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Machine Learning Street Talk / episode intelligence

Superintelligence Strategy (Dan Hendrycks)

14 Aug 2025 19 published claims 2 attributable people

Speakers in the public record

Claim mix

belief 8evaluation 7uncertainty 2prediction 2

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Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

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The useful parts, with receipts.

19 published records

01 / belief

Mean, first of all, it was really interesting that political and demographic biases would emerge as coherent utility functions. And I I do take umbrage with this word emergence because I think in the emergence literature, there is a little bit more nuance to how machine learning people use the words.

“Mean, first of all, it was really interesting that political and demographic biases would emerge as coherent utility functions. And I I do take umbrage with this word emergence because I think in the emergence literature, there is a little bit more nuance to how machine learning people use the words.”
Speaker
Tim Scarfe
Publisher
Machine Learning Street Talk

03 / belief

Another very interesting thing in your paper because when I think about AI risk in general, we we've thought about this a little bit on the show before, is in terms of, stability and destabilization and the relationship between offense and defense.

“Another very interesting thing in your paper because when I think about AI risk in general, we we've thought about this a little bit on the show before, is in terms of, stability and destabilization and the relationship between offense and defense.”
Speaker
Tim Scarfe
Publisher
Machine Learning Street Talk

04 / uncertainty

I mean, 1 thing I was thinking about is so certainly in in enigma about them, we're looking at multistep creative reasoning. And I don't know whether, again, there was some kind of human based methodology for filtering and coming up with ideas, or maybe your frame was, I have some technical principled intuition about what the limitations of AI models are, so I'm gonna lean in in that direction.

“I mean, 1 thing I was thinking about is so certainly in in enigma about them, we're looking at multistep creative reasoning. And I don't know whether, again, there was some kind of human based methodology for filtering and coming up with ideas, or maybe your frame was, I have some technical principled intuition about what the limitations of AI models are, so I'm gonna lean in in that direction.”
Speaker
Tim Scarfe
Publisher
Machine Learning Street Talk

06 / belief

I think we already have the AIs helping or influencing AI development in a recursive way of partly automating some code, helping design the chips, helping cool the power plants, helping label some of the data, doing the, you know, the constitutional AI related type of stuff.

“I think we already have the AIs helping or influencing AI development in a recursive way of partly automating some code, helping design the chips, helping cool the power plants, helping label some of the data, doing the, you know, the constitutional AI related type of stuff.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

07 / belief

I think you could certainly give them an under specified goal But I just don't think they could pursue that terribly coherently or, like, learn from experiments because they just have a big short term they they just have a short term memory of, like, maybe a million tokens.

“I think you could certainly give them an under specified goal But I just don't think they could pursue that terribly coherently or, like, learn from experiments because they just have a big short term they they just have a short term memory of, like, maybe a million tokens.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

08 / belief

The such projects would be sabotageable as well. So it's sort of I I think there's some key if you're saying, well, we'll have it just be an industry or something like that, well, then you're not gonna have good information security.

“The such projects would be sabotageable as well. So it's sort of I I think there's some key if you're saying, well, we'll have it just be an industry or something like that, well, then you're not gonna have good information security.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

10 / belief

I don't like shutting down debates entirely, but I think I'd postpone I I I would postpone a lot of these sorts of post For instance, this post human stuff and and I'm just sort of flailing about and speaking somewhat imprecisely just because I haven't spent as much time thinking about this in particular.

“I don't like shutting down debates entirely, but I think I'd postpone I I I would postpone a lot of these sorts of post For instance, this post human stuff and and I'm just sort of flailing about and speaking somewhat imprecisely just because I haven't spent as much time thinking about this in particular.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

11 / evaluation

So as as you've said, we use analogies like, electricity. And I think that's quite a good 1, because as as AI becomes enmeshed in into society, imagine how hard it would be to shut down a power station.

“So as as you've said, we use analogies like, electricity. And I think that's quite a good 1, because as as AI becomes enmeshed in into society, imagine how hard it would be to shut down a power station.”
Speaker
Tim Scarfe
Publisher
Machine Learning Street Talk

12 / evaluation

You're needing a lot more compute. And so your deployment capabilities, how many chips are owned by, say, US hyperscaler companies, Azure, AWS, etcetera, is a very relevant competitiveness variable because then are they able to serve the customers or not?

“You're needing a lot more compute. And so your deployment capabilities, how many chips are owned by, say, US hyperscaler companies, Azure, AWS, etcetera, is a very relevant competitiveness variable because then are they able to serve the customers or not?”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

13 / evaluation

I think on the I think, generally, I think the political problems, the incentives, the giving people things to do that are incentive payable is is where more of the value is at compared to on the technical side.

“I think on the I think, generally, I think the political problems, the incentives, the giving people things to do that are incentive payable is is where more of the value is at compared to on the technical side.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

14 / evaluation

It's guided by being useful. But I think that there's often niches that people aren't trying to bring clarity to or advance or think about from the perspective of AI being a very big deal.

“It's guided by being useful. But I think that there's often niches that people aren't trying to bring clarity to or advance or think about from the perspective of AI being a very big deal.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

15 / evaluation

If it's researchers and they're not being paid well, they're also going in the middle of nowhere in some place that has a big data center with a big target over it, because it's extremely visible from space, it gives off so much heat.

“If it's researchers and they're not being paid well, they're also going in the middle of nowhere in some place that has a big data center with a big target over it, because it's extremely visible from space, it gives off so much heat.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

16 / prediction

geable as well. So it's sort of I I think there's some key if you're saying, well, we'll have it just be an industry or something like that, well, then you're not gonna have good information security.

“geable as well. So it's sort of I I think there's some key if you're saying, well, we'll have it just be an industry or something like that, well, then you're not gonna have good information security.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

18 / evaluation

Because fortunately, they're not agents yet. So basically, all this research doesn't particularly matter, with the exception of, like, dual use expert level advice, because the agents aren't capable.

“Because fortunately, they're not agents yet. So basically, all this research doesn't particularly matter, with the exception of, like, dual use expert level advice, because the agents aren't capable.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk

19 / prediction

If they control it, if if another state does this, you're in big trouble because if they control it, they can weaponize against you. And if they don't control it, which I think would be the more likely outcome because they'd be doing it under extreme time pressures, cutting a lot of corners.

“If they control it, if if another state does this, you're in big trouble because if they control it, they can weaponize against you. And if they don't control it, which I think would be the more likely outcome because they'd be doing it under extreme time pressures, cutting a lot of corners.”
Speaker
Dan Hendrycks
Publisher
Machine Learning Street Talk
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