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Richard Feynman: Can Machines Think?

Lex Clips

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This is a Q&A excerpt on the topic of AI from a lecture by Richard Feynman from September 26th, 1985.

This is a clip on the Lex Clips channel that I mostly use to post video clips from the Artificial Intelligence podcast, but occasionally I post favorite clips from lectures given by others. Hope you find these interesting, thought-provoking, and inspiring. If you do, please subscribe, click bell icon, and share!

Full lecture:
Richard Feynman Computer Science Lecture -...

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20 Comments

@LexClips Creator 6 years ago Pinned

This is a Q&A excerpt on the topic of AI from a lecture by Richard Feynman from September 26th, 1985. I found it very interesting and hope you do as well. Watch the full lecture in the description. Subscribe to this channel for more clips.

@HecmarJayam 6 years ago

Richard Feynman was born in a world where horses were still the most common mode of transportation in cities and here is he, telling about AI concepts we are still struggling to apply today. Also, he was one of the greatest theoretical physicist in history.

@Bd951 5 years ago

I like the fact that he's brilliant but talks like a 70s NYC cab driver.

@levikok1810 4 months ago (edited)

13:35 Feynman casually explaining machine learning, reinforcement learning as of today
14:27 Feynman casually explaining Iran's navy as of today
17:28 Feynman casually explaining LLM RL reward function engineering difficulties as of today

@bibiayube677 5 years ago

The fact i have access to this man lectures and interviews that i am truly grateful for

@johnwalkerlee 1 year ago

This aged well

@DeuceGenius2 9 months ago (edited)

everytime i've ever heard Feynman speak about anything, I'm left with such a good feeling. a smile. a heightened curiosity. a satisfaction. and a motivation to continue

@mrnarason 6 years ago

Never seen Richard Feynman in a T-shirt before

@Mackinstyle 3 years ago

The thing that consistently blows me away, every time I hear him discuss something, is not necessarily his opinions on the matter, or his logic, but how he structures a response. How he makes a case.

@ccandantube 2 years ago

It is amazing he has explained how today’s AI (ChatGPT and others) work and also their weaknesses with two questions in 1985. Today, we need him more than anyone else

@K.F-R 3 years ago

"The necessary weaknesses of intelligence."
Even his throw-away observations and quips can be pure timeless genius.
Thanks for sharing.

@TizzTv 8 months ago

Feynman is like that teacher that you feel so comfortable around that you dont want to leave. usually i have so many questions, but i love hearing his voice and soaking it all in

@sopidf 1 year ago

Nuts how spot on he is on machine learning, pattern recognition, the notion of intelligence. Seems like we have just been catching up and unfolding ideas that were already fully developed in 1985 in guys like RF.

@roblarssen249 4 years ago

it is astonishing to me that this was off the cuff and 40 years ago, yet Feynman's comments are unbelievably prescient and resonate still with any AI researcher today 40 years later

@auroraborealis13579 6 years ago

CheeTAH

@caparn100 1 year ago

Absolutely fascinating lecture. In 1985, when this was recorded, the most powerful computer in the world was the Cray-2 supercomputer. It had 4 vector processors running at 244 MHz, with up to 512 MB of RAM, and could achieve 1.9 GFLOPS—the first machine to break the 1 gigaflop barrier. It was cooled by immersion in a liquid called Fluorinert and was mainly used for nuclear simulations, weather modelling, and other complex scientific computations. Hard to imagine back then that today’s smartphones can outperform it in many tasks!

@dr.mikeybee 6 years ago

"The third year he wasn't allowed to play anymore." LOL!

@736939 3 years ago

I wish he was alive today.

@weignerg 1 year ago

6:17 I turned my smartphone on to watch this video by resting my thumbprint on the screen...

@cristina-dianasavin4468 6 years ago

11:33 The way the audience reacted when he told them he doesn't have time to tell them more is priceless. It marks the difference between the vast majority of teachers and the ones that soak their students with... "the pleasure of finding things out". Too bad we don't hear the often in class. Great man, great educator. Beautiful lecture.