High Signal Podcasts Evidence ledger
Method
Browse
How the evidence works

Public evidence record

Cristopher Moore

Published podcast speaker

Claims
20
Episodes
1
Shows
1
Named items
0

Claim ledger

What Cristopher said.

3 transcript-backed records

01 / prediction

And so I don't know. This this to me is a really interesting frontier for AI where you take the problem and you invent on the fly what the what kind of variable you should use to address the problem.

“And so I don't know. This this to me is a really interesting frontier for AI where you take the problem and you invent on the fly what the what kind of variable you should use to address the problem.”
Publisher
Machine Learning Street Talk

02 / prediction

Then there can also be these interesting middle ranges where you can find the ground truth if you do an exhaustive search. But we actually believe that there is no efficient algorithm that will succeed in that regime because you're wandering around in this high dimensional landscape of possible fits to the data, and the accurate ones are kind of hidden behind what in physics we call an energy barrier.

“Then there can also be these interesting middle ranges where you can find the ground truth if you do an exhaustive search. But we actually believe that there is no efficient algorithm that will succeed in that regime because you're wandering around in this high dimensional landscape of possible fits to the data, and the accurate ones are kind of hidden behind what in physics we call an energy barrier.”
Publisher
Machine Learning Street Talk

03 / prediction

If I want to know how some function behaves, I graph it and look at it. And I think once LLMs are given these various playgrounds and given the ability to fire them up to do literally doodle and look at it in a 2 dimensional way, the way we can with our eyes, as opposed to treating everything as 1 dimensional strings of text, I expect that we'll see much more multimodal abilities.

“If I want to know how some function behaves, I graph it and look at it. And I think once LLMs are given these various playgrounds and given the ability to fire them up to do literally doodle and look at it in a 2 dimensional way, the way we can with our eyes, as opposed to treating everything as 1 dimensional strings of text, I expect that we'll see much more multimodal abilities.”
Publisher
Machine Learning Street Talk
Search evidence