Dileep George
Head of AI, Astera Institute. On 1 show, 1 appearance. The Shows tab opens the full record on each.
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.
1shows
1appearances
15statements
3resolved
3supported
0contradicted
100%fully supported
Everything Dileep George said on any show that made the record, most notable first. Each card names its show and opens the statement there.
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…”
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.”
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.”
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…”
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…”
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.”
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…”
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…”
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.”
Corporations are currently more sophisticated in their decision-making than AI
“I think corporations are more sophisticated than today's AI.”
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.”
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.”
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.”
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.”
One line per show, most statements first. The link opens Dileep's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 MADLEDGER | Head of AI, Astera Institute | 1 | 15 | 100% 3/3 | full record on the MAD Podcast → |