other / built
ImageNet
“That to me was not bitter; it was a sweet lesson. That's why I built ImageNet because I believe that big data plays that role. So why can't bitter lesson work in robotics alone?”
Public evidence record
Published podcast speaker
Books, apps, and tools
other / built
“That to me was not bitter; it was a sweet lesson. That's why I built ImageNet because I believe that big data plays that role. So why can't bitter lesson work in robotics alone?”
Claim ledger
18 transcript-backed records
01 / preference
“I chose to look at artificial intelligence through the lens of visual intelligence because humans are deeply visual animals.”
02 / observation
“In the middle of 2015, middle of 2016, some tech companies avoid using the word AI because they were not sure if AI was a dirty word.”
03 / belief
“I think a simple way to understand a world model is that this model can allow anyone to create any worlds in their mind's eye by prompting whether it's an image or a sentence.”
04 / belief
“I think that we shouldn't underestimate or maybe we tend not to talk about how humans, as an embodied agents, can actually benefit so much from world models and spatial intelligence models as well as robots can.”
05 / belief
“I think scaling loss of more data, more GPUs, and bigger current model architecture is there's still a lot to be done there, but I absolutely think we need to innovate more.”
06 / belief
“I do remember the companies, the tech companies, I am not going to name names, but I was in a conversation in one of the early days, I think is in the middle of 2015, middle of 2016, some tech companies avoid using the word AI because they were not sure if AI was a dirty word.”
07 / belief
“Some people start calling it AI, but I think if you look at the Silicon Valley tech companies, if you trace their marketing term, I think 2017-ish was the beginning of companies calling themselves AI companies.”
08 / belief
“I think as all histories, I'm keenly aware that I am recognized for being part of the history, but there are so many heroes and so many researchers.”
09 / belief
“I do believe technology is a net positive for humanity, but I think every technology is a double-edged sword.”
10 / recommendation
“If you are a nurse, I hope you know that at least in my career, I have worked so much in healthcare research because I feel our healthcare workers should be greatly augmented and helped by AI technology, whether it's smart cameras to feed more information or robotic assistance because our nurses are overworked, overfatigued, and as our society ages, we need more help for people to be taken care of.”
11 / evaluation
“For example, messy scenes or clean scenes or whatever you name it. And it's very hard for researchers to get their hands on these kind of immersive scenes and it will take them too long and too much budget to create.”
12 / prediction
“I think everybody today should care about AI because it is going to impact your individual life.”
13 / preference
“And in fact, just a couple of weeks ago, we rolled out the world's first real time demoable, real-time video generation on a single H100 GPU. So part of our technology includes that, but I think Marble is very different because we really want creators, designers, developers to have in their hands a model that can give them worlds with 3D structures so they can use it for their work.”
14 / preference
“I'm an intellectually very fearless person, and I have to say when I hire young people, I look for that because I think that's a very important quality if one wants to make a difference, is that when you want to make a difference, you have to accept that you're creating something new or you're diving into something new.”
15 / preference
“There wasn't that much funding, but there was also a lot of ideas flowing around. And I think two things happened to myself that brought my own career so close to the birth of modern AI is that I chose to look at artificial intelligence through the lens of visual intelligence because humans are deeply visual animals.”
16 / preference
“As a scientist, I take science very seriously and I enter the field because I was inspired by this audacious question of, can machines think and do things in the way that humans can do?”
17 / evaluation
“We also actually put a very strong focus on policy because when we started HAI, I realized that Silicon Valley did not talk to Washington DC and or Brussels or other parts of the world.”
18 / recommendation
“That to me was not bitter; it was a sweet lesson. That's why I built ImageNet because I believe that big data plays that role. So why can't bitter lesson work in robotics alone?”