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iaiuse

HN member
Joined
Wed, Aug 06, 2025, 12:55 PM UTC
HN karma
1
Public activity
8 items

About iaiuse

Bilingual AI blogger & ex-IBM BA. Writing daily about LLM cost economics, prompt engineering, and AI adoption in Asia. Blog: https://iaiuse.com/en Twitter: @iaiuse | Email: youtube (at) iaiuse (dot) com

Recent public activity

  1. comment
    Comment #46442244

    Author here Happy to answer questions about the workflow, trade-offs, and where this breaks down. This is very much an ongoing experiment, so I’m especially interested in what does…

  2. story
    Show HN: VividManga – AI-based manga coloring focused on line art consistency

    Show HN: VividManga – AI-based manga coloring focused on line art consistency Hi HN, I built VividManga because most general image colorization models perform poorly on manga-style…

  3. comment
    Comment #45690841

    BruceWok, thank you so much for this thoughtful feedback! These are exactly the kind of questions that push me to make the product better. Let me address each of your points: *1. A…

  4. story
    Show HN: MyRise Coach – AI-powered growth platform with 8 proven methodologies

    Hi HN! I'm iaiuse, and I've been working on MyRise Coach for the past few months. It's an AI-powered personal growth platform that combines 8 proven methodologies (resilience, cogn…

  5. comment
    Comment #44820099

    You’re raising a very important concern — the slow disappearance of human-curated knowledge niches. While AI can summarize the obvious and the popular, it struggles to preserve the…

  6. comment
    Comment #44811582

    Correct—they don’t “know” in the epistemic sense, but they do encode a latent world model that shows up as useful priors. Put differently: GPT-4 isn’t a knowledge base, it’s a *Bay…

  7. comment
    Comment #44811563

    LLMs will mediate plenty of routine text, but the choke-point shifts from “writing” to “prompting + validating”. In client projects we see two hard costs pop up: 1. Human review ti…

  8. comment
    Comment #44811518

    MIT isn’t “weak” because it allows LLM training; it’s weak because it puts zero obligations on the recipient. Blocking “LLM training” in a license feels satisfying, but I’ve run in…