iaiuse

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by iaiuse 9mo ago
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 doesn’t work well for you.
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Show HN: VividManga – AI-based manga coloring focused on line art consistency(vividmanga.com)
2 points by iaiuse 9mo ago|1 comments
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by iaiuse 11mo ago
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. AI consistency across long conversations:* Great question. Cu
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Show HN: MyRise Coach – AI-powered growth platform with 8 proven methodologies(myrisecoach.com)
1 points by iaiuse 11mo ago|2 comments
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by iaiuse 1y ago
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 quirky, community-driven, and idiosyncratic corners of the
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by iaiuse 1y ago
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 *Bayesian autocomplete* over dense vectors. That’s why it can dr
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by iaiuse 1y ago
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 time ⟶ still 2–4 min per 1 k tokens because hallucination isn’
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by iaiuse 1y ago
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 into three practical issues while benchmarking models for clie