YouSaid · the spoken record

Kai-Fu Lee

lines on the record: 84
first: 2019-07-15
most recent: 2019-07-15
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“Three years ago. The scarcity question of AI talent has changed the number of AI talent has changed, so now you need not just AI, but also understanding of business customer and the marketplace. So, I also think you should have a more reasonable valuation expectation and growth expectation. There's going to be more competition. But the good news, though, is that AI technologies are now more available in open source. TensorFlow, PyTorch, and such tools are much easier to use. you should be able to experiment and get results iteratively faster than before. So take more of a business mindset to this. Think less of this as a laboratory taken into a company because we've gone beyond that stage. The only exception is if you truly have a breakthrough in some technology that really no one has, then the old way still works. But I think that's harder and harder now.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Willing to accept greater uncertainty. But now the number of people who have the equivalent of PhD three years ago, because that can be learned more quickly, platforms are emerging, the cost to become a AI engineer is much lower, and there are many more AI engineers. So the market is different. So I would suggest someone who wants to build an AI company be thinking about the normal business questions, what customer cases are you trying to address? What kind of pain are you trying to address? How does that translate to value? How will you extract value and get paid through what channel and how much business value will get created? Today needs to be thought about much earlier up front than it did.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I would suggest that people understand technology waves move quickly what worked two years ago may not work today. And that is very much case in point for AI. I think two years ago or maybe three years ago, you certainly could say I have a couple of super smart PhDs and we're not sure what we're going to do. But here's how we're going to start and get funding for a very high valuation those days are over because AI is going from rocket science towards mainstream, not yet commodity, but more mainstream. So first the creation of any company to a venture capital capitalist has to be creation of business value and monetary value. And when you have a very scarce commodity, VCs may be”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Matter isn't going to be so taxing that it would eliminate or even dramatically reduce our accomplishments. It might have some impact, but it might also have other impact, because if you have a happier family, maybe you fight less. If you fight less, you don't spend time. Taking care of all the aftermath of a fight. So it's unclear that it would take more time. And if it did, I'd be willing to take that reduction. And it's not a dramatic number, but it's a number that I think would give me a greater degree of happiness. And knowing that I've done the right thing and still have plenty of hours to get the success that I want to get.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I would, but it's in percentages, right? We're both computer scientists. So I think when one balances one's life, when one is younger. You might give a smaller percentage to family, but you would still give them high priority. And when you get older, you would give a larger percentage to them and still the high priority. And when you're near retirement, you'd give most of it to them and the highest priority. So I think the key point is not that we would work 20 hours less for the whole life and just spend it aimlessly with the family, but that when the family has a need, when your wife is having a baby, when your daughter has a birthday, or when they're depressed, or when they're celebrating something, or when they have a get-together, or when we have family time, that is important for us to put down our phone and PC and be 100% with them. And that priority on the things that really matter.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“A life of routine work, a life of pursuit of numbers, while my job was not routine, it was in pursuit of numbers, pursuit of can I make more money? Can I fund more great companies? Can I raise more money? Can I make sure our VC is ranked higher and higher every year? This competitive nature of driving for bigger numbers and better numbers became an endless pursuit of that's mechanical. And bigger numbers doesn't really didn't make me happier. And faced with death, I realized bigger numbers really meant nothing. And what was important is that people who have given their heart and their love to me deserve for me to do the same.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I used to prioritize everything around work. When I had a little bit of time, I would dole it out to my family. Now, when my family needs something, really needs something, I drop everything at work and go to them. And then in the time remaining, I allocate to work. But one's family is very understanding. It's not like they will take fifty weeks, fifty hours a week from me. So I'm actually able to still work pretty hard, maybe 10 hours less per week. So I realized the most important thing in my life is really love and the people I love. And give that the highest priority. It isn't the only thing I do. But when that is needed, I put that at the top priority. And I feel much better and I feel much more balanced. And I think this also gives a hint as to”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Left in my life, I would spend it all with my loved ones. And, you know, thanking them, giving them love back, and apologizing to them that I lived my life the wrong way. So that Moment of reckoning caused me to really rethink that why we exist in this world is something that we might be too much shaped by the society to think that success and accomplishments is why we live. But while that can get you periodic successes and satisfaction, it's really in the facing death you see what's truly important to you. So as a result of going through them, the challenges with cancer, I've resolved to live a more balanced lifestyle. I'm now in remission, knock on wood, and I'm spending more time with my family. My wife travels with me when my kids need me. I spend more time with them. And before...”