← All source episodes Machine Learning Street Talk / episode intelligence
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
21 May 2026 19 published claims 2 attributable people
Speakers in the public record
Claim mix
evaluation 7belief 5uncertainty 3preference 3recommendation 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
19 published records
“Physicists, for example, they they work very, low level and they talk about, you know, the the the dynamics of particle systems and and whatnot. And what I'm really fascinated in, I mean, you come at it from an economics perspective, which is traditionally dominated by this agential lens, and you talk about equilibria and incentives and and so on.”
- Publisher
- Machine Learning Street Talk
“Well, suppose another thing that doesn't help is that these these systems are like soup, and there's even a field called mechanistic interpretability that tries to kind of dig into the soup and and it's almost like they're they're searching for UFOs.”
- Publisher
- Machine Learning Street Talk
“Oh. And, you know, so we we learned about about the transductive confidence machine.”
- Publisher
- Machine Learning Street Talk
“I mean, I don't know what you think would be the thing that would make these folks update.”
- Publisher
- Machine Learning Street Talk
“You know, they'll just burn a lot of money and, you know, cause some headaches. And then they'll also create things like search engines and and I think a lot of the companies are also really focused on creating value.”
- Publisher
- Machine Learning Street Talk
“I think eventually we'll all kind of merge, but along the way, just doing something so disruptive with all of these metaphors that's not good social science or not good mathematics, It's just metaphors.”
- Publisher
- Machine Learning Street Talk
“You know, markets arose thousands of years ago and we learned about some of the principles, but we can improve them.”
- Publisher
- Machine Learning Street Talk
“I don't know who's got more money than who wants to bid more than others but I have this mechanism called an auction that reveals their value.”
- Publisher
- Machine Learning Street Talk
“Yeah, it's interesting because I agree that we live in this complex, adaptive, irreducible system.”
- Publisher
- Machine Learning Street Talk
“No one's going to want that. They're going to want, well, here's 50 people that are pretty much like you according to the embedding we're using in this big network.”
- Publisher
- Machine Learning Street Talk
“Well, what's happening there is that there's probably not many examples in the training set of proteins with quantum fluctuation because it's not been that studied in the past and it's hard to crystallize.”
- Publisher
- Machine Learning Street Talk
“It'll just solve problems for us, and then we're we'll be happy. And it it you know, I got away from Silicon Valley partly because that's just the way that people talk and I got tired of it.”
- Publisher
- Machine Learning Street Talk
“We've got to make that market a little bit more valid and we could actually have that when someone's watching things, they can have a some sort of economic connection to the person who made it and then there can be incentives flowing that this person now incentivized to make more because here's my audience.”
- Publisher
- Machine Learning Street Talk
“Another regular could look at that and say, well, I prefer this 1 because it's overall higher social welfare.”
- Publisher
- Machine Learning Street Talk
“Markets mitigate uncertainty. And they they don't do it because someone designed an optimal experiment design or ran or did some multi armed bandit, not directly.”
- Publisher
- Machine Learning Street Talk
“If you put a lot of people keep saying, well, we got to put logic back in or symbols because that came from the that came from our previous kind of view of what humans are doing. And probably humans are capable of doing some logical reasoning and probably have some symbols, whether they're kind of built in some complicated network or they're reified somehow, I don't know.”
- Publisher
- Machine Learning Street Talk
“We put all that together almost seamlessly. And then we do this in a social context where if I don't know how to get from here to the other side of town, I will ask someone who looks Danish.”
- Publisher
- Machine Learning Street Talk
“Alright? So, you know, Google doesn't need this because they created this artificial advertising market, which we could talk more about, that kind of super powered all this nonsense.”
- Publisher
- Machine Learning Street Talk
“So the current generation is just way too you know, there's not much thought going on, not much intellectual stuff. It's just, yeah, it's possible to build it, it's possible to steal the data from wherever you want to because that's what the Internet allowed to happen and not return any value to the person who originated the data.”
- Publisher
- Machine Learning Street Talk