Evidence receipt / belief
Published · transcript-backedMichael I. Jordan: belief
21 May 2026 Machine Learning Street Talk Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
“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.”
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Everything needed to verify it.
- Speaker
- Michael I. Jordan
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- Verified speaker
- Claim type
- belief
- Recorded
- 21 May 2026
- Publisher
- Machine Learning Street Talk
Transcript context
…Yeah. So this idea that culture is the abstraction hard drive in the sky. And the culture is very adaptable, so we can delete strategy. I mean, knowledge decays very quickly and organizations maintain knowledge, and really good bits of knowledge stay around for a long time, and, you know, down at the bottom up, we're creating new bits of knowledge. So how does that whole ecosystem work? How do we kind of designate good things that stick around and how do we find new bits? We don't. You and me the answer is you and me don't. But that's something that good intellectuals do. That's what economics like there's a whole field of behavioral organization or how do organizations effectively emerge. And that's really interesting. It's not everything, but there's a lot known there. And some of it's mathematical, some of it's not, some of it's best practices. But those are the kind of ways that these AI ecosystems should be talked about, not just in terms of neuroscience and metaphors of the neurons and physics metaphors and all the stuff. It was part of my heritage too. But it just felt so lacking when we actually see these things, the rubber hitting the road, as you say. And so, behavioral organization, how people are organized into things that promote, you know, not only good revenue for companies, but also promote democracy and so on. So there are people who talk about all these things and I just don't think they seem to have much presence in Silicon Valley. And maybe that's for good. You know, Silicon Valley let them go. 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. I do think Amazon is different from Meta. Amazon has got a business model, bring packages to doors. And behind that, they create some technology to support that and it's mostly to the good, in my view. You have to worry about labor markets and so on and so forth, but those are all good things to worry about. But just creating computational artifacts that make predictions and that if you were to wear goggles, you would be able to live in their world, it's not a business model. It's science fiction dream that that may or not be may not be helpful for humanity. Well, can we explore that? Because you gave the example of Spotify. So, you know, we were talking about this 3 layer thing before and and now we've got this weird incentive structure where Spotify are actually incentivized to generate the songs with with AI. Right?…
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