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Fears that frontier AI labs will wipe out vertical AI startups are overblown because the labs have much bigger opportunities to pursue, according to Everett Randle. "I'm not really in the bearish camp around lab risk for these app companies. Some people will say, 'Claude for legal is coming...

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TBPN

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40,680 просмотров • 20 дней назад •via X (Twitter)

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.Talia Goldberg explains the concept of 'supernovas' in the AI industry. "The supernovas are out-of-nowhere growth stories that are mind-blowing. AI companies are accelerating and compressing growth into a very short period of time." "On average, the top cloud companies took about 6-7 years to get to about $100 million ARR." "In this cohort, the top percentile is getting to $100 million ARR in about one and a half years, and the top decile in about four years. There are some trade-offs like gross margins. Many of these companies have negative gross margins. Not all revenue is created equal, but nevertheless, the adoption is astounding."
1:44

.Talia Goldberg explains the concept of 'supernovas' in the AI industry. "The supernovas are out-of-nowhere growth stories that are mind-blowing. AI companies are accelerating and compressing growth into a very short period of time." "On average, the top cloud companies took about 6-7 years to get to about $100 million ARR." "In this cohort, the top percentile is getting to $100 million ARR in about one and a half years, and the top decile in about four years. There are some trade-offs like gross margins. Many of these companies have negative gross margins. Not all revenue is created equal, but nevertheless, the adoption is astounding."

TBPN

409,181 просмотров • 11 месяцев назад

Andrej Karpathy had already talked about this possibility 1 month back, that he might join one of the big AI labs and why he may do so. "They (the AI labs) are kind of like at the edge of capability of what's possible. And they are working on what's coming down the line. And I think if you're outside of that frontier lab, your judgment fundamentally will start to drift because you're not part of what's coming down the line. And so I feel like my judgment will inevitably start to drift as well. And I won't actually have an understanding of how these systems actually work under the hood. It's a big system. I won't have a good understanding of how to develop and etc. And so I do think that in that sense, I agree and something I'm nervous about. I think it's worth basically being in touch with what's actually happening and actually being in the frontier lab. And if some of the frontier labs would have me come for some amount of time and do really good work for them, then I think that's maybe a good setup" --- From 'No Priors: AI, Machine Learning, Tech, & Startups" YT channel (link in comment)
0:46

Andrej Karpathy had already talked about this possibility 1 month back, that he might join one of the big AI labs and why he may do so. "They (the AI labs) are kind of like at the edge of capability of what's possible. And they are working on what's coming down the line. And I think if you're outside of that frontier lab, your judgment fundamentally will start to drift because you're not part of what's coming down the line. And so I feel like my judgment will inevitably start to drift as well. And I won't actually have an understanding of how these systems actually work under the hood. It's a big system. I won't have a good understanding of how to develop and etc. And so I do think that in that sense, I agree and something I'm nervous about. I think it's worth basically being in touch with what's actually happening and actually being in the frontier lab. And if some of the frontier labs would have me come for some amount of time and do really good work for them, then I think that's maybe a good setup" --- From 'No Priors: AI, Machine Learning, Tech, & Startups" YT channel (link in comment)

Rohan Paul

57,496 просмотров • 2 месяцев назад

Intercom CEO Eoghan McCabe: "You don't have a choice. AI is going to disrupt you in the most aggressive, violent ways. If you're not in it, you're about to get kicked out of all of it. My strongest advice is that you need to bring in the young talent. AI is kind of a young person's game. You're competing with young companies that are in part AI, run by kids in their twenties, literally working 12 hours a day, literally 365 days a year. These younger companies know how to use AI in ways that the older companies don't. Companies of our generation, people in most organizations, particularly non-technical organizations, they're not using any AI. Maybe they're starting to use ChatGPT to write a job description. But they're not doing it by default."
0:55

Intercom CEO Eoghan McCabe: "You don't have a choice. AI is going to disrupt you in the most aggressive, violent ways. If you're not in it, you're about to get kicked out of all of it. My strongest advice is that you need to bring in the young talent. AI is kind of a young person's game. You're competing with young companies that are in part AI, run by kids in their twenties, literally working 12 hours a day, literally 365 days a year. These younger companies know how to use AI in ways that the older companies don't. Companies of our generation, people in most organizations, particularly non-technical organizations, they're not using any AI. Maybe they're starting to use ChatGPT to write a job description. But they're not doing it by default."

