threeducks

5 ms·

1.
by threeducks 7mo ago
It is too easy to jailbreak the models with prefill, which was probably the reason why it was removed. But I like that this pushes people towards open source models. llama.cpp supports prefill and even GBNF grammars [1], which is useful if
2.
by threeducks 8mo ago
A while ago, I also implemented a dense eigenvalue solver in Python following a similar approach, but found that it did not converge in O(n^3) as sometimes claimed in literature. I then read about the Divide-and-conquer eigenvalue algorithm
3.
by threeducks 9mo ago
Could you explain how? I can't seem to figure it out. DeepSeek-V3.2-Exp has 37B active parameters, GLM-4.7 and Kimi K2 have 32B active parameters. Lets say we are dealing with Q4_K_S quantization for roughly half the size, we still ne
4.
by threeducks 9mo ago
I have tried a few Qwen-2.5 and 3.0 models (<=30B), even abliterated ones, but it seems that some words have been completely wiped from their pretraining dataset. No amount of prompting can bring back what has never been there. For compa
5.
by threeducks 9mo ago
> Are .pdfs and .epub safe these days? Depends on the viewer. Acrobat Reader? Probably not. PDF.js in some browser? Probably safe enough unless you are extremely rich.
6.
by threeducks 9mo ago
That was my experience as well. Sometimes, LLMs were a big help, but other times, my efforts would have been better spent writing things myself. I always tell myself that experience will make me choose correctly next time, but then a new mo
7.
by threeducks 9mo ago
> But if you are insinuating AI made all this up on it's own, I have to disappoint you. No worries, I am not a native English speaker myself. I was genuinely interested in whether commercial LLMs would use "bad" words with
8.
by threeducks 9mo ago
Did you have to use any special prompts when using LLMs for writing assistance, or did it just work?
9.
by threeducks 9mo ago
The last data point is from January 2026, which has just begun. If you extrapolate the 321 questions by multiplying by 10 to account for the remaining 90 % of the month, you get to within the same order of magnitude as December 2025 (3862).
10.
by threeducks 9mo ago
Those popups were a big contributor for me to stop using SO. I stopped updating my uBlock origin rules when LLMs became good enough. I am now using the free Kimi K2 model via Groq over CLI, which is much faster.
11.
by threeducks 9mo ago
> This is from the man who has no finished open source projects To be fair, which open source project can really claim that it is "finished", and what does "finished" even mean? The only projects that I can truly call
12.
by threeducks 9mo ago
> it always work[s] That was not my experience, at least for very large files (100+ GB). There was a workaround (that has since been patched) where you could link files into your own Google drive and circumvent the bandwidth restriction
13.
by threeducks 9mo ago
HTML to PNG: chromium --headless --disable-gpu --screenshot=output.png --window-size=1920,1080 --hide-scrollbars index.html Also works great for HTML to PDF: chromium --headless --disable-gpu --no-pdf-header-footer --run-all-
14.
by threeducks 9mo ago
Lets take the Samsung 9100 Pro M.2 as an example. It has a sequential read rate of ~6700 MB/s and a 4k random read rate of ~80 MB/s: https://i.imgur.com/t5scCa3.png https://ssd.userbenchmark.com/
15.
by threeducks 9mo ago
It is true that big-O notation does not necessarily tell you anything about the actual runtime, but if the hidden constant appears suspiciously large, one should double-check whether something else is going on.
16.
by threeducks 9mo ago
Without looking at the code, O(N * k) with N = 9000 points and k = 50 dimensions should take in the order of milliseconds, not seconds. Did you profile your code to see whether there is perhaps something that takes an unexpected amount of t
17.
by threeducks 10mo ago
Tail calls can be used for parsing very efficiently: https://news.ycombinator.com/item?id=41289114
18.
by threeducks 10mo ago
I can not say how big ML companies do it, but from personal experience of training vision models, you can absolutely reuse the weights of barely related architectures (add more layers, switch between different normalization layers, switch b
19.
by threeducks 10mo ago
Why would the open weights providers need their own tools for agentic workflows when you can just plug their OpenAI-compatible API URL into existing tools? Also, there are many providers of open source models with caching (Moonshot AI, Groq
20.
by threeducks 10mo ago
You need a certain level of batch parallelism to make inference efficient, but you also need enough capacity to handle request floods. Being a small provider is not easy.
21.
by threeducks 10mo ago
I just tried it with GPT-5.1-Codex. The compression ratio is not amazing, so not sure if it really worked, but at least it ran without errors. A few ideas how to make it work for you: 1. You gave a link to a PDF, but you did not describe ho
22.
by threeducks 10mo ago
> I do wonder if there are any DOS vectors that need to be considered if such a large image can be defined in relatively small byte space. You can already DOS with SVG images. Usually, the browser tab crashes before worse things happen.
23.
by threeducks 10mo ago
Here is an even older comment chain about it from 2020: https://news.ycombinator.com/item?id=23895706 Apparently, comparing low-background steel to pre-LLM text is a rather obvious analogy.
24.
by threeducks 10mo ago
Could you explain a bit how the code works? For example, how does it detect the correct pixel size and how does it find out how to color the (potentially misaligned) pixels?
25.
by threeducks 10mo ago
I found the attempt to promote his website as an "Ask HN" thread amusing, after his previous four "Show HN" threads were closed.
26.
by threeducks 10mo ago
That's a lot of em-dashes in your ad. And a heads up: I get "This video is not rated. Join vimeo to watch." when trying to watch the video.
27.
by threeducks 10mo ago
> all projects with over 100 GitHub stars or some similar metric. I think it would be difficult to come up with a good metric. For example, it should not be based on some easily faked number governed by a foreign company.
28.
by threeducks 10mo ago
The article in question: "Unpowered SSDs slowly lose data" https://news.ycombinator.com/item?id=46038099
29.
by threeducks 10mo ago
It might have become socially acceptable to lie when everyone else is, but it is still a lie. Back in my days, you at least had to put an asterisk behind such outrageous claims.
30.
by threeducks 10mo ago
> It's not a lie if no one is abusing it. It absolutely is a lie, but you might live in a society where constant lying has been normalized. Personally, I believe that society would be better off if companies were held to the letter

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