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huac

HN member
Joined
Sun, Mar 30, 2014, 9:36 PM UTC
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1,271 items

About huac

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Recent public activity

  1. comment
    Comment #43132070

    that comment refers to the test time inference, i.e. what the model is prompted with, not to what it is trained on. this is, of course, also a tricky problem (esp over long context…

  2. comment
    Comment #43131904

    > 32.67% of the successful patches involve cheating as the solutions were directly provided in the issue report or the comments. Looking at the benchmark, https://www.swebench.com/…

  3. comment
    Comment #42736464

    > Coding assistants based on o1 and Sonnet are pretty great at coding with I had a very similar impression (wrote more in https://hua.substack.com/p/are-longer-context-windows-all-…

  4. story
  5. comment
    Comment #42736388

    from an AI research perspective -- it's pretty straightforward to mitigate this attack 1. perplexity filtering - small LLM looks at how in-distribution the data is to the LLM's dis…

  6. comment
    Comment #42138965

    real-time full duplex like OpenAI GPT-4o is pretty expensive. cascaded approaches (usually about 800ms - 1 second delay) are slower and worse, but very very cheap. when I built thi…

  7. comment
    Comment #41991349

    nice work! I wrote a similar library ( https://github.com/stillmatic/gollum/blob/main/packages/vect... ) and similarly found that exact search (w/the same simple heap + SIMD optimi…

  8. comment
    Comment #41956778

    reminds me a lot of rmarkdown - which allows you to run many languages in a similar fashion https://rmarkdown.rstudio.com/

  9. comment
    Comment #41759876

    shouldn't there be more clouds over ocean, as that is where the clouds tend to form?

  10. comment
    Comment #41596669

    > there needs to be a tool/function calling step before a reply I built that almost exactly a year ago :) it was good but not fast enough - hence building the joint model.

  11. comment
    Comment #41587462

    > Current AI (even GPT-4o) simply isn't capable enough to do useful stuff. You need to augment it somehow - either modularize it, or add RAG, or similar I am sympathetic to this vi…

  12. comment
    Comment #41584987

    One guess is that the live demo is quantized to run fast on cheaper GPUs, and that degraded the performance a lot.

  13. comment
    Comment #41373464

    in particular it appears that they only implement data parallel DP - at 1.2B you can fit full copy of model into memory, but larger models require splitting the weights across mult…

  14. comment
    Comment #41262330

    no. only 4 categories can be blocked, while the others cannot be disabled.

  15. comment
    Comment #41162616

    His most recent LinkedIn role: Fulfillment Center Associate I, Part Time, Amazon.

  16. comment
    Comment #41062150

    > Aoccdrnig to a rscheearch at Cmabrigde Uinervtisy, it deosn't mttaer in waht oredr the ltteers in a wrod are, the olny iprmoetnt tihng is taht the frist and lsat ltteer be at the…

  17. comment
    Comment #41028444

    I gave the same article to Claude 3.5 Sonnet and the result seems reasonably similar to the author's handwritten summary. ``` This article examines the governance of Dutch pension …

  18. comment
    Comment #40946485

    except to the extent that your voice may be part of your image, which is actionable: https://en.wikipedia.org/wiki/Midler_v._Ford_Motor_Co .

  19. comment
    Comment #40942696

    The samples were released a while back: https://google-research.github.io/seanet/stream_vc/

  20. comment
    Comment #40564863

    ah nice, did not see this because I searched for `llama-3-v`

  21. comment
    Comment #40564405

    Last week, a vision-language model made the rounds on Twitter and Hacker News ( https://news.ycombinator.com/item?id=40505099 , made front page). However, the model code and weight…

  22. story
  23. comment
    Comment #40513671

    can you elaborate?

  24. comment
    Comment #40512507

    it's probably correct to think of functionally all ML models as being stateless. even something like twitter/fb feed - the models themselves remain the same (usually updated 1-2x p…

  25. comment
    Comment #40512047

    25% MFU :( maybe because of the P2P nerf?