524K views · Feb 2, 2017 · 1:27:44 · 2 HN recommenders · 6 mentions · discussed 2017–2019
Andrew Ng speaks at the Stanford MSx Future Forum about how AI is transforming industry after industry, comparing its impact to electricity. The talk also touches on evil-AI worries, jobs and basic income.
Why Hacker News points people here: Recommended as a broad, practical view of AI's near-term impact from a leading practitioner, with his argument that worrying about evil AI is premature.
“I really enjoyed this Andrew Ng talk”HN comment, 2017
“I really enjoyed this Andrew Ng talk”
Ng talk on evil AI, radiologists, basic income, trolley problem
I really enjoyed this Andrew Ng talk: this video Some excerpts: Anti-Evil AI drives funding: this video Radiologist will be impacted: this video Against Basic Income: this video Trolley Problem (who dies): this video
“Nice talk all around if you can find the time.”
Ng argues worrying about evil AI is premature
> 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. [1] this video
Excerpt on evil AI worries from Ng's talk
The problem with worrying about the "Evil AI": this video Radiologist will be impacted: this video Against Basic Income: this video Trolley Problem (who dies): this video
“Andrew Ng discusses "basic income" where people need to learn”
Ng on basic income and re-education
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: this video
“he gave a lecture on his broad views in a Stanford lecture”
Ng's broad views in a Stanford lecture
not sure if there's a transcript anywhere but he gave a lecture on his broad views in a Stanford lecture this video
“deep link at 12m20s for context and 14m05s is the "1 sec heuristic"”
Context for Ng's 1-second heuristic
>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": this video
