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Gary Marcus

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

computed by AI from the episodes · how this works → · full disclaimer →

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 →

Assertion Not checkable as stated
Marcus: AI has made little progress toward strategic general game players
“There's still been very little progress in building a general game player that can play games that require strategy or insight, complex three-dimensional graphics.”
Gary Marcus Jan 25, 2016 ▶ 3:45 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Marcus: AI is not close to achieving strong, human-level intelligence
“But we're not there yet. We're not even close.”
Gary Marcus Jan 25, 2016 ▶ 4:10 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Google's Peter Norvig estimated strong AI is worth up to $2T annually
“I asked Peter Norvik, who at the time was director of research at Google I said, you know, how much money would it really be worth if you could have strong AI? And he wrote back about five minutes later, I'm suddenly a much louder, I think. And estimated somet…”
Gary Marcus Jan 25, 2016 ▶ 4:20 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: Deep learning models struggle with low-frequency edge cases
“People get very excited every time there's a new deep learning result. But it's always the case of doing better on the high frequency data than the low frequency data.”
Gary Marcus Jan 25, 2016 ▶ 8:04 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: AI researchers should look to child cognitive development for AGI clues
“So, where I think we should start looking for clues, in a nutshell, is children.”
Gary Marcus Jan 25, 2016 ▶ 9:17 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: Information retrieval fails at state updates that human-level AI requires
“If you have human-level intelligence, you can make sense of that, but if you just memorize stuff off the web and do information retrieval, you could actually get stuck there.”
Gary Marcus Jan 25, 2016 ▶ 10:25 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Gary Marcus: No great machine learning technique exists for natural language
“And so, as a result, there is no great machine learning technique in natural language.”
Gary Marcus Jan 25, 2016 ▶ 12:24 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Supported
Marcus: Facebook M relies mostly on human operators rather than AI
“Facebook's new M service, which they have not rolled out at scale has humans on the back end. There's a little bit of AI in there, but it's mostly, ah, human beings, which is why they haven't rolled it out for a billion customers. They don't have enough human …”
Gary Marcus Jan 25, 2016 ▶ 15:59 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Disclosure
Marcus: Robust AI was formed to add common sense to robotics
“And, in fact, the point of the company that we formed is to add common sense, which the Roomba lacks.”
Gary Marcus Sep 17, 2019 ▶ 15:49 Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
Insight
Marcus: In AI, we wanted Rosie the Robot but got Roomba
“We wanted Rosie the robot, and instead we got Roomba.”
Gary Marcus Jan 25, 2016 ▶ 1:32 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Marcus: Deep learning vision errors are not human-like and resemble hallucinations
“So when you start to look at the errors that these things make, they're not human-like errors, and again, they seem almost like hallucinations.”
Gary Marcus Jan 25, 2016 ▶ 8:47 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Gary Marcus: Financial markets are fundamentally a sparse data problem
“Finance is really fundamentally a sparse data problem because The financial markets aren't stationary.”
Gary Marcus Jan 25, 2016 ▶ 13:15 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Assertion Supported
Marcus: DeepMind's deep RL required millions of data points per game
“This is what DeepMind used in their systems, and they used a version called deep reinforcement learning. And what they did is they collected billions or, you know, probably millions of data points for each game.”
Gary Marcus Jan 25, 2016 ▶ 14:02 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Insight
Marcus: Symbolic AI handles abstract knowledge, while machine learning learns faster
“So the old traditions are much better at dealing with abstract knowledge The new traditions are much better at learning things quickly.”
Gary Marcus Jan 25, 2016 ▶ 20:02 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)

The other half of the tape: Gary Marcus's own voice is left out of every number here. Other people bring the name up 4 times in 2 episodes on the MAD Podcast. every mention, with the transcript →

Who brings them up most George Davis 3Matt Turck 1

Every mention by year

tap a year for its mentions
00213120192020202120222023episodesmentions
01120192020202120222023episodes it came up in
001.50.53120192020202120222023episodesmentions per episode
2023 1 mention in 1 episode
2019 3 mentions in 1 episode

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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