Lenny Rachitsky

73,870 просмотров • 11 месяцев назад

The German Federal Innovation Agency is running a €125m competition to fund 3 new Frontier AI labs in Europe! "Next Frontier AI" is a pan-European initiative led by SPRIND, Federal Agency for Breakthrough Innovation to create three globally relevant Frontier AI labs. It starts with a €125m challenge where up to 10 teams receive funding over 24 months to build frontier-lab capabilities, including team, infrastructure, prototypes, evaluation discipline, and early pilots. The best-performing teams will then receive structured support toward raising ~€1 billion each. Europe has some of the top AI companies in the world, but as a continent we are massively dependent on frontier labs from other countries. This initiative seeks to change that and I am HERE FOR IT.
1:30

The German Federal Innovation Agency is running a €125m competition to fund 3 new Frontier AI labs in Europe! "Next Frontier AI" is a pan-European initiative led by SPRIND, Federal Agency for Breakthrough Innovation to create three globally relevant Frontier AI labs. It starts with a €125m challenge where up to 10 teams receive funding over 24 months to build frontier-lab capabilities, including team, infrastructure, prototypes, evaluation discipline, and early pilots. The best-performing teams will then receive structured support toward raising ~€1 billion each. Europe has some of the top AI companies in the world, but as a continent we are massively dependent on frontier labs from other countries. This initiative seeks to change that and I am HERE FOR IT.

Seb Johnson

24,124 просмотров • 3 месяцев назад

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.
1:48

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.

TBPN

21,828 просмотров • 6 месяцев назад

.tae kim believes the next six to nine months could be the biggest period of AI progress yet because of RSI. "The next six to nine months are going to be bigger than anyone believes... It'll be dramatically better for AI than the last two years in terms of advancements in capabilities." "RSI is a lot closer than people think... If RSI actually happens, and I think it sounds like both frontier labs think it's going to happen very soon, that's going to soak up an unbelievable amount of compute."
1:20

.tae kim believes the next six to nine months could be the biggest period of AI progress yet because of RSI. "The next six to nine months are going to be bigger than anyone believes... It'll be dramatically better for AI than the last two years in terms of advancements in capabilities." "RSI is a lot closer than people think... If RSI actually happens, and I think it sounds like both frontier labs think it's going to happen very soon, that's going to soak up an unbelievable amount of compute."

TBPN

73,014 просмотров • 8 дней назад

John: AI is actually doing very little for the economy right now. It's doing a lot for the markets, but in terms of the actual economic impact of AI, it's very low. If you add up the actual revenues from the AI labs, you're talking about $40 billion. Maybe there's like a 5x multiple on that, and so you're generating $200 billion of GDP on top of those tokens. But that's just not that much in the grand scheme of America's actual GDP. There's this disconnect between the market, which is pricing future GDP, future cash flows, future value creation. Then you have what is actually driving GDP, and then you have the actual workforce and what Americans do. What's actually holding up the American economy? It's healthcare jobs. The number of people that are software developers is less than 1% of America. The number of people that work at tech companies broadly is less than 10%.
2:09

John: AI is actually doing very little for the economy right now. It's doing a lot for the markets, but in terms of the actual economic impact of AI, it's very low. If you add up the actual revenues from the AI labs, you're talking about $40 billion. Maybe there's like a 5x multiple on that, and so you're generating $200 billion of GDP on top of those tokens. But that's just not that much in the grand scheme of America's actual GDP. There's this disconnect between the market, which is pricing future GDP, future cash flows, future value creation. Then you have what is actually driving GDP, and then you have the actual workforce and what Americans do. What's actually holding up the American economy? It's healthcare jobs. The number of people that are software developers is less than 1% of America. The number of people that work at tech companies broadly is less than 10%.

TBPN

34,206 просмотров • 5 месяцев назад

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸
1:34

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸

a16z

79,935 просмотров • 9 месяцев назад

Jordi: The problem is, when you have good taste, and people pick up on it, they start blanket copying you. So there's an entire generation of companies whose visual identities just look the same — from their website to their actual products. Taste is something people curate themselves, but as soon as it's copied, it's fundamentally not tasteful. It's not original. An example is Squarespace. It took high-end website design, then commoditized it. Anybody could have a pretty website. It's not really that much of a knock, but a Squarespace website showed that it wasn't the company's own taste. So it commoditized really quickly, then it ceased to be tasteful. That being said, just helping AI labs create better-looking outputs, and working on that problem, feels like a pretty good way to build — at least temporarily — a pretty good business. This is something users, labs, and hyperscalers really care about. Even though Taste Labs got a lot of flak over the last 24 hours, their pipeline probably exploded. I bet they get a ton of business out of it. Unclear what this business looks like in 5 years, but I bet they print in the short term.
2:45

