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Keith Duggar

Published podcast speaker

Claims
31
Episodes
6
Shows
1
Named items
0

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What Keith said.

6 transcript-backed records

01 / evaluation

I need, like, a very concrete example because I completely agree with you, which is that the symbols we use, the language we use are just simplicity is so fundamental to our ability to, like, reason at higher and higher levels.

“I need, like, a very concrete example because I completely agree with you, which is that the symbols we use, the language we use are just simplicity is so fundamental to our ability to, like, reason at higher and higher levels.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

02 / evaluation

It's like I'm gonna have this shape EIN sum followed by this linearity feeds into this shape followed by so I'm still gonna have to do that kind of, like, you know, structuring of the network, if you will, except now in Tensor Logic. And in my opinion, that's 1 of the biggest limitations right now is these are all just divined cantation structures that people have come up with.

“It's like I'm gonna have this shape EIN sum followed by this linearity feeds into this shape followed by so I'm still gonna have to do that kind of, like, you know, structuring of the network, if you will, except now in Tensor Logic. And in my opinion, that's 1 of the biggest limitations right now is these are all just divined cantation structures that people have come up with.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

03 / evaluation

I'm not sure. But, I mean, you know, the what I experienced is that, you know, having parameters in a model, even if they're very, very small because some you know, I put in some term in the objective function that forced them to be small is not the same thing as actually the simpler model that just didn't have them at all.

“I'm not sure. But, I mean, you know, the what I experienced is that, you know, having parameters in a model, even if they're very, very small because some you know, I put in some term in the objective function that forced them to be small is not the same thing as actually the simpler model that just didn't have them at all.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

04 / evaluation

Oh, naughty. So, yeah, and I think, you know, people like Neil Seth make a very similar point quite earnestly, you know, that intelligence and and consciousness are completely orthogonal, that you're making agency and consciousness are completely orthogonal, and I would agree entirely.

“Oh, naughty. So, yeah, and I think, you know, people like Neil Seth make a very similar point quite earnestly, you know, that intelligence and and consciousness are completely orthogonal, that you're making agency and consciousness are completely orthogonal, and I would agree entirely.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

05 / evaluation

Being able to communicate the free energy principle in a way that people find a useful and obvious sort of tool or method to apply could have, I think, gone better.

“Being able to communicate the free energy principle in a way that people find a useful and obvious sort of tool or method to apply could have, I think, gone better.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

06 / evaluation

Like not butterflies, dragonflies. And and therein is the crux of the problem because we did this open ended cool thing and I mean part of the, let's say, downside of an open ended search is you don't know where you're gonna end up.

“Like not butterflies, dragonflies. And and therein is the crux of the problem because we did this open ended cool thing and I mean part of the, let's say, downside of an open ended search is you don't know where you're gonna end up.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk
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