Public evidence record
Published podcast speaker
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9 transcript-backed records
01 / evaluation
“Well, it’s because the Learning Subsystem is a powerful learning algorithm that does have generalization, that is capable of generalization.”
02 / evaluation
“The cortex inherently has the ability to generalize because it’s just predicting based on these very abstract variables and all these integrated information that it has.”
03 / evaluation
“, and each student pursuing a totally different direction or thesis that you see in universities is not also really key. But I think some amount of scalable infrastructure is missing in essentially every area of science, even math, which is crazy.”
04 / evaluation
“If I channel Steve Byrnes more, I think he’s very concerned that the minimum viable things in the Steering Subsystem that you need to get something smart is way less than the minimum viable set of things you need for it to have human-like social instincts and ethics and stuff like that.”
05 / evaluation
“I don’t know, but I’m not a believer in the radical, “Oh, actually memory is not synapses mostly, or learning is mostly genetic changes” or something like that.”
06 / evaluation
“The problem is learning even the most basic things by a series of bespoke experiments takes an incredibly long time.”
07 / evaluation
“You had more false failures because you didn’t get something about the assembly code, rather than the essential thing of was your concept right.”
08 / evaluation
“I think evolution may have built a lot of complexity into the loss functions actually, many different loss functions for different areas turned on at different stages of development.”
09 / evaluation
“If we don’t know if it’s doing a backprop-like learning, and we don’t know if it’s doing energy-based models, and we don’t know how these areas are even connected in the first place, it’s very hard to really get to the ground truth of this.”