Live data from Hacker News

Viewing profile — threeducks

threeducks

HN member
Joined
Fri, Jan 10, 2025, 6:25 AM UTC
HN karma
420
Public activity
141 items

About threeducks

No profile information was provided.

Recent public activity

  1. comment
    Comment #46903237

    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 supp…

  2. comment
    Comment #46520873

    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…

  3. comment
    Comment #46496462

    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…

  4. comment
    Comment #46493198

    I have tried a few Qwen-2.5 and 3.0 models ( For comparison, I have also tried the smaller Mistral models, which have a much more complete vocabulary, but their writing sometimes l…

  5. comment
    Comment #46492987

    > 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. comment
    Comment #46492942

    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 experienc…

  7. comment
    Comment #46492767

    > 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 …

  8. comment
    Comment #46492549

    Did you have to use any special prompts when using LLMs for writing assistance, or did it just work?

  9. comment
    Comment #46486301

    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…

  10. comment
    Comment #46486239

    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 …

  11. comment
    Comment #46426794

    > 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? Th…

  12. comment
    Comment #46409360

    > 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 o…

  13. comment
    Comment #46373395

    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 --…

  14. comment
    Comment #46335659

    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.use…

  15. comment
  16. comment
    Comment #46290711

    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 wheth…

  17. comment
    Comment #46286480

    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 the…

  18. comment
    Comment #46160526

    Tail calls can be used for parsing very efficiently: https://news.ycombinator.com/item?id=41289114

  19. comment
    Comment #46134458

    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 lay…

  20. comment
    Comment #46133175

    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 pro…

  21. comment
    Comment #46133046

    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.

  22. comment
    Comment #46132904

    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 y…

  23. comment
    Comment #46110359

    > 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. Usua…

  24. comment
    Comment #46105248

    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…

  25. comment
    Comment #46098328

    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?