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Viewing profile — arkmm

arkmm

HN member
Joined
Wed, Apr 15, 2020, 6:32 PM UTC
HN karma
148
Public activity
63 items

About arkmm

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Recent public activity

  1. comment
    Comment #49250607

    I'd also be really curious about the cost to run something like this, and what things you think it's particularly helpful for?

  2. comment
    Comment #49236340

    Building a simple sandboxed way to run open weight models over a copy of all my personal data (email, docs, messaging, photos, etc). Think it'd be cool to have a self hosted AI "ch…

  3. comment
    Comment #48927090

    And the human has to explain it at 2 tokens/sec (average speaking speed ~130-150 wpm). That's another constraint against slop - humans need to be able to explain their code succinc…

  4. comment
    Comment #48912980

    I think part of the problem is the context windows for humans are actually much smaller than what an LLM can keep track of today. The small context window of humans is a feature th…

  5. comment
    Comment #48481912

    Seems like LLMs embrace that last point as well.

  6. comment
    Comment #48288096

    everything is computer

  7. comment
    Comment #47338743

    Didn't know this technique had a name, but I would think a modern compiler could make this optimization on its own, no?

  8. comment
    Comment #47252477

    You can fine tune a small LLM with a few thousand examples in just a few hours for a few dollars. It can be a bit tricky to host, but if you share a rough idea of the volume and wh…

  9. comment
    Comment #47252196

    Can you share more details about your use case? The good applications of fine tuning are usually pretty niche, which tends to make people feel like others might not be interested i…

  10. comment
    Comment #47241421

    Payment fees are crazy when you think about them from the perspective of a merchant in a low margin business. E.g. in retail or restaurants, margins aren't much better than ~10%. I…

  11. comment
    Comment #47170771

    I used to also have this optimistic take, but over time I think the reality is that most people will instead just distrust unknown online sources and fall into the mental shortcuts…

  12. comment
    Comment #47159959

    Get ready for the acquisition offers.

  13. comment
    Comment #46981620

    Sorry Ploum, just getting a chance to read this now and comment. Great insights!

  14. comment
    Comment #46876610

    this is a really cool insight, going to use this on my team from now on!

  15. story
    Ask HN: For those of you building AI agents, how have you made them faster?

    Because of the coordination across multiple systems + chaining LLM calls, a lot of agents today can feel really slow. I would love to know how others are tackling this: - How are y…

  16. comment
    Comment #46632656

    They're still very good for finetuned classification, often 10-100x cheaper to run at similar or higher accuracy as a large model - but I think most people just prompt the large mo…

  17. comment
    Comment #46533266

    Maybe a bit off-topic, but how'd you meet your partner while on your adventures?

  18. comment
    Comment #45649429

    As a follow-up to this, even though water makes up 70% of the Earth's surface, it's only 0.02% of the Earth's mass.

  19. comment
    Comment #45649327

    Wow, this deserves its own submission.

  20. comment
    Comment #45605410

    Neat approach, but seems like the eventual goal of caching DOM maps for all users would be a privacy nightmare?

  21. comment
    Comment #45573832

    What's misleading about that? You rent $100 of time on an H100 to train the model.

  22. comment
    Comment #45508467

    What sorts of automations were you able to get working with the Chrome dev tools MCP?

  23. comment
    Comment #45473922

    The irony of this is so much of Reddit comments these days are AI generated.

  24. comment
    Comment #45341987

    Unfortunately I think they have stopped doing this since COVID.

  25. comment
    Comment #45295444

    This misses the forest from the trees IMO: - The datacenter GPU market is 10x larger than the consumer GPU market for Nvidia (and it's still growing). Winning an extra few percenta…