kevin948

6 ms·

1.
by kevin948 4mo ago
No need to be so dismissively pathological. If you disagree, that's one thing, but this reads as 'look at this sad, crazy fool' when this is a pretty understandable reaction to feeling alienated by the way in which LLMs are b
2.
by kevin948 10mo ago
The important piece here is that many people want to contribute to something intellectually, and a huge pathway for that is at risk of being significantly eroded. Permanently. Your point stands that many people like physical labor. Whether
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by kevin948 10mo ago
This has been exactly my mindset as well (another Seattle SWE/DS). The baseline capability has been improving and compounding, not getting worse. It'd actually be quite convenient if AI's capabilities stayed exactly where the
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by kevin948 4y ago
I read this as a happy take on nihilism by taking awe of the absurdism. It really has been quite a journey, hasn't it? Dig it!
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by kevin948 4y ago
Same here. Find any good resources? I've been leaning on auto-encoders to encode better than word-2-vec and its ilk.
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by kevin948 5y ago
I've been watching Steve Brunton's lab closely on discovering dynamical/control systems via NN's/Auto-Encoders. His videos really helped me figure out what was happening in the background to figure out sparse soluti
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by kevin948 5y ago
This is really great! It speaks very much to my use-case (building user embeddings and serving them both to analysts + other ML models). I was wondering if there was a reasonable way to store raw data next to the embeddings such that: 1. A
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by kevin948 5y ago
Super cool stuff! Thanks for the article. I was wondering if someone had an opinion on an adjacent idea. I've had Nash's infinitely collapsible sphere stuck in my head for some time: https://www.quantamagazine.org/
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by kevin948 5y ago
They should be quite similar. In the end you coax your embedding space to amount to some consistent measurement of what causes samples to diverge from one-another. You can do similarity search and all the sorts of things you do for word emb
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by kevin948 5y ago
This is spot on with my own observations, especially as we get into modelling more 'abstract' ideas. As more NN methods become viable, some more savvy data scientists complain to me "this NN is just approximating SVD/P
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by kevin948 6y ago
Love it! I feel like I made a different "zone" in this world: https://music-grid.surge.sh/#0-1056-2048-32-64-64-1024-2176-...
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by kevin948 7y ago
Compelling. I wonder what else this could be applied to in addition to psychedelics? Anti-anxiety and other sensory affecting drugs? If you wanna get Black Mirror-esque, perhaps a Soma-like medication from Brave New World (essentially pacif
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by kevin948 7y ago
Neat. Can you point to any particularly compelling applications? I'm looking into a graph representation for something myself and this looks incredibly helpful.
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by kevin948 7y ago
Interesting point. Are there sensors/tools other than a spectrograph that could help? Some clever use of a camera or something?
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by kevin948 7y ago
I like it. I wonder if any faux meat companies are doing things like this?