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“While I've been a workaholic my whole life and I've basically worked nine ninety nine six, 9 a.m. to 9 p.m. six days a week roughly. And I didn't really pay a lot of attention to my family, friends, and people who loved me. And my life revolved around optimizing for work. While my work was not routine, my optimization really made my life basically a very mechanical process. But I got a lot of highs out of it because of accomplishments that I thought were really important and dear and the highest priority to me. But when I faced mortality and the possible death in matter of months, I suddenly realized that this really meant nothing to me, that I didn't feel like working for another minute, that if I had six months.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Closed loop personal suggestions by the new social network, new search engine, new e-commerce engine that has access to even more of our data, but not directly but indirectly. So I think that general concept of licensing to some trusted engine and finding a way to trust that engine seems like a great idea. But if you think how long it's going to take to implement and tweak and develop it right, as well as to collect all the trusts and the data from the people, it's beyond the current cycle of venture capital. How do you do that? It's a big question”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Yes, absolutely I would I sure would hope there is a way we can do long term projects that really do the right thing. I think a lot of people who embrace GDPR, their hearts in the right place. I think they just need to figure out how to build a solution. I've heard utopians talk about solutions that get me excited, but I'm not sure how in the current funding environment they can get started, right? People talk about imagine this. Crowdsourced data collection that we all trust and then we have these agents that we ask them to ask the trusted agent. That agent only, that platform, a trusted joint platform that we all believe is trustworthy that can give us all the”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“That really didn't deliver the spirit of GDPR. It fit the letter, but not the spirit. So again, I think we need to think about is there a way to fit the spirit of GDPR by using some kind of technology? Can we have a slighter? That's an AI trying to figure out how much you want to slide between perfect protection, secure security of your personal data versus high degree of convenience with some risks of not having full privacy. Each user should have some preference, and that gives you the user choice. But maybe we should turn the problem on its head and ask, can there be an AI algorithm that can customize this? Because we can understand the slider, but we sure cannot understand every pop-up question.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Binary yes no, but letting the technologists try to find solutions to let us have our cake in either two or have most of our cake and eat most of it too. Finally, I think giving each end user a choice is important and having transparency is important. Also, I think that's universal. But the choice you give to the user should not be at the granular level that the user cannot understand. GDPR today causes all these pop-ups of yes, no, will you give this site this right to use this part of your data? I don't think any user understands what they're saying yes or no to. And I suspect most are just saying yes because they don't understand it. So while GDPR in its current implementation has lived up to its promise of transparency and user choice, it implemented it in such a way”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I think technology is often a very good way to solve technology misuse. So can we come up with new technologies that will let us have our cake and eat it too? People are looking into homomorphic encryption, which is letting you keep the data, have it encrypted, and train our encrypted data. Of course, we haven't solved that one yet, but that kind of direction may be worth pursuing. Also federated learning, which would allow one hospital to train on its hospital's patient data fully because they have a license for that. And then hospitals would then share their models, not data but models, to create a super AI, and that also maybe has some promise. I would want to encourage us to be open-minded and think of this as not just the policy.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“China in this side on this aspect has very strong laws about people who sell or give data to other companies and that over the past few years since that law came into effect pretty much eradicated the illegal distribution sharing of data. Additionally”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Yes, I think a lot of people have a misunderstanding that it's okay and possible to just rip all the data out from a provider and give it back to you so you can deny them access to further data and still enjoy the services we have. If we take back all the data, all the services will give us nonsense. We'll no longer be able to use products that function well in terms of right ranking, right products, right user experience. So yet I do understand we don't want to permit misuse of the data from legal policy standpoint. I think there can be severe punishment for those who have egregious misuse of the data. That's, I think, a good first step actually.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Policy for individual citizens and they don't look that different from the American or European ones. So people do want to protect their privacy and have the opportunity to express. And I think the fundamental values are there. The question is in the execution and timing, how soon or when will that start to open up? So as long as each government knows, ultimately people want that kind of protection There should be a plan to move towards that as to when or how. Again, I'm not an expert.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“There's a common belief that full freedom of speech and expression is correlated with creativity which is correlated with Entrepreneurial success. I think empirically we have seen that is not true, and China has been successful, that's not to say, the fundamental values are not right or not the best, but it's just that perfect correlation isn't there. It's hard to read the tea leaves on opening up or not in any country, and I've not been very good at that in my past predictions. But I do believe every country shares some fundamental value, a lot of fundamental values for the long term. So, you know, China is drafting its privacy.