High Signal Podcasts Evidence ledger
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Public evidence record

Gary Marcus

Published podcast speaker

Claims
39
Episodes
1
Shows
1
Named items
2

Books, apps, and tools

The evidenced stack.

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book / built

The Algebraic Mind

“I see a set of problems that a cognitive creature must solve, many of which I wrote in my 2,001 book, The Algebraic Mind.”

Machine Learning Street Talk · 24 Jun 2025

Evidence receipt · Source ↗

book / built

The Future of the Brain

“And it was in a book that I wrote called The Future of the Brain, which I guess we wrote in 02/2015.”

Machine Learning Street Talk · 24 Jun 2025

Evidence receipt · Source ↗

Claim ledger

What Gary said.

22 transcript-backed records

01 / belief

Think that's exactly what people like Sam and Dario are now hinting that they're gonna be able to do soon. I'm not really buying those claims, but I think that's what they wanna do now.

“Think that's exactly what people like Sam and Dario are now hinting that they're gonna be able to do soon. I'm not really buying those claims, but I think that's what they wanna do now.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

02 / belief

I hadn't played this variation either before, but it was obvious what to do. So it failed to identify what 3 in a row was, which I would say goes to a conceptual weakness like you should have had enough data to understand what 3 in a row was.

“I hadn't played this variation either before, but it was obvious what to do. So it failed to identify what 3 in a row was, which I would say goes to a conceptual weakness like you should have had enough data to understand what 3 in a row was.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

06 / belief

I mean, here's way to put it, is the AGI that I think we're afraid might be unconstrained or whatever, there really shouldn't be a lot of edge cases like that.

“I mean, here's way to put it, is the AGI that I think we're afraid might be unconstrained or whatever, there really shouldn't be a lot of edge cases like that.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

07 / belief

I think we are completely agreed that we're not doing a great job on the alignment problem and that we need to do much better and that there's a temporal dimension to that as you were just saying, which is like, you know, it's not great for humanity if we solve that problem in 200 years and we we have AGI or ASI, you know, in the next decade or 2.

“I think we are completely agreed that we're not doing a great job on the alignment problem and that we need to do much better and that there's a temporal dimension to that as you were just saying, which is like, you know, it's not great for humanity if we solve that problem in 200 years and we we have AGI or ASI, you know, in the next decade or 2.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

09 / belief

There's some differentiation in how people do their RL and what their data sets are, but I think there's not so much value in transparency until somebody has something that really is unique that they think other people aren't going to just reconstruct very rapidly.

“There's some differentiation in how people do their RL and what their data sets are, but I think there's not so much value in transparency until somebody has something that really is unique that they think other people aren't going to just reconstruct very rapidly.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

13 / belief

If you can have the neural networks reliably call the tools that they want or that they should be calling relative to the problem, I should say, then you're golden. I think empirically it is a bit hard to get the tools to work reliably.

“If you can have the neural networks reliably call the tools that they want or that they should be calling relative to the problem, I should say, then you're golden. I think empirically it is a bit hard to get the tools to work reliably.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

15 / belief

I think the 3 of us are maybe not known for agreeing on everything, but we actually have a lot of shared values around that, and I'm looking forward to the conversation.

“I think the 3 of us are maybe not known for agreeing on everything, but we actually have a lot of shared values around that, and I'm looking forward to the conversation.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

16 / belief

I think that the level of intelligence that you attribute to the machines towards the end of the essay I remember some of that actually happens after the year 2027.

“I think that the level of intelligence that you attribute to the machines towards the end of the essay I remember some of that actually happens after the year 2027.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

19 / belief

You can argue about that and and, you know, I I would say that like the weakest AGI would be it's as good as Joe Sixpack who's really not very good at reasoning, has is full of confirmation bias, has not gone to graduate school, doesn't have, you know, critical reasoning.

“You can argue about that and and, you know, I I would say that like the weakest AGI would be it's as good as Joe Sixpack who's really not very good at reasoning, has is full of confirmation bias, has not gone to graduate school, doesn't have, you know, critical reasoning.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk

20 / belief

Like I believe in my political party and so when my political party does dumb thing then I go and try to, you know, come up with a rationale for it.

“Like I believe in my political party and so when my political party does dumb thing then I go and try to, you know, come up with a rationale for it.”
Speaker
Gary Marcus
Publisher
Machine Learning Street Talk
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