Live data from Hacker News

Viewing profile — genpfault

genpfault

HN member
Joined
Sat, Dec 10, 2016, 10:36 PM UTC
HN karma
1,027
Public activity
361 items

About genpfault

No profile information was provided.

Recent public activity

  1. comment
    Comment #49202662

    More generally: https://roguebasin.com/index.php/Articles#Dungeons https://roguebasin.com/index.php/Articles#Map

  2. comment
    Comment #48833636

    https://review.lineageos.org/c/LineageOS/android_frameworks_...

  3. comment
    Comment #48822368

    > this knockoff site shows SHRDLU[1] has the same thing for $40? Person: Grasp the knockoff. Computer: I DON'T UNDERSTAND WHICH KNOCKOFF YOU MEAN. [1]: https://en.wikipedia.org/wik…

  4. comment
    Comment #48600652

    Not, in fact, optical interferometry :(

  5. comment
    Comment #48563805

    What's the app data backup/restore story on GrapheneOS? My understanding is that even with pseudo-D2D (device-to-device) transfers Seedvault doesn't backup everything[1]. Are there…

  6. comment
    Comment #48542746

    C binding: [0] [0]: https://github.com/n0-computer/iroh-c-ffi

  7. comment
    Comment #48461058

    > Einstein How are you handling relativistic effects in the N-body simulation?

  8. comment
    Comment #48388351

    > KeepassXC can't do auto-type on Wayland https://github.com/keepassxreboot/keepassxc/issues/2281 Though it looks like there's a recent PR for that: https://github.com/keepassxrebo…

  9. comment
    Comment #48221843

    They ever get around to re-adding C++ support?

  10. comment
    Comment #47928961

    Prompt processing is absolutely punishing: ./llama-batched-bench -hf unsloth/Qwen3.5-122B-A10B-GGUF:UD-IQ4_NL -npp 1000 -ntg 128 -npl 1 --cache-type-k q8_0 --cache-type-v q8_0 -c 1…

  11. comment
    Comment #47865406

    Getting ~36-33 tok/s (see the "S_TG t/s" column) on a 24GB Radeon RX 7900 XTX using llama.cpp's Vulkan backend: $ llama-server --version version: 8851 (e365e658f) $ llama-batched-b…

  12. comment
    Comment #47853870

    Hear, hear!

  13. comment
    Comment #47622541

    llama.cpp (b8642) auto-fits ~200k context on this 24GB RX 7900 XTX & it shows a solid 100+ tok/s ("S_TG t/s") on the first 32k of it, nice! ./llama-batched-bench -hf unsloth/gemma-…

  14. comment
    Comment #47576039

    Doesn't seem to serve rendered samples so you have to set "browser.display.use_document_fonts" to "1" to see anything useful.

  15. comment
    Comment #47531705

    600 GB/s of memory bandwidth isn't anything to sneeze at. ~$1000 for the Pro B70, if Microcenter is to be believed: https://www.microcenter.com/product/709007/intel-arc-pro-b70... …

  16. comment
    Comment #47459256

    Not to be confused with GNU parallel[1], written in Perl. [1]: https://en.wikipedia.org/wiki/GNU_parallel

  17. comment
    Comment #47373693

    Speculative decoding[1]? [1]: https://github.com/ggml-org/llama.cpp/blob/master/docs/specu...

  18. comment
    Comment #47342687

    > A social networking system simulates a user using a language model trained using training data generated from user interactions performed by that user Google People[1]? [1]: http…

  19. comment
    Comment #47077570

    > "A system's purpose is what it does" POSIWID: https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_wha...

  20. comment
    Comment #46941100

    https://www.redblobgames.com/articles/curved-paths/

  21. comment
    Comment #46881033

    Nifty, thanks for the heads-up!

  22. comment
    Comment #46874841

    Nice! Getting ~39 tok/s @ ~60% GPU util. (~170W out of 303W per nvtop). System info: $ ./llama-server --version ggml_vulkan: Found 1 Vulkan devices: ggml_vulkan: 0 = Radeon RX 7900…

  23. comment
    Comment #46770278

    > ConnectBot https://f-droid.org/en/packages/org.connectbot/ https://github.com/connectbot/connectbot

  24. comment
    Comment #46736028

    Because TFA never bothered to define it: Broadband Network Gateway (BNG)[1] [1]: https://github.com/codelaboratoryltd/bng#bng-broadband-netwo...

  25. comment
    Comment #46548196

    tap tap tap tap tap