menaerus

4 ms·

1.
by menaerus 7d ago
Also a speculation but I'm almost certain that physical optimizations are first done through simulators running on a computer.
2.
by menaerus 7d ago
> LLMs are not suitable for that kind of work. I wonder why not or you meant not suitable yet?
3.
by menaerus 8d ago
I wanted to understand your background first because what you initially said is a very oversimplified view of LLM mechanics, and generally not quite the way how software is in practice written. Since you didn't answer that question, I
4.
by menaerus 8d ago
How do you know this is not true with other vendors? I'm not defending them but I wouldn't believe anyone in this business unconditionally. Anthropic agent fwiw is not open source, gemini and codex are.
5.
by menaerus 8d ago
I guess you're not writing code much or haven't done much so as your professional career?
6.
by menaerus 8d ago
They do invent code solution for the problem that exists in your codebase. Latter implies that the code solution LLM synthesizes is usually unique of a kind, so, it's not a copy-paste neither it is a simple extract from "another c
7.
by menaerus 8d ago
Benchmarks will be interesting to see but I doubt the cores alone will be able to reach beyond ~500GB/s of BW, and even if they match that figure it will be great.
8.
by menaerus 8d ago
Do you have a link?
9.
by menaerus 9d ago
Look into the history clases will be enough. Why would I need to prove anything to a random stranger on the internet?
10.
by menaerus 9d ago
Unless you have the source for the latter it's nothing more than propaganda. Also, DeepSeek report is 2-3 years old, and at that time there were no huawei chips, at least not known to the public. This is a different model, in different
11.
by menaerus 9d ago
Why do you think the Chinese are not using their ai chips, which afaics are from huawei, to train their models? If that is true, which I think it is, we don't have to wait until 2030 to see if they're gonna match the performance o
12.
by menaerus 9d ago
Anthropic: 17 USD (pro), 100 USD (max) GLM: 80 USD (pro), 168 USD (max) -> with "limited-time event" discount this becomes 56 USD and 117.6 USD I also don't understand why are they so much costlier, and I would also like t
13.
by menaerus 9d ago
It was evident that this will happen. > Compared with our initial baseline on the same hardware, we achieved a 3× improvement in end-to-end serving performance, reaching hardware efficiency and per-token cost comparable to mainstream NVI
14.
by menaerus 11d ago
Does Rust not have SIMD intrinsics that you could use directly instead of relying on auto-vectorization?
15.
by menaerus 11d ago
Companies are heavily incentivized to do so so my guess would be yes. I also don't write the code by hand almost at all.
16.
by menaerus 12d ago
Sometimes the winters may be cold, some other times they may be exceptionally warm, and sometimes they're a mix of both. The law remains the same regardless what the winter was or is like. Countries that have exceptionally warm winters
17.
by menaerus 12d ago
If warranted by the law then yes, you have to abide to it.
18.
by menaerus 12d ago
I started using gemini with caution given the "much worse" benchmarking points it has gotten and still does but in practice there's very little evidence I found in comparison to claude models. It performs really well on non t
19.
by menaerus 14d ago
What kind of comment is that? No, I have not bought the h100 obviously, and, yes, you can buy the new one for 20k. Used one for even less.
20.
by menaerus 15d ago
You're correct, the difference isn't nil - H100 is data-center grade GPU with loads of bandwidth and compute while RTX PRO is a consumer grade GPU. The difference between the microarchitectures would make sense to point out if we
21.
by menaerus 15d ago
Worktrees are significantly faster to use and checkout than clones. They also use much less disk space, and obviously commits made in one worktree do not require git plumbing to get them visible in another etc.
22.
by menaerus 15d ago
For that price you get the H100. The machine is overpriced, and I'd personally rather go for a second-hand workstation with server-grade components.
23.
by menaerus 15d ago
I wonder what the target audience for this price range is? At that price point I would rather go for a single H100.
24.
by menaerus 16d ago
In certain, more complex, software engineering domains this almost became true as of today.
25.
by menaerus 20d ago
It doesn't appear to me so
26.
by menaerus 22d ago
The benchmark is irrelevant.
27.
by menaerus 23d ago
I did. And?
28.
by menaerus 23d ago
If I strip the dependencies out, I'm using it on a 5MLoC C++ codebase, and I found it performs really really well. I am using the Opus 5/Fable in parallel and I couldn't tell the difference. Both models make mistakes here and
29.
by menaerus 23d ago
I don't see how useful this benchmark at all is for tracking the progression of models. I am not intending to bash on you personally but this is useless. People who are using AI models everyday are for sure not interested how close the
30.
by menaerus 29d ago
I don't know which one exactly but can we now count how many incidents there were in the pre-agent era?

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