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Will not only benefit from the AI boom or other technology booms, but they will have their workers who previously had hoped they could do the China model and do outsource manufacturing or the India model so they could do the outsource process or call center while all those jobs are going to be gone in 10 or 15 years. So the individual citizen may be a net liability, I mean financially speaking to a poorer country and not an asset to claw itself out of poverty. So in that kind of situation these large countries with not much tech are going to be facing a downward spiral and it's unclear what could be done. And then when we look back and say there's $16 trillion being created and it's all being kept by US, China and other developed countries.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“World government that has this sixteen trillion dollars and maybe some AI to figure out how to use it to deal with diseases and problems and hate and things like that, we'll be a lot better off. So what is wrong with the current world? I think the people with more skill than I should think about this. And then the geopolitics issue with superpower competition is one side of the issue. There's another side which I worry maybe even more, which is as the $16 trillion all gets made by US and China and a few of the other developed countries, the poorer country will get nothing because they don't have technology and the wealth disparity and inequality will increase. So a poorer country with a large population”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Not an expert at geopolitics, but I would say that we look pretty foolish as humankind when we are faced with the opportunity to create sixteen trillion dollars for humanity. And yet we're not solving fundamental problems with parts of the world still in poverty. For the first time, we have the resources to overcome poverty and hunger. We're not using it on that, but we're fueling competition among superpowers. And that's a very unfortunate thing. If we become utopian for a moment, imagine a A benevolent”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Challenges to humanity than if they interacted. I think there can still be competition, but with some degree of protocol for interaction, just like when there was a nuclear competition, there were some protocol for deterrence among US, Russia, and China. And I think that engagement is needed. So, of course, we're still far from AI presenting that kind of danger. But what I worry the most about is the level of engagement seems to be coming down. The level of distrust seems to be going up, especially from the US towards other large countries, such as China, and of course Russia, yes.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I think engagement, interaction, some protocols to avoid inadvertent disasters is actually needed. So it's natural for each country to want to be the best, whether it's in nuclear technologies or AI or bio. But I think it's important to realize if each country has a black box AI and don't talk to each other, that probably presents greater”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I believe in greater engagement, a lot of the worries about more powerful AI that are the Based on an arms race metaphor. And when you extrapolate into military kinds of scenarios, AI can automate and autonomous weapons that needs to be controlled somehow and autonomous decision making can lead to not enough time to fix international crises. So I actually believe a Cold War mentality would be very dangerous because should two countries rely on AI to make certain decisions and they don't even talk to each other. They do their own scenario planning, then something”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“There's an easy answer because it's a double edged sword. The companies and governments can provide better services with more access to data, more access to AI, but that also leads to greater power, which can lead to uncontrollable problems, whether it's monopoly or corruption in the government. I think one has to be careful to look at how much data that companies and governments have and some kind of checks and balances would be helpful.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Absolutely. And the governments don't have to believe an employment will go up and they don't have to believe automation will be this fast to do something, revamping vocational school would be one example. Another is if there's a big gap in healthcare service employment and we know that a country's population is growing older, more longevity, living older because people over 80 require five times as much care as those under 80, then it is a good time to incent training programs for elderly care, to find ways to improve the pay. Maybe one way would be to offer as part of Medicare or the equivalent program for people over eighty to be entitled to a few hours of elderly care at home. And then that might be reimbursable and that will still Simulate the service industry around the policy”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Maybe starting with some government subsidy for corporations to have more training positions. We start to explain to people why retraining is important. We start to think about what the future of education, how that needs to be tweaked for the era of AI. If we start to make incremental progress and the greater number of people understand, then there's no reason to think we can't deal with this because this technological revolution is arguably similar to what electricity industrial revolutions and internet brought about.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I am optimistic if we start to take action, if we have no action in the next five years, I think it's going to be hard to deal with the devastating losses that will emerge. So, if we start thinking about retraining, maybe with the low-hanging fruits, explaining to vocational schools why they should train more plumbers than auto mechanics”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Be a cashier at the grocery store as stores become automated, learns to become a nurse, or an at-home care. Also, I do want to point out the blue-collar jobs are going to stay around a bit longer. Some of them quite a bit longer. You know, AI cannot be told, go cling an arbitrary home. That's incredibly hard. Arguably it's an L5 level of difficulty, right? And then AI cannot be a good plumber because plumber is almost like a mini detective that has to figure out where the leak came from. So yet AI probably can be an assembly line and auto mechanic and so on. So one has to study which blue collar jobs are going away and facilitate retraining for the people to go into the ones that won't go away or maybe even will increase.