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dacox

HN member
Joined
Fri, Mar 06, 2015, 6:01 PM UTC
HN karma
125
Public activity
73 items

About dacox

dacox.at.hn

[ my public key: https://keybase.io/dacox; my proof: https://keybase.io/dacox/sigs/KaGMMaVyowMM1tCFTS6uwLYZXy5yuW4AntMpDgHOeLs ]

Recent public activity

  1. comment
    Comment #48865844

    the 1.5 and 2.0 flash models were absolute beasts. They were very cheap, and _very_ fast. We contemplated moving some of our fine tuned workloads to them because we would have gott…

  2. comment
    Comment #48676642

    very cool! not sure if something is broken, but there seems to be no data past 2019 on any of the queries that i can see

  3. comment
    Comment #47925382

    As a Canadian I see little reason for optimism

  4. comment
    Comment #47769899

    Yeah, I have been seeing lots of comments, tweets, etc, but given everything I have learned about these models - i do not think the change to 1M was innocuous. I'm not sure what th…

  5. comment
    Comment #47280344

    i feel like i misunderstand the UI - it seems to show coalition strikes mostly being intercepted? or does the bottom row refer to strikes against coalition forces?

  6. comment
    Comment #46610325

    The reflexive and moralistic anti-AI takes are starting to get more annoying than the actual AI slop

  7. comment
    Comment #46332863

    the stacked changes support, for me, was an absolute game changer. the auto rebasing, etc, is -really- nice. i found it especially useful for Gitops type stuff where you have to ma…

  8. comment
    Comment #46239501

    The iPhones autocorrect is one of my biggest frustrations coming from Android a few years ago. The biggest frustration for me is the tendency to correct the _second to last word_. …

  9. comment
    Comment #45961520

    awesome! i was just looking at a bucket full of parquet files from last year trying to recall some things about them. i tried to install with brew, but it told me my cli tools were…

  10. comment
    Comment #45762638

    thanks! glad to know its getting fixed. if i have any notes ill send them your way!

  11. comment
    Comment #45742286

    Cool app! I think I found a broken problem (or it’s worded strangely?) and I’m unable to progress beyond it “Pick 2 that beat villain on board” “QQ552” In submitting Queen and 2 to…

  12. comment
    Comment #45674288

    There is a podcast, Memory Hole, about the recovered memory movement. There is a lengthy section about this book and the people behind it (not positive)

  13. comment
    Comment #44504856

    Plugging ourselves, Lumen5 based out of Vancouver. I was one of the first hires found trough the HN hiring thread many moons ago. https://lumen5.com/

  14. comment
    Comment #44305283

    This is happening everywhere where I live (Vancouver)

  15. comment
    Comment #44230903

    I think it should fairly clear why I'm curious, as the article mentions > Although it’s typically not viewed as a partisan board, the Biden administration had installed the entire …

  16. comment
    Comment #44230173

    yeah, I see that. Apparently ACIP is very much not new. I am curious to the specifics of the prevous mass appointment, however.

  17. comment
    Comment #44230051

    Was this a new committee? there is a quote about this being a coup, but it is also noted that the previous administration selected the entire existing committee

  18. comment
    Comment #42783466

    It's an open secret that most nutrition research is of extremely low quality - almost all relying on decades old self reported nutritional questionnaires. Sometimes dozens of these…

  19. comment
  20. comment
    Comment #41595969

    They definitely have to be trained to reinforce longer outputs, but I do not believe this adequately explains the low-ish generation limits. We are starting to see models with long…

  21. comment
    Comment #41595851

    Chunked prefill or some similar technique is also necessary for serving long context requests where there is not enough GPU memory available, regardless of concerns about latency. …

  22. comment
    Comment #41586055

    When doing inference for an LLM, there are two stages. The first phase is referred to as "prefill", where the input is processed to create the KV Cache. After that phase, the "deco…

  23. comment
    Comment #40663321

    In my experience, mostly using LoRA finetunes with OpenAI, it is important to include a/the prompt in your fine tuning dataset. It is _also_ important to include that prompt at inf…

  24. comment
    Comment #39377166

    which essay is that? having trouble finding it

  25. comment
    Comment #38534826

    Wow, I have exactly the same side project in progress, minus the fine tuning part. We even chose the same names and phrasing for parts of the project.