probably yes. considering that even some of their non-ocr models can recognize my shitty handwritten math

  13. comment
    Comment #47409405

    It makes sense to me as long as you're not vibe coding the PBTs.

  14. comment
    Comment #47236253

    You do. Even the latest models still frequently write really weird code. The problem is some developers now just submit code for review that they didn't bother to read. You can tel…

  15. comment
    Comment #47110950

    Hardly anything substantial about how well this works in practice. It's a hiring ad.

  16. comment
    Comment #46399082

    > There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions…

  17. comment
    Comment #45897081

    The first two problems can be solved in a straightforward way with more custom exception types. For the "bigger problem", catch(...) can be used to prevent your code from crashing.…

  18. comment
    Comment #45873661

    I recommend trying to implement your own Forth in assembly. It's a great educational experience. However, I would not choose to use it in production. It's not a readable syntax. I …

  19. comment
    Comment #45667380

    I'm on Sway and Debian. Debian has a separate package for KDE Connect: https://packages.debian.org/trixie/kdeconnect

  20. comment
    Comment #45667194

    I've been using KDE Connect without KDE for a while now. Works for me (tm)

  21. comment
    Comment #45077323

    What makes you think they will? What makes you think regulators don't also want this?

  22. comment
    Comment #45074438

    Goodbye Android.

  23. comment
    Comment #44336087

    This simply must happen. I don't think there is another sustainable solution to the network-effect problem.

  24. comment
    Comment #43965802

    You're not the only one. LLMs are hardly intelligent anyway.

  25. comment
    Comment #43502068

    I'm also not bullish on this. In the sense that I don't think LLMs are going to get 10x better, but they are useful for what they can do already. If I see what Copilot suggests mos…