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monoid73

HN member
Joined
Wed, Apr 09, 2025, 1:33 PM UTC
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Public activity
10 items

About monoid73

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Recent public activity

  1. comment
    Comment #44828128

    for the hybrid workflows, curious how do you decide which parts need AI reasoning vs can be hardcoded? is it adaptive or manual config?

  2. story
    Show HN: Open Operator Evals – real-world benchmarks for LLM web agents

    We’ve open-sourced a benchmark for LLM-driven web agent setups. It evaluates real-world tasks, like logging in, scraping dashboards, and submitting forms, using structured criteria…

  3. comment
    Comment #43929546

    Another one? People saw that 3B windsurf money.

  4. comment
    Comment #43811168

    think the visa hurdle is the big one. even if you have a strong background, a lot of companies hesitate unless they already have an immigration pipeline set up. another angle could…

  5. comment
    Comment #43787588

    I think the UX of chatgpt works because it's familiar, not because it's good. Lowers friction for new users but doesn't scale well for more complex workflows. if you're building an…

  6. comment
    Comment #43787567

    funny enough, i started noticing em dashes mostly through using GPT. wasn’t really part of my writing before, but now i find them super useful for managing rhythm and flow. definit…

  7. comment
    Comment #43776331

    this is one of the more compelling "LLM meets real-world tool" use cases i've seen. openSCAD makes a great testbed since it's text-based and deterministic, but i wonder what the li…

  8. comment
    Comment #43766179

    exactly. hindsight bias makes it really hard to separate genuine inference from subtle prompt leakage. even framing the question can accidentally steer it toward the right answer. …

  9. comment
    Comment #43766101

    same here. brew’s been great historically but it’s gotten bloated and kinda slow. curious to see if sapphire can keep things lean without sacrificing compatibility.

  10. comment
    Comment #43757145

    yeah, that'd b nice, some kind of self-bootstrapping system where you start with a strong cloud model, then fine-tune a smaller local one over time until it’s good enough to take o…