Live data from Hacker News

Viewing profile — benob

benob

HN member
Joined
Wed, Dec 06, 2017, 7:42 PM UTC
HN karma
422
Public activity
181 items

About benob

No profile information was provided.

Recent public activity

  1. comment
    Comment #49219394

    Maybe the correct UX could be to list the locations of settings data, their size and ask the user whether they want to leave them, put them aside in a dedicated folder ("the attic"…

  2. comment
    Comment #49124018

    What matters for this injection strategy to work is to follow quite closely the style of the reasoning. It's particularly effective if you copy reasoning from the same context. If …

  3. comment
    Comment #49121641

    People will keep hiding reasoning because it allows prompt injection https://arxiv.org/pdf/2603.12277 , in addition to facilitating distillation (you don't pay the full cost of RL)…

  4. comment
    Comment #49121528

    The next step is to build software without bugs

  5. comment
    Comment #48607531

    Longest definition and semi-columns are strong biases for right answer. Also, my run contained a lot of adjectives for which it is pretty obvious that noun definitions do not match…

  6. comment
    Comment #48451621

    It may be a clever move. By using the same models as android (contractually?), they can compete on the user experience which they typically handle better than android phone provide…

  7. comment
    Comment #48401583

    And papers on bias amplification in ML predate LLMs. I remember this specific one which was a spotlight paper at EMNLP: Men Also Like Shopping: Reducing Gender Bias Amplification u…

  8. comment
    Comment #48146760

    Does changing the date fix it?

  9. comment
    Comment #48114151

    Deployed it to a huggingface space: https://huggingface.co/spaces/benoitfavre/needle-playground You can check the very simple docker file there.

  10. comment
    Comment #47868026

    Here is llama-bench on the same M4: | model | size | params | backend | threads | test | t/s | | ------------------------ | ---------: | ---------: | ---------- | ------: | -------…

  11. comment
    Comment #47865140

    I get ~5 tokens/s on an M4 with 32G of RAM, using: llama-server \ -hf unsloth/Qwen3.6-27B-GGUF:Q4_K_M \ --no-mmproj \ --fit on \ -np 1 \ -c 65536 \ --cache-ram 4096 -ctxcp 2 \ --ji…

  12. comment
    Comment #47859956

    I miss the comment tagging system: insightful, informative, interesting, funny. It would make sense for hn.

  13. comment
    Comment #47736941

    Space station tracking: https://flight-viz.com/cockpit.html?lat=40.64&lon=-73.78&alt...

  14. comment
    Comment #47736889

    I just realized that a hash function is nothing less than the output of a deterministic random number generator xored with some data

  15. comment
    Comment #47736369

    No, the failure is the human written prompt

  16. comment
    Comment #47646767

    The author emphasizes accessibility and coherence as a benefit but another interesting one is composability which does not emerge naturally in the world of UI. Create a UI for a pa…

  17. comment
    Comment #47603351

    "That allows us to license the open source project under the more permissive MIT license."

  18. comment
    Comment #47583309

    I would say: - decomposition: discover a more general form of Fourrier transform to untangle the underlying factors - memorization: some patterns are recurrent in many domains such…

  19. comment
    Comment #47583209

    Ollama is a user-friendly UI for LLM inference. It is powered by llama.cpp (or a fork of it) which is more power-user oriented and requires command-line wrangling. GGML is the math…

  20. comment
    Comment #47514233

    Maybe they quantized a bit too much the model parameters...

  21. comment
    Comment #47514198

    This is the worst lay-people explanation of an AI component I have seen in a long time. It doesn't even seem AI generated.

  22. comment
    Comment #47508071

    This reminds me of Intel talking about faster web browsing with the new Pentium

  23. comment
    Comment #47443273

    The real question is when will you resort to bots for rejecting low-quality PRs, and when will contributing bots generate prompt injections to fool your bots into merging their PRs…

  24. comment
    Comment #47439961

    Reminds me of "Universal pre-training by iterated random computation" https://arxiv.org/pdf/2506.20057 , with bit less formal approach. I wonder if there is a closed-form solution …

  25. comment
    Comment #47333342

    Time to start zig++