High Signal Podcasts Evidence ledger
Method
Browse
How the evidence works

Public evidence record

Jeff Beck

Published podcast speaker

Claims
26
Episodes
2
Shows
1
Named items
0

Claim ledger

What Jeff said.

7 transcript-backed records

01 / evaluation

Geometric deep learning is a big part of like is a big part of the stack if for no other reason than when we talk about, like, modeling the physical world. That means, like, incorporating the symmetries that exist in the physical world.

“Geometric deep learning is a big part of like is a big part of the stack if for no other reason than when we talk about, like, modeling the physical world. That means, like, incorporating the symmetries that exist in the physical world.”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk

03 / evaluation

I like thinking about the distinction between an energy based model and a and a traditional sort of feed forward neural network has to do with where your cost function is applied, right?

“I like thinking about the distinction between an energy based model and a and a traditional sort of feed forward neural network has to do with where your cost function is applied, right?”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk

04 / evaluation

You've 1 of the things that's critical a critical aspect of the way we think about the world and the way we learn about the world is is that it's continual and it's interactivist.

“You've 1 of the things that's critical a critical aspect of the way we think about the world and the way we learn about the world is is that it's continual and it's interactivist.”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk

05 / evaluation

It's being used to track these sort of low level statistics that that we sometimes need, but don't always need. And so this is why I say that that, like, you know, when we say context matters, you know, you can think of that in terms of, we were able to flexibly switch between tasks, which means having a lot of resources and having a lot, you know, maintained and having them still be in good working order just in case we need them.

“It's being used to track these sort of low level statistics that that we sometimes need, but don't always need. And so this is why I say that that, like, you know, when we say context matters, you know, you can think of that in terms of, we were able to flexibly switch between tasks, which means having a lot of resources and having a lot, you know, maintained and having them still be in good working order just in case we need them.”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk

06 / evaluation

Now we have to like be super careful with our words. They're relatively optimal because they're not actually using a 100% of the information that the computer like your the visual information that you use, you don't use a 100% of the information that the computer provided you.

“Now we have to like be super careful with our words. They're relatively optimal because they're not actually using a 100% of the information that the computer like your the visual information that you use, you don't use a 100% of the information that the computer provided you.”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk

07 / evaluation

Certainly if you wanna have models that think the way we think. And that that got lost in the shuffle, and we're starting to see, you know, as as as we're starting to see the limitations and the faults and flaws of of of these approaches, and starting to see them not living up to the hype, which I think is like now it's standard that like like AGI is no longer I don't know if you read the other day, at least according to, you know, the experts in the field at the top of the best companies in the business, like AGI is no longer, like, a huge priority.

“Certainly if you wanna have models that think the way we think. And that that got lost in the shuffle, and we're starting to see, you know, as as as we're starting to see the limitations and the faults and flaws of of of these approaches, and starting to see them not living up to the hype, which I think is like now it's standard that like like AGI is no longer I don't know if you read the other day, at least according to, you know, the experts in the field at the top of the best companies in the business, like AGI is no longer, like, a huge priority.”
Speaker
Jeff Beck
Publisher
Machine Learning Street Talk
Search evidence