Machine Learning Street Talk / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
36 published records
01 / preference
“Right? And so I think because in many respects, like so I work with a few AIs, but I love OpenAI's product suite.”
02 / commitment
“Machines at that level of intelligence, we will discover grander purposes for us than we could ever hope.”
03 / belief
“I think that even though there's this grounding problem, there are many things in the world that can be abstracted and essentialized and we could have this constructive form of understanding, you know, that goes several levels deep.”
04 / belief
“The transformer part is true, but just calling it a large language model, I think cuts it all short of a huge fraction of its capability.”
05 / belief
“I think he's a fucking real life hero and most people just don't appreciate it because most of us in the modern West don't know how far the evil rabbit hole really goes.”
06 / belief
“Obviously, that's for, like, reasonings to not get sued and things like that. But, again, I think that is absolutely fine that people are going to it because it's gonna say that.”
07 / belief
“I think that we know our own bodies better than anyone, and we know how our bodies are reacting.”
08 / belief
“Maybe it just wasn't that hard of a thing to do in the first place. But I think in the case of machine learning, we really need to give credit where it's due here that nobody knew that these superficial statistical regularities have an insane amount of generalization.”
09 / commitment
“I can and I will. Watch this. If you have a simulation of a stomach, particle by particle, and you get a simulation of food particles through the stomach, it will digest that simulation.”
10 / belief
“GPT 5 Pro, I would trust its opinion about the real world more than I would trust most people's opinion often including my own. And I think we're about 1 or 2 big model releases away from machines that make unaided human thought the same thing as a vibing your way to a location in London without checking Google Maps.”
11 / disagreement
“We passed the Turing test And we do not have Turing himself, he said that when we passed the Turing test, which is a behaviorist notion of intelligence, something obviously I disagree with, you need to know something about the mechanism.”
12 / belief
“Although compute cost has fallen about 300 x in the last year or 2 or something and that that's that's a bottomless pit of compute fall that's gonna keep going. So I think that we're giving humans needed credit for doing pretty impressive operations on long time horizons with both pinging a network for vibes, logically operating and kind of dissecting those vibes, re pinging the network with your best new understanding and going.”
13 / belief
“If anything, I think that there is more opportunity now for people to work to fix all of the shit which is generated from language models because it's it's mostly garbage.”
14 / belief
“If you had that in the cloud, like full 3 d scan, and then run the system, I would say you have 100% of the intelligence in the cloud.”
15 / belief
“I think that there are principled reasons why we don't need to worry about superintelligence and recursive self improvement.”
16 / belief
“I think we are 50 times more likely, infinity times more likely, whatever, a lot times more likely to be bathed in so much love and support by the machine intelligence rather than bathed in blood and death by a long shot.”
17 / evaluation
“Think of how that's a problem real quick. It doesn't matter. It's a problem somehow.”
18 / belief
“I have a very unique take. I think ASI is coming in 2627 and AGI is coming in 2930 maybe '31.”
19 / belief
“I think the only way we mitigate that problem is having agents and architectures organizations that are smarter than those agents and can outplay them.”
20 / belief
“We track with those course gradings, but not exactly. I think there's something much deeper than that.”
21 / belief
“I think ASI is that way, if and you track behavior, you get like more understanding of everything, preservation of deep complexity, like machines are gonna wanna study shit.”
22 / belief
“You know the people that like way over not overshare, but they're like, here's my experience with semaglutide.”
23 / uncertainty
“We we have to abstract like 18 layers and do quantum mechanics that none of us are, I don't know, you're probably smart enough to get it.”
24 / evaluation
“You you can't seriously tell me that if you simulate fire using a computer program that that the computer would get hot or that you would get hot. It it just doesn't work like that.”
25 / belief
“Oh, yeah. And I'm glad that I think you're implicitly agreeing there that I look at today's architecture.”
26 / disagreement
“I mean as before I disagree with the mind uploading thing but I I think there's something to what you're saying that when you look at humans now, we are mostly good.”
27 / prediction
“1, those models when they achieve true deep understanding of the world, which they will in my opinion by 20 thirties and then they'll know way more about the world than us, they'll have deeper agency than us, they'll have a deeper self awareness than we will.”
28 / prediction
“Am I right? So so in in in many respects, I think in 2026, we are going to see AI systems that 10 x or 100 x human abilities or 2 x or anything between that.”
29 / evaluation
“I suspect that if you let a neural network train on all of YouTube, which I understand isn't happening because there's like copyright bullshit, which drives me insane.”
30 / prediction
“I think by around 2030, we'll be there with every human capability, which also means with many human capabilities and many non human capabilities, we will be so far beyond that, I'll say this, the transformational change to society will be massive by the late 20 twenties.”
31 / prediction
“It's going to recursively re architect itself and start expanding into all of the domains of intelligence we don't know anything about. And then we will see really what intelligence is and just to use that really quick just by analogy, like if wolves could talk and even abstract, which they can't, but let's give them 2 magical abilities, they would pick like the smartest wolf in their wolf pack and be like, you know, Bob the wolf.”
32 / commitment
“I think what you and I are gonna crack into which we probably couldn't discuss on a podcast, we'd have to sit down and draw things out together, is a mutually agreed upon complete definition of what understanding means.”
33 / evaluation
“It does a great job of at least giving you things to think about. But I will say, know, I think prompting guides are like being a zip disk expert in the nineties.”
34 / evaluation
“Knowledge decays very, very quickly. And that's actually a good thing because it's the way that we can adapt our strategies because things that don't work die off.”
35 / prediction
“I don't want that. And it's gonna do that and then so by the time it finishes doing that in 2045, it doesn't need to kill anyone because all the humans are fused with the machine intellect and everyone's vibing a ton.”
36 / evaluation
“And we'll move to the next level of our evolution. And in a sense, I think, even though I don't agree with it, because I think even with Neuralink, there's bandwidth problems.”