Telling ambitious young technologists that AI will either produce a superintelligent utopia or wipe out humanity — with nothing in between — is a demoralizing false dichotomy that ignores the real, positive work still to be done.
Jordan argues that thought leaders framing AI's future purely as 'superintelligence vs. extinction' demoralize young people who want to build genuinely useful technology, and that this framing is a false binary. ✦ AI generated
Michael I. Jordan · Machine Learning Street Talk · 2026-05-20 · original ↗
starts at this moment · 48:57
“You've butted up against folks like Jeffrey Hinton and Stuart Russell at Berkeley and these guys are painting a picture that this technology is recursively self-improving, that it is agential, that it's not a cultural technology, it's a thing in of itself — this seems a little bit science fiction on the first read. What do you think?”
These young folks of whom there are huge numbers are excited about technology and they want to build things that help their family and help their country. Actually, more of their family than their country, honestly. And they they they see real opportunities in doing that and they're kind of being told by the leaders, well, we had our fun. We developed a bunch of algorithms.
verbatim transcript · starts at 48:57
48:57voices, it's really hurting 25 and 20 year olds. You know, these these young folks of whom there are huge numbers are excited about technology and they want to build things that help their family and help their country. Actually, more of their family than their country, honestly. And they they they see real opportunities in doing that and they're kind of being told by the leaders, well, we had our fun. We developed a bunch of
49:19algorithms. We we did it and we were just interested in the pure, you know, understand intelligence. even though they didn't understand intelligence, they built, you know, gradient descent algorithms. Um, and now you guys, you can't do this because it's dangerous. It's going to it's going to wipe out humanity with a with a high probability or it's super intelligent arrive soon, so there's nothing left to do. That's in your
49:39lifetime. That is so demoralizing. So demoralizing. And that thing I think that bothers me the most. I mean, the second part that bothers me is there's no economic thinking going on there. It's zero. It's really about uh cognitive science mentality or neuroscience. We figured out how the brain works. It's gradient descent with a lot of distributed neurons and the the fact that these LMS are working so well
50:04shows that we figured it out. It wouldn't work so well otherwise. Well, I think that's dubious. We don't the brain is way beyond I mean you ask a neuroscience if this has anything to do with the brain basically they'll say no. It's a nice metaphor. It's cartoon. Uh does gradient descent work at massive scale? Yeah, more than we would have ever imagined. Um but is it showing its
50:23uh weaknesses? Yeah. Can it be fixed certain areas? Yeah. You know, you build certain verticals, they'll do good things and uh it'll make mathematicians go faster, but it won't put them out of business and so on. Um it's having a big effect on society. I worry worry more about labor and capital relationships than I worry about it deciding to take over. Um so the rest of it that that to me is more on the ground
50:49sort of you know how does uh a young the next generation take technology and work with it and I don't think that voices like that are actually helping that tech that that that uh generation to actually perceive what they should work on and why. Um super intelligence versus extinction. Those are your two options. Um and god damn it those aren't the only two options. there's a huge number of very
- ·Ambitious young technologists are told AI's only outcomes are utopia or extinction
- ·This false dichotomy ignores the positive work still to be done
- ·Framing demoralizes those who want to build useful, practical technology
- ·Young people are excited to build tools that help their families and communities
- ·Thought leaders signal 'we had our fun' — dismissing further practical innovation
- ·A middle path of incremental, human-centered AI work is being erased