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This is probably the best example of what it feels like to be someone dealing with cognitive dissonance of Elite Overproduction in AI. https://en.m.wikipedia.o
by AndrewKemendo 2y ago
This is probably the best example of what it feels like to be someone dealing with cognitive dissonance of Elite Overproduction in AI.
https://en.m.wikipedia.org/wiki/Elite_overproduction https://en.m.wikipedia.org/wiki/Elite_overproduction
Since 2012 (Alexnet winning Imagenet with DL) “AI” has been dominated by corporations for one simple and obvious reason that Suttom has pointed out over and over: The group with the best data wins
That wasn’t always true. It used to be the case that the government had better data or academia had better data, but it’s not even close at this point to the point where both of those groups are nearly irrelevant in either applied AI or AI research.
I’ve been applying “AI” at every possible chance I have since 1998 (unreal engine + A* + knn …) and the field has foundationally changed three or four times since.
When I started, people looked at those of us that stated out loud that we wanted to work on AGI as totally insane.
Bengio spoke at the AGI 2014 conference, and at a lunch between myself, Ben G, Josha Bach and Bengio we all agreed DL was going to central to AGI - but it was unclear who would own the data. Someone argued that AGI would most likely come out of an open source project and my argument was there are no structured incentives to allow for the type of organization necessary at the open source level for that.
My position was that DL isn’t sufficient - we need a forward looking RL streaming reward system that is baked into the infrastructure between planning and actuation. I still think that’s true and why AGI (robots doing things instead of people at greater than human level) is probably only a decade away.
It’s pretty wild that stating out loud that your goal is to build superhuman artificial intelligence is still some kind crazy idea - even though it’s so obviously the trajectory we’re on.
As much as I dislike OpenAI and the rest of the corporate AI companies, I respect the fact that they’ve been very vocal about trying to build general intelligence and superhuman intelligence.
- nextos 2y ago> My position was that DL isn’t sufficient - we need a forward looking RL streaming reward system [...] I agree, but don't you think some degree of symbolism or abstraction building is necessary for AGI? Current systems seem to be too fragile and data-intensive.