Gary Marcus

Founder & Executive Chairman, Robust AI · 2 appearances on the record.

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scientistauthoracademicfounderexecutive@garymarcus ↗garymarcus.com ↗Wikipedia ↗

Gary Marcus is a cognitive scientist and entrepreneur widely known for his critiques of large language model scaling limits and advocacy for neuro-symbolic hybrid architectures. He founded Geometric Intelligence, which was acquired by Uber in 2016, and Robust AI, and is the author of books including Rebooting AI and Taming Silicon Valley.

38statements → 13claims → 4claims resolved → 100%fully supported → 3.92/5average certainty → 3.03/5average debate potential → 4said about them ↓

4 supported 0 partly supported 0 contradicted 9 not checkable as stated how the 13 claims stand · each chip opens the sources

3 predictions · 10 assertions · 8 opinions · 16 insights · 1 disclosure · every statement was checked. The predictions and assertions are the 13 claims: statements the public record can support or contradict. 4 are resolved, and 9 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Gary argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Marcus: Teslas crashed into multiple emergency vehicles due to vision flaws
“It turns out that Teslas have a problem with stopped vehicles, mostly emergency vehicles, on the side of the road. So they have run into, in the last year, three fire trucks, a tow truck a police car, and so forth.”
Gary Marcus Sep 17, 2019 ▶ 2:13 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
100% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

295 words/min while actually speaking · 30.6 um and uh per 1k words

No argument clarity score for Gary Marcus: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 12,444 words across 2 episodes of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Gary Marcus said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion
Marcus challenges Andrew Ng: AI cannot automate every one-second mental task
“I don't think it's true at all, so there are some things that people can do in a second that AI can automate, and there are other things that it can't”
Gary Marcus Sep 17, 2019 ▶ 1:18 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Opinion
Marcus: Drivers should not trust Tesla Autopilot because AI remains unready
“So you should not be trusting a Tesla. Elon might get on 60 minutes and take his hands off the wheel, but you should not be doing the same because the technology is not really there yet.”
Gary Marcus Sep 17, 2019 ▶ 2:25 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Opinion
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.”
Gary Marcus Sep 17, 2019 ▶ 3:42 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Marcus: Deep learning models are giant correlation machines without causal understanding
“These systems are just giant correlation machines. They have no understanding of causation.”
Gary Marcus Sep 17, 2019 ▶ 12:56 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning cannot perform common sense, planning, analogy, or reasoning
“Perception is what deep learning does, and actually it only does a small part of perception. There's lots of parts of perception where we use our knowledge about the world that it doesn't capture. And then there are all these other things like common sense and…”
Gary Marcus Sep 17, 2019 ▶ 13:33 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning is a better ladder but cannot reach the moon
“Deep learning is a better ladder for sure, but a better ladder doesn't necessarily get you to the moon.”
Gary Marcus Sep 17, 2019 ▶ 19:27 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Opinion
Marcus: Siri's technology is not fundamentally different from ELIZA
“But the technology for Siri is not really that different from the technology for ELISA, and Siri is still very far from artificial general intelligence.”
Gary Marcus Jan 25, 2016 ▶ 1:15 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Opinion
Marcus: Deep learning alone won't solve common-sense AI without symbolic systems
“Deep learning doesn't seem to be getting us there. The old systems, in some ways, we're better at that. We do need a marriage between the two.”
Gary Marcus Jan 25, 2016 ▶ 22:18 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Supported
Marcus: Teslas crashed into multiple emergency vehicles due to vision flaws
“It turns out that Teslas have a problem with stopped vehicles, mostly emergency vehicles, on the side of the road. So they have run into, in the last year, three fire trucks, a tow truck a police car, and so forth.”
Gary Marcus Sep 17, 2019 ▶ 2:13 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning requires vast data, quick tasks, and stable domains
“If a typical person can do a mental task with less than one second of thought, and we can gather an enormous amount of data, of directly relevant data, we have a fighting chance. So long as the test data aren't too terribly different from the training data, an…”
Gary Marcus Sep 17, 2019 ▶ 5:59 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning models lack understanding of spatial relationships and silhouettes
“Deep learning doesn't even really fully understand the relations between parts and wholes. It certainly doesn't understand what a silhouette is, and it gets it wrong.”
Gary Marcus Sep 17, 2019 ▶ 7:35 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning systems cannot perform compositionality or combine separate ideas
“Deep learning can't do what we call compositionality. It can't put ideas together.”
Gary Marcus Sep 17, 2019 ▶ 8:39 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Opinion
Marcus: Deep learning fails at reading comprehension and misses the point
“I think that deep learning doesn't just fail on reading. It completely, entirely misses the point.”
Gary Marcus Sep 17, 2019 ▶ 9:50 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: General AI requires hybrid models because cognition has distinct components
“There are a lot of different components to cognition, and so we have to have a hybrid model. There's just no way that one system is going to do all of these different things”
Gary Marcus Sep 17, 2019 ▶ 26:38 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Prediction Not checkable as stated
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.”
Gary Marcus Sep 17, 2019 ▶ 35:15 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Opinion
Marcus: Current AI systems are fundamentally a collection of idiot savants
“AI is still basically a collection of idiot savants.”
Gary Marcus Jan 25, 2016 ▶ 2:56 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Opinion
Marcus: AI is stuck due to over-reliance on statistics and big data
“And I have a three-part diagnosis, which is that it's fallen in love with statistics, it's fallen in love with big data, and it's forgotten its roots.”
Gary Marcus Jan 25, 2016 ▶ 4:57 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: Reinforcement learning fails in physical robotics due to real-world damage costs
“But it's another thing if you import those same techniques into robots. If you have your robots doing reinforcement learning, which is basically trial and error learning, they start knocking over the furniture a 100,000 times, you're probably gonna send it bac…”
Gary Marcus Jan 25, 2016 ▶ 14:25 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Prediction Not checkable as stated
Marcus: AI progress will be gradual, not a sudden explosion
“I don't think there's going to be like one special day with this big explosion. They're going to get better and better. It's going to take a while.”
Gary Marcus Jan 25, 2016 ▶ 18:55 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: Deep learning achievements are limited to perceptual classification
“These successes are examples of one thing. They're all examples of what a cognitive psychologist would call perceptual classification, and that's part of what we do as intelligent human beings, but it's not all that we do.”
Gary Marcus Sep 17, 2019 ▶ 5:17 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Deep learning relies primarily on texture, not shape, for recognition
“Deep learning, it mostly cares about texture.”
Gary Marcus Sep 17, 2019 ▶ 8:04 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: Building human-level AI requires studying cognitive development in children
“If we want to build machines that are as smart as people, we should start by studying small people.”
Gary Marcus Sep 17, 2019 ▶ 19:35 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Prediction Not checkable as stated
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.”
Gary Marcus Sep 17, 2019 ▶ 33:03 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Assertion Supported
Marcus: Autonomous driverless cars can drive in Palo Alto but not Manhattan
“In fact, they can drive in Palo Alto, but they can't drive in Manhattan.”
Gary Marcus Jan 25, 2016 ▶ 2:48 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)

Show 14statements(14 left)

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Appearances (2)

EpisodeDateSpeaking time
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC) Sep 17, 2019 31m
Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Ca Jan 25, 2016 19m
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