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Andrew Ng: Artificial Intelligence is the New Electricity
Stanford Graduate School of Business
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All the comments and stories posted to Hacker News that reference this video.>Andrew Ng once tweeted about a 1-second heuristic [..] And was summarily derided for it. Read the replies to his tweet to see some of the suggested counter examples.Fyi to add some extra context to that "1 sec heuristic"...
I've seen several Andrew Ng presentations over the last several years and in the live talks, he has more of a lead up to that "1 second" idea[0]. He was trying to help project managers at Baidu think about the possibilities of new AI products to build.
Unfortunately, the extreme brevity of that tweet removes all that surrounding context that so it makes him look like an AI crackpot instead of an AI realist. (E.g. The top tweet reply from Pedro Domingos seems to be based on the limitations of current AI but Andrew Ng was trying to convey the idea to PMs of what new AI to build.)
[0] deep link at 12m20s for context and 14m05s is the "1 sec heuristic": https://youtu.be/21EiKfQYZXc?t=740
⬐ olooneyThank you, good clarification, sorry if I made it sound I was dog-piling on Ng. Andrew Ng works harder at explaining ML in a non-technical way than anyone else I can think of, and the 1-second rule came out of that genuine desire to educate. I've been in the exact same boat: a senior executive who "used to code" trying to get me to explain to him in simple terms what kind of problems ML could solve; I sort of fumbled through it by mentioning the 1 second rule and giving some concrete examples. It's just absurdly hard to put it in non-technical terms.
⬐ bausWhat I found interesting about this talk is that Ng is very explicit about the fact that companies like Baidu launched products simply to collect data with the intention of monetizing the data (through AI). I know this is obviously the case, but I've never heard it stated so explicitly from someone in his position of influence.He also mentions that ad targeting is probably the most profitable application of AI
Let Andrew Ng address the Trolley problem:
not sure if there's a transcript anywhere but he gave a lecture on his broad views in a Stanford lecture
If a car has to decide between killing ...The trolley problem: https://www.youtube.com/watch?v=21EiKfQYZXc&feature=youtu.be...
> It is hard for me to empathize with Musk’s fixation on evil super-intelligent AGI killer robots in a very distant future.This reminded me of a talk by Andrew Ng I watched recently [1]:
"Worrying about evil AI robots today is a little bit like worrying about overpopulation on the planet Mars ... how do you not care ... and my answer is we haven't landed on the planet yet so I don't know how to work productively on that problem...of course, doing research on anti-evil AI is a positive thing but I do see that there is a massive misallocation of resources."
Nice talk all around if you can find the time.
I really enjoyed this Andrew Ng talk:Some excerpts:
Anti-Evil AI drives funding: https://youtu.be/21EiKfQYZXc?t=37m20s
Radiologist will be impacted: https://youtu.be/21EiKfQYZXc?t=57m38s
Against Basic Income: https://youtu.be/21EiKfQYZXc?t=1h1m57s
Trolley Problem (who dies): https://youtu.be/21EiKfQYZXc?t=1h25m50s
Why should humans work in factories doing mindless jobs? We need to prepare people to re-educate themselves as technology advances.Andrew Ng discusses "basic income" where people need to learn:
Andrew Ng has a view on this. People should be paid to get learn:
⬐ mellingThe problem with worrying about the "Evil AI":https://youtu.be/21EiKfQYZXc?t=37m20s
Radiologist will be impacted: https://youtu.be/21EiKfQYZXc?t=1h1m57s
Against Basic Income: https://youtu.be/21EiKfQYZXc?t=57m38s
Trolley Problem (who dies): https://youtu.be/21EiKfQYZXc?t=1h25m50s