Viewing profile — curioussquirrel
curioussquirrel
HN member- Joined
- Fri, Sep 05, 2025, 1:06 PM UTC
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- 243
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- 90 items
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About curioussquirrel
Recent public activity
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Comment #48525410
As usual, take it with a grain of salt.
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Comment #48516228
[dead]
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Comment #48035138
My first real programming achievement was building a website for an Ultima Online shard. I wrote some really terrible PHP and HTML, but it worked for 20+ years afterwards. Great me…
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Comment #47986757
V4 is definitely a step-up from V3.2 on our multilingual benchmarks. Two caveats: - when inferring through Openrouter, we've had a lot of issues with very slow speeds (TPS) and an …
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Comment #47887585
Came here to say the same. Please add a few screenshots!
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Comment #47873670
MoE is mostly an optimization of the active parameters and therefore lowering the compute requirements, but it can provide some performance improvements over dense models in some c…
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Comment #47873222
There are architectural changes (such as reasoning or mixture of experts) that measurably improve how well models perform. So the improvements are definitely not just from data. I …
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Comment #47851363
Here you go! https://news.ycombinator.com/item?id=47847282
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Comment #47847646
Just saw your thinking edit! That's a great question and one I wanted to study in depth, but these days you don't really get access to the raw thinking data. It's usually summarize…
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Comment #47847630
I am fairly convinced that there's a certain polyglot snowball effect: once the LLM is fluent in 20 languages, it can pick up on similarities in vocabulary, syntax etc. and learn t…
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Comment #47847365
One more thing: we're working on a multilingual benchmark that will evaluate core linguistic proficiency in 30 languages. We already have a lot of data internally and I can tell yo…
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Comment #47847283
Disclosure: I work at RWS/TrainAI, we did this study. Recently I alluded to it in a comment and was encouraged to share it, so here it is! We focus on multilingual proficiency, whi…
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Comment #47846654
Yes, but post training cannot possibly account for all possible use cases. Sane defaults are fine, you can't really do much about sampling parameters in chatbots and coding harness…
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Comment #47840057
After Anthropic, Moonshot is another model provider who restricts tweaking of sampling parameters. I do like the idea of the vendor verifier, though.
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Comment #47824955
There's been quite a few threads about Opus 4.7 but none of them seems to have discussed some breaking changes on the API side, particularly removal of sampling parameters. From th…
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Comment #47809913
Will do! Thanks for the encouragement
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Comment #47807951
Claude's tokenizers have actually been getting less efficient over the years (I think we're at the third iteration at the least since Sonnet 3.5). And if you prompt the LLM in a la…
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Comment #47762365
Thanks for sharing! Have been begrudgingly using Darktable since that seems to be your best option on Linux, but the UI/UX never really clicked with me. I wish this was opensource …
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Comment #47744295
Thank you for the transparency and insights! Very helpful. We actually did the same thing re generating charts in brand style to avoid any mishaps, since then I sleep much better
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Comment #47728782
Absolutely unhinged and very entertaining. Thanks for sharing!
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Comment #47636778
Give Gemma 31B a shot for translation, it does a very good job at that given its size.
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Comment #47636758
We're doing multilingual testing and I can confirm what you've observed: Gemma 4 is surprisingly good at multilingual tasks, especially given its size. This is mostly true for the …