threeducks
No user record in our sample, but threeducks has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but threeducks has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
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…
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…
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…
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…
> 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.
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…
> 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…
Did you have to use any special prompts when using LLMs for writing assistance, or did it just work?
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…
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.
> 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…
> 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…
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…
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/ (click on the orange…
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.
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…
Tail calls can be used for parsing very efficiently: https://news.ycombinator.com/item?id=41289114
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…
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…
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.
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…
> 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…
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.
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?
I found the attempt to promote his website as an "Ask HN" thread amusing, after his previous four "Show HN" threads were closed.