Adam Becker

Things Adam Says on Podcasts

An astrophysicist turned science writer, Adam Becker's beat is pushing back on tech industry claims about AI and the future. His book More Everything Forever argues that superintelligence and space colonization are further away, and less inevitable, than Silicon Valley says, following an earlier book on the foundations of quantum physics. He appears on Machine Learning Street Talk pressing on AI hallucination and long-range extrapolation, and runs his own podcast, Dreaming Against the Machine, interviewing guests about what a realistic good future looks like. He has written for the New York Times, the BBC, NPR, and Scientific American.

Where to Find Them

Adam Becker writes StarTalk Radio . They have also been a guest on Better Offline (3 times) , Into the Impossible With Brian Keating (3 times) , Machine Learning Street Talk , Radical Candor: Communication at Work , Taylor Lorenz’s Power User , On with Kara Swisher , The Future, Now and Then , Mystery AI Hype Theater 3000 , The Chris Voss Show and Skeptics Guide to the Universe . They also write for Adam Becker on Substack.

Recently: “Stopping The AI Safety Cult ft. Adam Becker & Cal Newport” on Better Offline (September 2026); “Every Exponential Ends — Silicon Valley Forgot — Adam Becker” on Machine Learning Street Talk (August 2026); “No One Is Going to Mars: A Physicist Debunks Elon Musk's Mars Fantasy w/ Adam Becker” on Taylor Lorenz’s Power User (July 2026); “More, Everything, Forever With Adam Becker” on Better Offline (April 2026); “Data Centers in Space!? (with Dr. Adam Becker), 2026.03.02” on Mystery AI Hype Theater 3000 (March 2026); “AI Gods, Space Empires, and the Stories Tech Uses to Justify Power with Adam Becker 8|3” on Radical Candor: Communication at Work (February 2026).

What They Said

“My main problem with the word hallucination is it implies that when a hallucination occurs, something different is happening than its normal functioning.” — Adam Becker, Machine Learning Street Talk

Tim Scarfe had put the scaling case to him: that needing human supervision is a temporary limitation rather than a permanent one. Becker's answer is that these systems will always require supervision because hallucination is not a defect sitting on top of normal operation — it is normal operation, producing an unwanted result. He says he doesn't love the word for exactly that reason.

Machine Learning Street Talk · 2026-08-20 Permalink → Listen →
Machine Learning Street Talk Around 28:08 into the episode
Adam Becker

…is quite deceptive. And I think I, in terms of how to make sense of it, I think we just have to keep in mind what these systems are at the end of the day. They are for predicting the next word or whatever in the sequence that they've been given. And it turns out you can get pretty far doing that.

Tim Scarfe

…have to kind of, and it's very dangerous keeping going because now we're messing all of our code bases up and we're creating all of this slop everywhere. But just hold on, boys, just wait for a couple of years and the next version will kind of bring it back in check. What do you think about that?

Adam Becker

…because they are always going to end up hallucinating. You know, I mean, that's inherent to the way that they work. I say this in the book, but, you know, I don't love the word hallucinate. I know there's been a lot of pushback because it's like, oh, hallucination implies a sort of anthropomorphization of these systems. And I don't love that either, but that's actually not my main problem. My main problem with the word hallucination is it implies that when a hallucination occurs, something different is happening than its normal functioning. And that's not the case. They really only do one thing. And when they're hallucinating, they're doing the same thing that they're doing when they get it right. And so I think that unless we have some sort of major, major breakthrough, and I mean, it would probably have to be a breakthrough that makes, you know, LLMs themselves look like ELISA. You know, short of that kind of really fundamental…

Tim Scarfe

know. And ironically, people aren't really talking much about the hallucination now because they're agentic and they can fix their own stuff. You know, it's more like, you know, if you analogize it like a database query or a program interpreter, it's only as good as the program or the database…

Adam Becker

I mean, first of all, he didn't say one or two. He actually said zero to two. He's not sure that we need any. But yeah, I mean, why did he say that? I mean, you should ask him. But he believes in something like a singularity. He believes that if you just throw enough computing power at a machine…

Tim Scarfe

Can we unpack this a little bit? So, you were speaking there a little bit about instrumental convergence, which is this idea that basically its instrumental sub-goals towards whatever it's doing will kind of converge on things like power seeking and bad things that we don't want. So, it's always…

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“the one thing that you can always say about any exponential trend, the one thing that's always true, is that they end.” — Adam Becker, Machine Learning Street Talk

Becker had been taking apart Ray Kurzweil's extrapolation of Moore's Law into a general law of history. The host had just raised the lily-pad image — a pond covered exponentially until suddenly there is no pond left to cover — and this is Becker's flat version of the objection. He goes on to note that Kurzweil's own curve quietly ignores the early history of computing, where the trend did not hold.

Machine Learning Street Talk · 2026-08-20 Permalink → Listen →
Machine Learning Street Talk Around 12:03 into the episode
Adam Becker

…clearer view of what's been happening in the recent past. And then the more distant past is more distant. And so you can't see it as well. And so you end up with this sort of, you know, logarithmic view of the past that is something that I think Kurzweil is mistaking for a true exponential trend.

Tim Scarfe

…know, things that might have been more globally important to our success. And then he kind of fitted it on a graph. And this isn't just this is a very natural thing, right? The world is complicated. And to make it make sense, we kind of select things that privilege the way we think about the world.

Adam Becker

…top of a skyscraper, right? You see the stuff closer to you more clearly, and the stuff that's further away and less directly impacting you is smaller and farther away and harder to see. But yeah, I mean, it's a natural mistake. And also, like many other people, and as you were alluding to with the lily pad example that I was talking about in the book that I pulled from Kurzweil, he forgets that the one thing that you can always say about any exponential trend, the one thing that's always true, is that they end. You know, yeah, he has the lily pad example to give an idea of how exponential growth works. He says, you know, if the lily pads double every day and on day 29, they cover one half of the pond. Well, then on day 30, the pond is full. I'm like, yeah, and then on day 31, the lily pads don't grow anymore because they filled the pond. There's no more pond. And even Gordon Moore himself said, oh…

Tim Scarfe

But I suppose it is a bit of a straw man just to make the sigmoid case. So what they would say is that the actual exponential curve is the stacking of sigmoids. And in technology, whether it's Betamax or whether it's film processing technology, what tends to happen is you get these disruptions. So…

Adam Becker

Yeah, yeah, yeah, yeah. No, that's exactly what Kurzweil says. He says, you know, the exponential trend is itself made by a bunch of sigmoid curves and each curve lets you get further up the overall exponential trend. Sure, yes, he does say that. But as I say in the book, there is absolutely no…

Tim Scarfe

Yes, but there does seem to be an obsession with infinity and keeping going. I mean, you gave another wonderful example of Jeff Bezos. And apparently he said he was very, very scared of stasis. So for him, death is the lack of growth, right? Yeah. And there's a wonderful bit in your book, Wait…

Speaker names from our own diarization · position estimated from where the line sits in the episode

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