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popinman322

HN member
Joined
Fri, May 29, 2015, 6:06 PM UTC
HN karma
593
Public activity
177 items

About popinman322

Software Dev. Interested in UX, reliability, and performance as paths to user adoption.

Recent public activity

  1. comment
    Comment #49035509

    With RAM prices how they are right now the used laptops might be more valuable than $1500.

  2. comment
    Comment #48239721

    Very much agree. Until the vibe-coded version has been fully audited and profiled to perform, within reasonable tolerances, as well as the original code base, it feels like a bad i…

  3. comment
    Comment #48226109

    Oh, this is great! I've filed bugs with JetBrains before and had them take months getting to my ticket, often with multiple hand-offs between team members; being able to provide a …

  4. comment
    Comment #47619744

    Does anyone know whether we'll be receiving transcoders for this batch of models? We got them for Gemma 3, but maybe that was a one-off.

  5. comment
    Comment #46889729

    I've found that Gemini models often produce pseudocode that seems good at first glance but is typically wrong or incomplete, especially for larger or more complex functions. It mig…

  6. comment
    Comment #46227755

    It doesn't look like the code anonymizes usernames when sending the thread for grading. This likely induces bias in the grades based on past/current prevailing opinions of certain …

  7. comment
    Comment #46122669

    They're comparing against open weights models that are roughly a month away from the frontier. Likely there's an implicit open-weights political stance here. There are also plenty …

  8. comment
    Comment #43597835

    You can swap experts in and out of VRAM, it just increases inference time substantially. Depending on the routing function you can figure out all the active experts ahead of the fo…

  9. comment
    Comment #42925700

    The executive branch is currently ignoring the law. Why would they start following it in 2029?

  10. comment
    Comment #42825490

    Not a fan of censorship here, but Chinese models are (subjectively) less propagandized than US models. If you ask US models about China, for instance, they'll tend towards the anta…

  11. comment
    Comment #42825406

    Assuming you're doing local inference, have you tried setting a token filter on the model?

  12. comment
    Comment #42825375

    DeepSeek was built on the foundations of public research, a major part of which is the Llama family of models. Prior to Llama open weights LLMs were considerably less performant; w…

  13. comment
    Comment #42741923

    It's always very interesting to see people pull out threads with low like counts (like 12k) and claim that central idea of the post is widely held. We're talking about platforms wi…

  14. comment
    Comment #42695511

    The LSP is limited in scope and doesn't provide access to things like the AST (which can vary by language). If you want to navigate by symbols, that can be done. If you want to kno…

  15. comment
    Comment #42437475

    Google Trends make it seem like we're out of the exponential growth phase for LLMs-- search interest is possibly plateauing. A decline in search interest outside of academia makes …

  16. comment
    Comment #42313840

    Try LiteLLM; their core LLM proxy is open source. As an added bonus it also supports other major providers.

  17. comment
    Comment #41552976

    Huge +1. If I'd understood this mantra earlier in my career it would have saved me a large amount of hassle. For juniors: any time you send something important to your manager, con…

  18. comment
    Comment #41432658

    Grep is also useful when IDE indexing isn't feasible for the entire project. At past employers I worked in monorepos where the sheer size of the index caused multiple seconds of de…

  19. comment
    Comment #41290747

    It's possible to get stuck in merge hell where all your reviewers ok the PR but someone merged a conflict 2 seconds ago, or you've got a reviewer in Singapore while you're in SF an…

  20. comment
    Comment #41218542

    This is where supporting machinery & RAG are very useful. You can auto- lint and test code before you set eyes on it, then re-run the prompt with either more context or an altered …

  21. comment
    Comment #40245340

    Tangent here: really? I've found base Whisper has concerning error rates for non-US English accents; I imagine the same is true for other languages with a large regional mode to th…

  22. comment
    Comment #40219610

    Also, similar to Orca-Math but without a teacher model. They also followed an iterative DPO/KTO scheme, but with no length normalized NLL loss term.

  23. comment
    Comment #40196704

    I remember stumbling upon an early discussion about this [0] a bit ago in the EleutherAI discord when searching for discussion about a paper; I'm glad to see it's turned into somet…

  24. comment
    Comment #40083318

    Any news on when Unsloth's parallel full tuning will be available?

  25. comment
    Comment #39657619

    You could likely also combine the LLM with a coverage tool to provide additional guidance when regenerating the fuzzer: "Your fuzzer missed lines XX-YY in the code. Explain why you…