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nl

HN member
Joined
Mon, Apr 07, 2008, 4:31 AM UTC
HN karma
33,560
Public activity
13,153 items

About nl

Formerly founder of an ML company in Adelaide and Sydney. Exited 2021.

Did some decentralized databases work and private ML work.

Formally CTO at a startup working on AI for strategy/policy work.

Always happy for emails or tweets at me.

http://twitter.com/nlothian

firstname.lastname at gmail.com

Recent public activity

  1. comment
    Comment #49218554

    > Only for China, of course HP, Acer and Asus are now using them https://asia.nikkei.com/business/china-tech/hp-asus-and-acer...

  2. comment
    Comment #49205768

    I think this is a great story. For those who aren't aware, that strip of land is probably some of the most valuable residential land on earth. HK: $200,000+/ sq m (for premium prop…

  3. comment
    Comment #49191967

    I sent the blog post to someone right now because it had exactly the kinds of details they care about, with the appropriate level of technical details.

  4. comment
    Comment #49190882

    Do you actually think that this group of founders will have trouble finding domain experts wanting to work with them?

  5. comment
    Comment #49180932

    This is a very bad way of thinking of it. Small LLMs have clues about real knowledge but only surface level answers will be accurate.

  6. comment
    Comment #49178585

    You can tell someone in native on LessWrong by their ability to use incredibly obtuse language to say simple things. It's just in-crowd signalling. > cunningham-esque laws Cunningh…

  7. comment
    Comment #49176818

    https://huggingface.co/blog/lerobot-release-v060#molmoact2 Read the command line prompt: --task="pick up the red cube"

  8. comment
    Comment #49176813

    https://huggingface.co/blog/lerobot-release-v060#molmoact2 Read the command line prompt: --task="pick up the red cube" There is a gif directly below it. This is a completely open s…

  9. comment
    Comment #49176685

    > Michael O’Kelly in the Google+ comments pointed out that the scheme was also in conflict with option-value/learning I miss Google+ (and even more Google Buzz that came before it,…

  10. comment
    Comment #49176209

    Because they need internet access to eg search for things.

  11. comment
    Comment #49164043

    The actual project README appears more human-written and is actually pretty interesting: https://github.com/HUANGCHIHHUNGLeo/claude-real-video

  12. comment
    Comment #49164026

    That spinning person one would make an interesting benchmark. The model clearly has a strong prior that human heads go upright.

  13. comment
    Comment #49163171

    > Ironically, it died around the time LLMs/AI started becoming good. What? I think maybe you are confusing Itanium with something else? Development on itanium stopped in 2013: > On…

  14. comment
    Comment #49152412

    > In the interest of perspective, can anyone (perhaps playing devil's advocate) give one? I have numerous cases where Sol failed and only Fable could solve a problem. For example y…

  15. comment
    Comment #49152352

    Wow the Opus version is a lot more functional (try clicking some links). I'm quite surprised at the difference.

  16. comment
    Comment #49142820

    That's not how you measure inference costs though. That includes training.

  17. comment
    Comment #49141377

    > Action LLMs work by generating text underneath This isn't true. Obviously there is a lot of variety in architecture, but in the prototypical example there are vision and language…

  18. comment
    Comment #49131953

    Why? Have you ever tried reproducing even a small neural network exactly if you train on GPUs on more than one machine? I have and it is pretty close to impossible, and I'd argue a…

  19. comment
  20. comment
    Comment #49131928

    You fine-tune the open-weight model without access to the original weights. If you want to train it from scratch you need data, yes. But presumably if you are doing that there is a…

  21. comment
    Comment #49130010

    > Revenue: $3.7 billion > Cost of Revenue: $2.65 billion That's how standard accounting rules for public companies would measure it.

  22. comment
    Comment #49121828

    Margins means exactly what the poster you are replying to implies: that in the US Tesla has high margins (the difference between cost of good sold and what you get for them) becaus…

  23. comment
    Comment #49121762

    >But how does LLMs help in making chat bots better, help with this "multi-sensory" data. All three offerings from the linked blog post are either Vision LLMs or Vision/Action LLMs.…

  24. comment
    Comment #49121713

    Using LIDAR is of course the perfect example of the bitter lesson. More data makes for better outcomes.

  25. comment
    Comment #49117697

    This seems like a post by someone who hasn't really ingested the bitter lesson. Eg, even LeRobot (without proper fingers) can fold clothes now: https://www.youtube.com/watch?v=dPe9…