Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li

Fei-Fei Li · 2h 08m · youtube.com ↗

21 korrents from this recording

Fei-Fei Li did not write this page.

Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.

0:05:17 · watch on youtube.com↗

Our reading
Sensing the world is what set evolution racing: the first photoreceptive cells created the force that drove animal life to diversify.

Their wordsBut the first photoreceptive cells created a evolutionary force that propelled animals to evolve because sensing the external world changes your self-perception changes the way your relationship with the external world.

Interesting
6 min later
0:10:51 · watch on youtube.com↗

Our reading
AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.

Their wordsSo we conjectured that the lack of data was a huge part of the reason that's the lack of progress in AI. So we took a departure from everybody else who are really focusing only on algorithm and said that we need data. we need data to drive these algorithms.

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17 min later
0:27:55 · watch on youtube.com↗

Our reading
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.

Their wordsthat child who learns about what you say kitty cat would not have the chance to download the internet of images of cat. They likely have seen three cats, 10 cats at most, but yet they're able to identify that tail as a cattail instead of a fox tail through a different kind of learning pathway.

Interesting
4 min later
0:31:36 · watch on youtube.com↗

Our reading
Video generation was not an algorithmic revolution: it was the same neural-network era with video added to the training data.

Their wordsWhat happened there is actually not as revolutionary as you might think because the bottom line is it's still data.

Interesting
7 min later
0:38:14 · watch on youtube.com↗

Our reading
The internet is not a random pile of content but the largest capture of human behaviour ever made, which is the whole reason AI trained on it works.

Their wordsInternet is not some random thing. Internet is the biggest collection of human behavior in multimodal forms.

Interesting
3 min later
0:41:19 · watch on youtube.com↗

Our reading
A thought that was never captured was never uploaded, so AI has never seen it, and that is where humans remain unique.

Their wordsthat thought is not captured therefore it's not on the internet therefore AI has not seen it so that is where humans still remain so unique

Interesting
3 min later
0:44:29 · watch on youtube.com↗

Our reading
The mathematical problems whose solutions have not yet been invented will be solved by humans working alongside AI, not by either alone.

Their wordsMy current conjecture is hybrid is that humans working alongside AI would help us to solve these problems whose solutions have yet to be invented.

Interesting
5 min later
0:49:18 · watch on youtube.com↗

Our reading
AI should be built as a tool that strengthens human agency, and the people leading the field should stop talking as though it will take agency away.

Their wordswe need to think about AI as a tool that helps us in our agency. It does it should not take away our agency and people who lead in today's AI should not try to talk like that this this work will take away agency from people.

Interesting
2 min later
0:50:49 · watch on youtube.com↗

Our reading
Public discussion of AI is skewed because the people who understand the technology talk down to everyone else.

Their wordsthe rhetoric around AI right now is getting really skewed because people who know what this is tend to talk down at the public.

Interesting
10 min later
1:00:44 · watch on youtube.com↗

Our reading
Scientific discovery is ready to be rewritten, because for all of history it has run at the speed of smart humans remembering what other smart humans learned.

Their wordsI think we're we're ready for complete re rewriting of how scientific discovery can be done because for ages, I don't even know how long, it relies on smart humans retaining what they have learned from other smart humans

Interesting
5 min later
1:06:00 · watch on youtube.com↗

Our reading
AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone.

Their wordsSo this speaks of a very important fact that um AI learns from patterns. When the patterns are not abundant, then we have to be careful. We have to know how to use AI or how not to use AI.

Interesting
12 min later
1:18:07 · watch on youtube.com↗

Our reading
An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing.

Their wordswhen the machine says I'm sorry you're so sick today it's very different from how your friend says it to you because the machine said that because it has learned through pattern when someone tells it I'm sick you should say I'm sorry you're sick instead of I'm so glad you're sick because that data exists.

Interesting
4 min later
1:21:45 · watch on youtube.com↗

Our reading
Capability has never been the reason a technology gets deployed: any carmaker could switch the brakes off every Friday, and none does.

Their wordshumans are capable of doing a lot of things with our tools, but we don't do all of them. For example, today any car manufacturer can say every Friday the brake doesn't work. This is a trivial technology. There's a clock in the car's computer and it just turns off the brake every Friday. But we don't do that because it has deeply bad implications to our human society.

Interesting
5 min later
1:26:56 · watch on youtube.com↗

Our reading
It would be dangerous for a few people from industry to set the rules for AI, because market forces are not societal norms.

Their wordsWhat I would not like to see is one person or or a few people coming from industry and telling everybody what to do. I think that would be dangerous because market forces are different from uh societal norms and culture and heritage are different from uh education and ethics and and these are multistakeholder problems to solve together.

Interesting
3 min later
1:29:47 · watch on youtube.com↗

Our reading
The worst outcome of AI for young people is that it takes away their agency and their motivation to learn.

Their wordsThe absolute bad outcome is that our young generation, their agency and human level motivation of learning and living is taken away by tools. So doom scrolling, passive watching of shorts, all this are not helping agency, human agency.

Interesting
1 min later
1:30:18 · watch on youtube.com↗

Our reading
Learning takes time, effort and sometimes pain, and no tool changes that, because that is how the brain is built.

Their wordsLearning fundamentally respecting the hardware you're talking about takes time, takes effort, sometimes takes some pain. That is just how our brain is.

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1 min later
1:31:21 · watch on youtube.com↗

Our reading
Denying students AI because you fear they will cheat is its own harm, as bad as letting the tool take their motivation away.

Their wordsThe other kind of danger is in the name of agency and and uh and motivation the tools are denied to our students because we're worried you cheat or worry you only got your answer from Chad GBT. That is very bad as well

Interesting
3 min later
1:34:26 · watch on youtube.com↗

Our reading
Prompting should be taught in schools from kindergarten onwards, as a matter of public education.

Their wordsThis is why public education is so important. This is why education is so important. I would love to see our schools K12 teaching prompting.

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2 min later
1:36:51 · watch on youtube.com↗

Our reading
The next frontier of AI lies beyond language, because intelligence in nature ran for 500 million years before words existed.

Their wordsThe next frontier of AI as I have been saying is beyond language because again humans develop first preverbally. evolution took, you know, 500 million years without verbal communication

Interesting
22 min later
1:58:44 · watch on youtube.com↗

Our reading
The test for AI in the creative industries is whether it superpowers people's creativity rather than taking their jobs.

Their wordsit's not that technology should be taking their jobs away technology should be making their jobs better superpowering their creativity

Interesting
4 min later
2:02:25 · watch on youtube.com↗

Our reading
Teachers are the most important people in society and the ones the AI industry has most completely forgotten.

Their wordsThey are the most important people in our society. We should be talking to them. We should be uplifting them. We should be supporting them. We should be providing resources to them.

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