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johnsmith1840yesterday at 6:59 PM3 repliesview on HN

It's basically continual learning. This is beyond a hard problem it's currently an impossible one. I know of no system that solve CL even at small scale let alone large models.

Annoyingly, they have SOME inherent capability to do it. It's really easy to get sucked down this path due to that glimmer of hope but the longer you play with it the more annoying it becomes.

SSI seems to be focused on this problem directly so maybe they discover something?


Replies

snovv_crashyesterday at 11:18 PM

For neural networks, yeah continuous learning is basically dead.

But for other ML approaches, it works really well. KNN is one example that works particularly well.

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foobar10000yesterday at 9:13 PM

So, surprising, that is not completely true - I know of 2 finance HFT trading firms that do CL at scale, and it works - but in a relatively narrow context of predicting profitable actions. It is still very surprising it works, and the compute is impressively large to do it - but it does work. I do have some hope of it translating to the wider energy landscapers we want AI to work over…

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vjerancrnjakyesterday at 10:57 PM

Bandits?

Spaced repetition algos