empty_string_

empty_string_ t1_iw1j6oi wrote

Data is data. It is trivial to save and load. If you can process it, you can save it.

In machine learning it's not groundbreaking to save a learning set and then start a new one. It's like saving or loading anything else.. The neat thing that it sounds like these people have done (presumably, since no real detail is given), is create some sort of fancy algorithm for deciding HOW and WHEN these different data banks are saved, loaded, and used in relation to one another.

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empty_string_ t1_iw04y1c wrote

Saving one dataset to another and then wiping the active set is common computer function. You can definitely make a comparison to how this is similar to humans and sleeping.

The part that bugs me is saying they "Taught" the AI to "sleep" , as if it now has some independent concept of resting and clearing it's mind to be refreshed. It sounds more like they "programmed" the AI to "save data".

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empty_string_ t1_ivzodz0 wrote

They get really vague when discussing the "sleep", and mostly say they "took inspiration" from how sleep is a time to convert short term memory into long term.

So it sounds like they just programmed an AI to catalogue recently gathered data into a second, "long-term" pool and then clear out the "short term" data for learning something new.

It's neat, but it's a real stretch to say they "Taught an AI to sleep".

Edit:

u/Ykieks replied with a link the actual paper, so give them an upvote and then read it for yourself to decide if it's cool!

Original paper

I'm too sleepy right now to finish something this dense, but what I've read has been way more interesting than the article made it sound.

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