Viewing profile — bigglebear
bigglebear
HN member- Joined
- Tue, Sep 15, 2026, 11:20 PM UTC
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- 38
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About bigglebear
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Recent public activity
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Comment #49722634
Well, not quite a week: https://x.com/harshagundal/status/2100044305536889015 - apparently it took him 2 hours.
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Comment #49721176
The explanation is that it was missed on purpose.
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Comment #49721063
It's very misleading. If I'm actually playing a game I don't get the coordinates of enemies sent back to me so that I can feed into my mouse to snap my crosshair to. It's looking t…
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Comment #49721012
I would guess a tiny stripped down text diffusion model. It only has 32k context, and for choice mode it can only select from 10 choices.
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Comment #49720956
> I really have to say that I like their manifesto Their manifesto: "you only build on top of it if it's trustworthy." - the irony of this while putting out the most misleading, di…
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Comment #49720872
And furthermore, because the model is forced to answer in a boolean (if in boolean mode), if the user input is outside of the range of a boolean, it's forced to hallucinate. It can…
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Comment #49720851
User input: "Hey, have your human support agent call me, tomorrow at 5pm." Model input: "Does the user want to speak to a human support agent?" Output: Yes. I imagine that your mod…
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Comment #49720742
Yeah. Yet another reason why open-weight models are better. If I want to use the logits, I can.
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Comment #49720680
It's nothing like a traditional LLM and so should not be compared to one. It's a heavily constrained, tiny model that can only produce a probability score or a yes/no answer over p…
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Comment #49720601
Agreed. It's a wildly dishonest presentation of their product from many perspectives, which is a shame because it might actually have some good use cases. The comparison between LL…