Learning Algorithm
topic on 4 shows · 6 statements across 4 episodes
the Knowledge Project 
Latent Space 
Lenny's Podcast 
the a16z Podcast
6 statements about Learning Algorithm, every show
Bach: Consciousness may be a basic algorithm for creating internal coherence
“Consciousness might be a very basic learning algorithm, an algorithm that is basically focused on creating coherence, and it starts out by creating coherence within itself.”
Generative AI will favor scale as larger training datasets produce better models
“And when the new generative AI, we have the possibility of stronger effects than we've ever seen before. But we don't know yet. But the suspicion is that size is going to matter. That the size of the data that you could put into the learning algorithm is going…”
Chen: Autonomous Vehicles Will Automatically Learn Local City Driving Conventions
“And so the car manufacturers wouldn't have to create 300 versions, one for each city. They would ship it with learning algorithms that could learn the driving conventions of that city.”
Domingos: Understanding Learning Algorithms Differs From Understanding Their Output Models
“Having said that, you know, we, the machine learning researchers and the data scientists, we actually have a good understanding of how the learning algorithm itself works. You know, what is it that it does to learn, and how could you make it learn better? And …”
Domingos: Machine Learning Algorithms Will Get Better at Explaining Themselves
“I think what's going to happen is that partly the learning algorithms are going to have better, to get better at explaining to people what they're doing.”
Domingos: Machine Learning Algorithms Do Not Have to Be Black Boxes
“Actually, the learning algorithms don't have to be black boxes. There's actually no reason why I shouldn't be able to say to the Amazon recommender system, why did you recommend that book to me? Or, you know, I just bought a watch. Please don't recommend more …”