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epitrochoid413

HN member
Joined
Mon, Mar 30, 2026, 2:13 PM UTC
HN karma
50
Public activity
18 items

About epitrochoid413

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Recent public activity

  1. comment
    Comment #48966571

    Yes I agree with you here. LLMs tend to be a bit random, but are still more consistent and predictable than slot-machines. Also, gambling tends to exert lower effort and higher dop…

  2. comment
    Comment #48352744

    That’s a fair concern. It’s a hybrid system, so dictionaries and rules handle the high-confidence cases, and the context model handles selected ambiguous words. 今日 is extremely com…

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    Comment #48326626

    Thanks, this kind of report is very useful. 如何 is context-dependent, and I hadn’t come across this case yet. I’ll add it to the model soon. Really appreciate the report and the kin…

  5. comment
    Comment #48325320

    Thank you this is very helpful, especially from a native speaker. 今日 is a tradeoff I made intentionally: I disabled the fallback model for it because most cases are きょう, while こんにち…

  6. comment
    Comment #48325230

    Thanks, good catch. This is a known class of edge case I am trying to improve: adjacent tokens sometimes get over-merged into a phrase reading when they should stay separate. 今 and…

  7. comment
    Comment #48324947

    Thanks, I really appreciate that. No signup was a deliberate choice, to keep the barrier to trying it as low as possible. I’ve thought about pitch accent, but it feels like a whole…

  8. comment
    Comment #48324870

    Thanks for sharing this. It looks like a really cool project, and making the data public domain is especially generous. I especially like the dictionary + example sentence format. …

  9. comment
    Comment #48323979

    Thanks, that’s great to hear. Thanks for the vouch too, I didn’t realize the comment was dead.

  10. comment
    Comment #48323949

    Thank you, that means a lot. I’ve been working on it for about a year now, so it’s really encouraging to hear it’s useful. I’m hoping to keep pushing the accuracy further, especial…

  11. comment
    Comment #48322208

    I built a context-aware furigana converter for Japanese text, files, and web pages. The main problem I wanted to solve was that simple dictionary-based furigana works well for comm…

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  13. comment
    Comment #48321751

    Same here. I use codex for planning and deepseek v4 flash for implementation. Its worked really well so far.

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  15. comment
    Comment #48321475

    Meanwhile Deepseek is cutting inference costs to mere cents. Thats the real AI revolution for you.

  16. comment
    Comment #47804683

    Lets see how OpenAI holds up. They prolly shitify or dumb down their models like Anthropic to finally turn their massive loss streak into a profit.

  17. comment
    Comment #47804665

    Another round of lets dumb down the previous model so the new model feels "game changing" and "OP".

  18. comment
    Comment #47656262

    OpenAI is being squeezed from both sides. ChatGPT's chat quality has recently dropped hard. While Claude is pricier, it actually takes the effort to think through complex tasks. Al…