Jordi: The problem is, when you have good taste, and people pick up on it, they start blanket copying you. So there's an entire generation of companies whose visual identities just look the same — from their website to their actual products. Taste is something people curate themselves, but as soon as it's copied, it's fundamentally not tasteful. It's not original. An example is Squarespace. It took high-end website design, then commoditized it. Anybody could have a pretty website. It's not really that much of a knock, but a Squarespace website showed that it wasn't the company's own taste. So it commoditized really quickly, then it ceased to be tasteful. That being said, just helping AI labs create better-looking outputs, and working on that problem, feels like a pretty good way to build — at least temporarily — a pretty good business. This is something users, labs, and hyperscalers really care about. Even though Taste Labs got a lot of flak over the last 24 hours, their pipeline probably exploded. I bet they get a ton of business out of it. Unclear what this business looks like in 5 years, but I bet they print in the short term.

TBPN

136,677 просмотров • 1 месяц назад

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.
1:01

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.

Karl Mehta

44,165 просмотров • 18 дней назад

Bloomberg's Joe Weisenthal observes the scary double bind that compute prices 10xing puts hyperscalers in: "One of the stylized facts in recent years has been the extraordinary drop in token prices." "If you go back to GPT-3, token prices are down like 99.9%." "We think there's some iron law that token prices will get cheaper over time." "But maybe not. We thought there was an iron law that memory prices would drop over time. Or that any sort of hardware would drop over time." "But the story of the last two years is that that law can reverse." "It's not impossible to imagine that compute prices get significantly more expensive." "But that doesn't mean you can stop spending on it. Because you have to worry about hardening yourself for cybersecurity." "There's no, 'This is not economical for me anymore. I want to tap out of the whole AI race.'" "Well then, your competitor develops a stronger model. And then you're done. You're really done." "This is the scary thing. What if the situation is, you're bleeding free cash flow, but you also don't have the option to opt out of the game?"
2:00

Bloomberg's Joe Weisenthal observes the scary double bind that compute prices 10xing puts hyperscalers in: "One of the stylized facts in recent years has been the extraordinary drop in token prices." "If you go back to GPT-3, token prices are down like 99.9%." "We think there's some iron law that token prices will get cheaper over time." "But maybe not. We thought there was an iron law that memory prices would drop over time. Or that any sort of hardware would drop over time." "But the story of the last two years is that that law can reverse." "It's not impossible to imagine that compute prices get significantly more expensive." "But that doesn't mean you can stop spending on it. Because you have to worry about hardening yourself for cybersecurity." "There's no, 'This is not economical for me anymore. I want to tap out of the whole AI race.'" "Well then, your competitor develops a stronger model. And then you're done. You're really done." "This is the scary thing. What if the situation is, you're bleeding free cash flow, but you also don't have the option to opt out of the game?"

TBPN

92,708 просмотров • 7 дней назад

The next Mag 7 may still be private: "All of us in this room would probably think of.. SpaceX, OpenAI, Anthropic, Revolut, Databricks.” “If you're going to outperform the index over a long period of time, you're going to need exposure to these companies.” Thomas Laffont, Coatue COATUE coatue.thomas Upfront Ventures "Regardless, if you think about the innovation of these late-stage private companies—or one thing we kind of look at is the Mag 7, which has been a significant driver of returns in the public market over the past few years—has essentially kind of been flat over the past year-ish. And that's because Microsoft, as an example, I think has lost almost a trillion dollars of value over that timeframe as people are questioning their positioning kind of in AI. So then that leads you to think, “Well, what would the next Mag 7 look like?” Or who would be other candidates to kind of fit into the index of the future? And I think the names that all of us in this room would probably think of are names like SpaceX, or names like OpenAI, Anthropic, Revolut, Databricks. So I do think it's a really important class of companies. I do think if you're going to want to outperform the index over a long period of time, you're going to need exposure to these companies. Some of them will probably go public in the next 12 to 24 months, so that'll be kind of one impact of it. But it is unbelievable the amount of innovation that is now coming from this group of companies."
1:13

