Gary Marcus
person on 6 shows · 13 statements across 6 episodes · said 61 times in 22 episodes since 2018
TBPN 37 
Big Technology 14 
the MAD Podcast 4 
Another Podcast 3 
All-In 2 
Capital Allocators 1
On the record as a speaker too: Gary Marcus across every show, appearances and statements → this page counts the times other people say the name.
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TBPN 37Big Technology 14the MAD Podcast 4Another Podcast 3All-In 2Capital Allocators 1
2026 13 mentions in 6 episodes 2 per episode
- OpenAI’s User Growth Miss, Musk vs. Altman In Court, Prediction Market Ban
- SpaceX S-1, Anthropic Revenue Booms, OpenAI Cracks Erdős Problem | Diet TBPN
- Hank Green Faces AI Backlash, OpenAI Math Advances, Million-Dollar Solo Firms | Diet TBPN
- SpaceX’s IPO Triumph, Anthropic’s Fable Fumble, OpenAI’s Price War
- AI Pioneer Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
- AI Backlash Intensifies, Nvidia GTC Preview, Meta’s Embarrassing Delay
- every mention in 2026, scene by scene →
2025 36 mentions in 8 episodes 5 per episode
- Weekly Recap: Casey Neistat, OpenAI Cracks Math, The Future of ChatGPT, Apple x F1, Intel Layoffs
- OpenAI Just Cracked the World’s Toughest Math Challenge — Here's How
- Mike Knoop (Arc Prize) on Why Scaling AI Won’t Get Us to AGI
- Are AI's Economics Unsustainable? — With Ed Zitron
- Weekly Recap - Elon Vs Trump, Ukraine's Drone Attack, Cluely Update & OpenAI CRO
- Sam Altman’s Gentle Singularity, Zuck’s AI Power Play, Burning Of The Waymos
- The ‘AI-First Company,’ Big Tech Mega Earnings, NVIDIA vs. Anthropic
- Is Anthropic’s Claude AI Conscious, Shopping in ChatGPT, Systrom vs. Zuck
- every mention in 2025, scene by scene →
2024 3 mentions in 2 episodes 2 per episode
2023 5 mentions in 4 episodes 1 per episode
2019 3 mentions in 1 episode
2018 1 mention in 1 episode
every mention on every show, scene by scene, with the transcript →
13 statements about Gary Marcus, every show
Marcus: Models like o1 are not systematically better than GPT-4
“Models like O-I are not systematically better than GPT-IV. There's, they're better in certain use cases. Especially ones where you can create data in advance.”
Marcus: 'Reasoning' AI models only mimic patterns without genuine abstractions
“Now, the reason I wouldn't call them reasoning models, though you're right that many people do, is what I think they're doing is basically copying patterns of human reasoning. They're getting data about how humans reason certain things, but the depth of reason…”
Marcus: AI scaling laws are no longer true
“So the scaling quote laws were empirical guesses about how these models work and they were true for a little while, which was amazing. And they're not true anymore, which is also amazing in a way.”
Marcus: Very interested in raising venture capital for neurosymbolic AI
“I'm very interested in that. Let's put it that way.”
Knoop: Gary Marcus has been more right than wrong on deep learning
“I generally think he's been more right than wrong. I think if you like just take a limited five year view on this from 20, 20 up until 20, 20, end of 20, 24, you know, I think it was a generally right. Like he was making the right ideas.”
Marcus: AI is not close to fooling experts in hour-long conversations
“Well, I don't think we're that close to a system that's going to be able to, you know, if I have an hour with it, let's say just to be conservative. I don't think we're that close to a victory there.”
Marcus: Current AI is a dress rehearsal showing we are not ready for AGI
“I, I've been thinking about this whole thing as a dress rehearsal. And before we didn't know how to make a dress rehearsal. This is a dress rehearsal for AGI. And you know, the lesson of the dress rehearsal is like, we are not ready for prime time. Let us not …”
Marcus: Building sentient machines is possible, but we do not know how
“I am in no way arguing that it is not possible to build a sentient machine. I don't think we know how to do it, and I don't think we're clear enough on what it would consist of, but I'm not making the argument that it's impossible.”
Marcus: Future AGI systems will require internal world models
“So I'm pretty confident that we'll have models of the world, internal ideas about how the world works. I don't see how to build an AI without it.”
Marcus: Current AI techniques are too brittle to earn public trust
“Most of why I don't think we should trust AI right now is that the current techniques that people are using are simply too brittle to earn the trust that we're giving them.”
Marcus predicts deeply neurally inspired AI models are 50 years away
“50 years from now, we will know how to build really deeply neurally inspired models, but right now we have to settle for cognitive science, for psychology, linguistics, fields like that, where we can actually get some insight now before we unravel the brain.”
Marcus predicts AI developers will increasingly adopt hybrid models in secret
“I suspect that what will actually happen is that people will start to incorporate hybrid models and not call them that.”