Viewing profile — nl
nl
HN member- Joined
- Mon, Apr 07, 2008, 4:31 AM UTC
- HN karma
- 33,560
- Public activity
- 13,153 items
- HN profile
- View on Hacker News ↗
About nl
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
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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...
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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…
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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.
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Comment #49190882
Do you actually think that this group of founders will have trouble finding domain experts wanting to work with them?
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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.
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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…
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Comment #49176818
https://huggingface.co/blog/lerobot-release-v060#molmoact2 Read the command line prompt: --task="pick up the red cube"
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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…
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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,…
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Comment #49176209
Because they need internet access to eg search for things.
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Comment #49164043
The actual project README appears more human-written and is actually pretty interesting: https://github.com/HUANGCHIHHUNGLeo/claude-real-video
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Comment #49164026
That spinning person one would make an interesting benchmark. The model clearly has a strong prior that human heads go upright.
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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…
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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…
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Comment #49152352
Wow the Opus version is a lot more functional (try clicking some links). I'm quite surprised at the difference.
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Comment #49142820
That's not how you measure inference costs though. That includes training.
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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…
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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…
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Comment #49131945
[dead]
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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…
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Comment #49130010
> Revenue: $3.7 billion > Cost of Revenue: $2.65 billion That's how standard accounting rules for public companies would measure it.
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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…
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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.…
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Comment #49121713
Using LIDAR is of course the perfect example of the bitter lesson. More data makes for better outcomes.
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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…