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Not very good, so they pay about half as much as a heavy equipment operator, which will be replaced a lot sooner. And they pay probably comparably to someone on the assembly line. And if so, if we ignoring all the other issues and just think about satisfaction from one's job, someone repetitively doing the same manual action at assembly line, that can't create a lot of job satisfaction, but someone taking care of a sick person and getting a hug and thank you from that person and the family, I think is quite satisfying. So if only we could fix the pay for service jobs, there are plenty of jobs that require some training or a lot of training for the people coming off the routine jobs to take. We can easily imagine someone who was”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“There's going to be 2 million new jobs, not counting replacement, just brand new incremental jobs in the next six years in healthcare services. That includes nurses orderly in the hospital, elderly care, and also at home care. It's particularly lacking. And those jobs are not likely to be filled. So there's likely to be a shortage. And the reason they're not filled is simply because they don't pay very well and that the social”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“So, even if robots improved, people just don't want it. And those jobs are going to be increasing because AI will create a lot of value, $16 trillion to the world in the next 11 years according to PWC. And that will give people money to enjoy services, whether it's eating gourmet meal or tourism and traveling or having concierge services. The services revolving around every dollar of that $16 trillion will be tremendous. It will create more opportunities that are to service the people who did well through AI with things. But even at the same time, the entire society is very much short in need of many service-oriented, compassionate-oriented jobs. The best example is probably in healthcare services.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“It will make errors and that will make it look very silly. And also, I think even if AID did okay, people would want to interact with another person, whether it's for some kind of service or teacher or a doctor or concierge or a masseuse or a bartender. There are so many jobs where people just don't want to interact with a cold robot or software. I've had an entrepreneur who built an elderly care robot and they found that the elderly really only use it for customer service. But not to service the product, but they click on customer service and the video of a person comes up and then the person says, how come my daughter didn't call me? Let me show you a picture of her grandkids. So people yearn for that. People, people interaction.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Dealing with complex tasks such as managing a company that isn't just about optimizing the bottom line, but also about employee satisfaction, corporate brand, and many, many other things. So that is one category of things. And because these things are challenging, creative, complex, doing them creates a higher high degree of satisfaction and therefore appealing to our desire for working which isn't just to make the money, make the ends meet, but also that we've accomplished something that others maybe can't do or can't do as well. Another type of job that is much numerous would be compassionate jobs, jobs that require compassion, empathy, human touch, human trust. AI can't do that because AI is cold, calculating, and even if it can fake that to some extent.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Because an AI system is currently merely optimizing, it's not able to reason, plan, or think creatively or strategically, it's not able to deal with complex problems. It can't come up with a new problem and solve it. A human needs to find the problem and pose it as an optimization problem than have the AI work at it. AI would have a very hard time discovering a new drug or discovering a new style of painting.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Jobs. So the social stipend needs to be put in place is for the routine workers who lost their jobs to be retrained, maybe in six months, maybe in three years takes a while to retrain on the non-routine job and then take on a job that will last for that person's lifetime. Now, having said that, if you look deeply into Andrew's document, he does cater for that. So I'm not disagreeing with what he's trying to do. But for simplification, sometimes he just says UBI, but simple UBI wouldn't work.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Be incented not by just giving a monthly $2,000 check or $1,000 check and do whatever they want because they don't have the know-how to know what to retrain to go into what type of a job and guidance is needed. And retraining is needed because historically in technology revolutions, when routine jobs were displaced, new routine jobs came up. There was always room for that. But with AI and automation, the whole point is replacing all routine jobs eventually. So there will be fewer and fewer routine jobs. And AI will create jobs, but it won't create routine jobs because if it creates routine jobs, why wouldn't AI just do it? So therefore, the people who are losing the jobs are losing routine jobs. The jobs that are becoming available are non-routine.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“I think his thinking is generally in the right direction. But his approach as a presidential candidate may be a little bit ahead of the time. I think the displacements will happen, but will they happen soon enough for people to agree to vote for him? The unemployment members are not very high yet. And I think, you know, he and I have the same challenge if I want to theoretically convince people this is an issue and he wants to become the president people have to see how can this be the case when unemployment numbers are low. So that is the challenge. And I think I do agree with him on the displacement issue on universal basic income at a very vanilla level. I don't agree. So people need to”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“And the blue color may be smaller initially, but over time, AI will get better. And when we start to get to over the next 15, 20 years, the ability to actually have the dexterity of doing assembly line, that's a huge chunk of jobs. And when autonomous vehicles start to work, initially starting with truck drivers, but eventually to all drivers, that's another huge group of workers. So I see modest numbers in the next five years, but increasing rapidly after that.