The example sentences generated “only from neural data” at the top of this article seem surprisingly accurate to me, like, not exact matches but much better than what I would expect even from 10k hours:
“the room seemed colder” -> “ there was a breeze even a gentle gust”
Tangential to your point, if you collect 10,000 hours of brain scanning in exactly one damp basement, I wonder if perhaps the model would become very, very specialized for all of the flavors of "this room seems colder."
For the record, it was two basements -- we moved office in the middle -- and a bigger issue was actually overheating. But your point is basically right! The model is a lot better at certain kinds of ideas than others. Particularly concerning was the fact that the first cluster I noticed getting good was all the different variations of 'the headset is uncomfortable/heavy' etc. But this makes sense -- what participants talk about has a lot to do with what kinds of ideas the model can pick up, and this was more or less what we expected
This looks cool but I’m confused exactly how the compilation is supposed to work, and the docs[1] don’t make it any clearer. Is it promoting an LLM to try to get it to generate deterministic code to do the task?
This website was a part of my education as a computer scientist and seeing it here again I'm curious for the full story of how this site was made. Who made it, what do they do now, is it part of a broader project they have?
There must now be projects like the one the author describes that are at least 5-10 years old now, I’d love to see a comparison of ones that delivered their promises and ones that keep delusionally lumbering on.
Glad to see this on here again. This book is what bridged the gap between my undergrad degree and feeling like I could contribute to nontrivial real software projects. I originally found it because of HN
Sure, but that's a vacuous observation. X being determined by Y is only useful when X and Y are somehow distinct. Simply having two different labels for the same object is not very interesting.
I would suggest that if one label is singular (the world) and the other is plural (the totality of facts) and you explain how the latter combine to form the former then the observation should be especially informative.
In general pointing out that two labels point to the same object can be very informative and this is relevant for the context in which Wittgenstein was writing https://en.m.wikipedia.org/wiki/Frege%27s_puzzles
“the room seemed colder” -> “ there was a breeze even a gentle gust”
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