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Dileep George

Head of AI, Astera Institute · 1 appearance on the record.

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

scientistfounderexecutiveengineer@dileeplearning ↗LinkedIn ↗dileepgeorge.com ↗Wikipedia ↗

Dileep George is an AI researcher and neuroscientist serving as Head of AI at Astera Institute. He co-founded Numenta and Vicarious AI, focusing on theoretical neuroscience, neocortical modeling, and brain-inspired computational architectures.

15statements → 8claims → 3claims resolved → 100%fully supported → 3.93/5average certainty → 2.07/5average debate potential →

3 supported 0 partly supported 0 contradicted 1 not yet assessed 4 not checkable as stated how the 8 claims stand · each chip opens the sources

1 prediction · 7 assertions · 2 opinions · 3 insights · 2 disclosures · every statement was checked. The prediction and assertions are the 8 claims: statements the public record can support or contradict. 3 are resolved, 1 is not yet assessed, and 4 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 Dileep 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
DeepMind's reinforcement learning fails on minor visual changes while Vicarious succeeds
“So if you use, ah, if you compare, ah, Vicarious, ah, system with, ah, DeepMind system, ah, for example, if you change the brightness of the screen DeepMind system will stop playing, ah, because it will, ah, get confused, ah, and if you offset the paddle we ou…”
Dileep George Dec 11, 2018 ▶ 12:09 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
none yet certainty 3
100% certainty 4
100% 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? →

272 words/min while actually speaking · 67.4 um and uh per 1k words

No argument clarity score for Dileep George: 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: 4,524 words across 1 episode 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 Dileep George said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported
DeepMind's reinforcement learning fails on minor visual changes while Vicarious succeeds
“So if you use, ah, if you compare, ah, Vicarious, ah, system with, ah, DeepMind system, ah, for example, if you change the brightness of the screen DeepMind system will stop playing, ah, because it will, ah, get confused, ah, and if you offset the paddle we ou…”
Dileep George Dec 11, 2018 ▶ 12:09 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Insight
Deep reinforcement learning in games does not translate to real-world AI
“But those excitements Turned, turned out to be premature because it's, yeah, game playing is an easier problem compared to real world problems. Those techniques do not translate to real world problems.”
Dileep George Dec 11, 2018 ▶ 18:23 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Opinion
The delay in creating multipurpose robots is software, not hardware
“And we don't have Rosie the robot not because we haven't, you know, we haven't solved the hardware problem. It's a software problem.”
Dileep George Dec 11, 2018 ▶ 0:52 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
AI practitioners are shifting toward models inspired by neuroscience and cognitive science
“The mood is starting to shift in the field especially the practitioners that are close to the problem. They understand that, okay, the current wave of excitement has its limitations, and we need to look more deeply at the problems and import insights from neur…”
Dileep George Dec 11, 2018 ▶ 19:22 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Prediction Not checkable as stated
Embedding assumptions about object interactions enables AI models to generalize better
“Our, what we are doing differently compared to what was attempted previously was that we are putting more assumptions into our model in the sense of that there are objects in the world. There are interactions between objects, et cetera. Those assumptions are f…”
Dileep George Dec 11, 2018 ▶ 23:16 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Insight
Intelligence is the ability to model the world and act upon it
“Intelligence is the ability to model the world and to act purposefully on it.”
Dileep George Dec 11, 2018 ▶ 1:08 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Supported
Deep neural networks are easily fooled by abstract adversarial visual patterns
“In fact even our sophisticated deep neural networks can be fooled very easily by showing creating these weird-looking patterns, and those patterns will get interpreted with very high confidence as, you know, things like starfish, freight car, remote control et…”
Dileep George Dec 11, 2018 ▶ 3:47 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Supported
Vicarious AI broke text-based CAPTCHAs with a generative visual perception model
“So this is something that we published in science in like, you know, last year, almost a year back. It's a generative model for visual perception, so it's generative, so it can imagine things trains with very little data and you know, it can do inference in th…”
Dileep George Dec 11, 2018 ▶ 9:45 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Insight
Generative world models enable AI to answer unexpected, untrained questions
“Building models allow you. You are able to answer questions that you did not think about during training the system.”
Dileep George Dec 11, 2018 ▶ 16:18 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Opinion
Corporations are currently more sophisticated in their decision-making than AI
“I think corporations are more sophisticated than today's AI.”
Dileep George Dec 11, 2018 ▶ 22:04 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Open · timeframe Dec 2023
Deep learning systems outperform humans at classifying QR codes
“If I show you QR codes and ask you to classify QR codes, humans will completely fail, whereas deep learning systems will succeed.”
Dileep George Dec 11, 2018 ▶ 25:43 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Disclosure
Vicarious AI's models cannot classify QR codes due to built-in domain assumptions
“Our systems are less general in the sense that our system actually will not be able to solve QR codes.”
Dileep George Dec 11, 2018 ▶ 26:05 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Disclosure
Vicarious AI has begun pilot testing its robots in real factories
“In fact, we have just started pilot testing some of our robots in real factories.”
Dileep George Dec 11, 2018 ▶ 13:59 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Vicarious AI sped up its algorithms 500x for real-time robot operation
“In the last year we sped up the algorithms by about 500 times, and now they are able to run real time on the robots and there is still optimizations to be done.”
Dileep George Dec 11, 2018 ▶ 27:38 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Cheap hardware exists in 2018, but general-purpose robotics does not
“Ok, so it's 2018, and we have cheap motors, and sensors, and processors, and hardware et cetera, but we don't have Rosie the Robot.”
Dileep George Dec 11, 2018 ▶ 0:08 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)

Appearances (1)

EpisodeDateSpeaking time
The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC) Dec 11, 2018 22m
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