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Addition to the white collar repetitive work, a lot of simple interaction work can also be taken care of, such as telesales, telemarketing, customer service, as well as many physical jobs that are in the same location and don't require a high degree of dexterity. So fruit picking, dishwashing, assembly line, inspection are jobs in that category. So altogether, back office is a big part.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“So, if we were to categorize the most dangerous white-collar jobs, they would be things like back office, people who copy and paste and deal with simple computer programs and data and maybe paper and OCR, and they don't make strategic decisions. They basically facilitate the process, the software and paper systems don't work. So you have people dealing with new employee orientation. Searching for past lawsuits and financial documents. Doing reference check.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Yes, this is also maybe a little bit counterintuitive because it's the routine jobs that will be displaced the soonest, and they may not be displaced entirely, maybe fifty percent, eighty percent of a job, but when the workload drops by that much, employment will come down. And also another part of misunderstanding is most people think of AI replacing routine jobs than they think of the assembly line, the workers. Well, that will have some effect, but it's actually the routine white collar workers. That's easiest to replace. Because to replace a white collar worker, you just need software. To replace a blue collar worker, you need robotics, mechanical excellence, and the ability to deal with dexterity and maybe even unknown environments. Very, very difficult.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Well, AI began as the pursuits of understanding human intelligence and the term itself represents that. But it kind of drifted into the one sub area that worked extremely well, which is machine intelligence. And that's actually more using pattern recognition techniques to basically do incredibly well on a limited domain, large amount of data, but relatively simple kinds of planning tasks and not very creative. So we didn't end up building human intelligence. We built a different machine that was a lot better than us some problems, but nowhere close to us on other problems. So today, I think a lot of people still misunderstand We say artificial intelligence and what various products can do, people still think it's about replicating human intelligence. But the products out there really are closer to”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Yes, I think that's a possibility. Back in the last financial crisis, China put a lot of money to basically give this economy a boost. And a lot of it went into infrastructure build And I think that's a legitimate way at the government level to deal with the employment issues as well as build out the infrastructure. As long as the infrastructures are truly needed and as long as there is an employment problem, no, we don't know.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“How the President Eisenhower get the resources to build this massive infrastructure that surely gave US a tremendous amount of prosperity over the next decade, if not century.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“That's really hard to speculate. I think it's not a yes, no question, but how long does it take questions? Know 15 years, 30 years. Clearly, with infrastructure augmentation, where there's road, city, or whole city planning, building a new city, I'm sure that will accelerate the day of the L5. I'm not knowledgeable enough, and it's hard to predict even when we're knowledgeable because a lot of it is speculative. In the US, I don't think people would consider building a new city the size of Chicago to make it an AI slash autonomous city. There are smaller ones being built, I'm aware of that. But is infrastructure spend really impossible for the US or Western countries? I don't think so. The US highway system was built. Was that during President Eisenhower or Kennedy? So maybe historians can study.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Way of thinking that may be very hard to inject into Western countries to say starting tomorrow bandwidth infrastructure and highways are going to be governmental spending with some characteristics”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“Always appropriate large amounts of money for infrastructure building. This happened happens with not only autonomous vehicle and AI, but happened with the 3G and 4G. You'll find that the Chinese wireless reception is better than the US because massive spending that tries to cover the whole country, whereas in the US, it may be a little spotty. It's a government driven because I think they view the coverage of cell access and 3G, 4G access to be a governmental infrastructure spending as opposed to capitalistic. So that's, of course, their state-owned enterprises also publicly traded, but they also carry a government responsibility to deliver infrastructure to all.”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“From the science lab or something like that. Some have tried to recruit overseas Chinese to come back and start companies and they've had mixed results. The one that worked the best was the guiding funds. So it's almost like a lean startup idea where people try different things and what works sticks and everybody copies. So now every city has a guiding fund. So that's how that came about. The autonomous vehicle and the massive spending in highways and smart cities, that's a Chinese way. It's about building infrastructure to facilitate. It's a clear division of the government's responsibility from the market. The market should do everything in a private freeway, but there are things the market can't afford to do, like infrastructure. So the government”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source
“energy and then whoever gets the results the city shines the people are better off the mayor gets a promotion so the tools this is kind of almost like an entrepreneurial environment for local governments to see who can do a better job and also many of them try different experiments some have given award to very smart researchers just give them money and hope they'll start a company some have given money to academic research labs maybe government research labs to see if they can spin off some companies”
2019-07-15 · Lex Fridman Podcast · Kai-Fu Lee: AI Superpowers – China and Silicon Valley · IDENTIFIED FROM THE TRANSCRIPT · source