The next Mag 7 may still be private: "All of us in this room would probably think of.. SpaceX, OpenAI, Anthropic, Revolut, Databricks.” “If you're going to outperform the index over a long period of time, you're going to need exposure to these companies.” Thomas Laffont, Coatue COATUE coatue.thomas Upfront Ventures "Regardless, if you think about the innovation of these late-stage private companies—or one thing we kind of look at is the Mag 7, which has been a significant driver of returns in the public market over the past few years—has essentially kind of been flat over the past year-ish. And that's because Microsoft, as an example, I think has lost almost a trillion dollars of value over that timeframe as people are questioning their positioning kind of in AI. So then that leads you to think, “Well, what would the next Mag 7 look like?” Or who would be other candidates to kind of fit into the index of the future? And I think the names that all of us in this room would probably think of are names like SpaceX, or names like OpenAI, Anthropic, Revolut, Databricks. So I do think it's a really important class of companies. I do think if you're going to want to outperform the index over a long period of time, you're going to need exposure to these companies. Some of them will probably go public in the next 12 to 24 months, so that'll be kind of one impact of it. But it is unbelievable the amount of innovation that is now coming from this group of companies."

Molly O’Shea

15,258 просмотров • 5 месяцев назад

SITUATION EXPLAINED: American AI labs are worth ~$1T each. Chinese AI labs are worth tens of billions. What explains the gap? • Moonshot AI (Kimi) raising $2B at $30B, its third financing in six months • OpenAI and Anthropic: both around $1T • DeepSeek and Moonshot: tens of billions... one to two orders of magnitude smaller • DeepSeek rumored at ~$200M ARR • Chinese models don't compete on capability, they compete on price Theo Jaffee: "Markets are probably pricing in OpenAI and Anthropic kicking off recursive self-improvement first. The niche of DeepSeek and Moonshot is not that they're better... it's that they're much, much cheaper. Which is good for enterprise applications. But it's not as good for kicking off the singularity."
1:55

SITUATION EXPLAINED: American AI labs are worth ~$1T each. Chinese AI labs are worth tens of billions. What explains the gap? • Moonshot AI (Kimi) raising $2B at $30B, its third financing in six months • OpenAI and Anthropic: both around $1T • DeepSeek and Moonshot: tens of billions... one to two orders of magnitude smaller • DeepSeek rumored at ~$200M ARR • Chinese models don't compete on capability, they compete on price Theo Jaffee: "Markets are probably pricing in OpenAI and Anthropic kicking off recursive self-improvement first. The niche of DeepSeek and Moonshot is not that they're better... it's that they're much, much cheaper. Which is good for enterprise applications. But it's not as good for kicking off the singularity."

MTS

11,559 просмотров • 1 месяц назад

We asked Brad Gerstner about the future of AI and America. "The age of AI is going to be the biggest supercycle of our lifetimes." "But it's going to lead to a lot of dislocation. The world will end up in a better place, but it doesn't mean that everybody ends up in a better place." "We need our best and brightest to rethink the social contract in a way that holds this fragile experiment (that is America) together." "We can't take for granted that we can go through this magnitude of change that AI is going to bring and that nothing will break."
2:35

We asked Brad Gerstner about the future of AI and America. "The age of AI is going to be the biggest supercycle of our lifetimes." "But it's going to lead to a lot of dislocation. The world will end up in a better place, but it doesn't mean that everybody ends up in a better place." "We need our best and brightest to rethink the social contract in a way that holds this fragile experiment (that is America) together." "We can't take for granted that we can go through this magnitude of change that AI is going to bring and that nothing will break."

TBPN

37,278 просмотров • 1 год назад

David Sacks says the biggest risk of AI was described not by James Cameron in The Terminator but by George Orwell in 1984. “I almost feel like the term ‘woke AI’ is insufficient to explain what’s going on because it somehow trivializes it.” “What we’re really talking about is 'Orwellian AI.' We’re talking about AI that lies to you, that distorts an answer, that rewrites history in real time to serve a current political agenda of the people who are in power.” “To me, this is the biggest risk of AI... It’s not The Terminator, it’s 1984.” David Sacks
2:02

David Sacks says the biggest risk of AI was described not by James Cameron in The Terminator but by George Orwell in 1984. “I almost feel like the term ‘woke AI’ is insufficient to explain what’s going on because it somehow trivializes it.” “What we’re really talking about is 'Orwellian AI.' We’re talking about AI that lies to you, that distorts an answer, that rewrites history in real time to serve a current political agenda of the people who are in power.” “To me, this is the biggest risk of AI... It’s not The Terminator, it’s 1984.” David Sacks

a16z

16,352,820 просмотров • 9 месяцев назад

$AMZN CEO Andy Jassy describes AI adoption as very barbelled, with most existing enterprise workloads still not using inference though he expects that to change significantly over time. "I think it's actually kind of useful to look at at least our view of what we see in the demand and adoption curve right now, which is we see this adoption curve in AI right now is very barbelled." "There is on one end of the barbell, the AI labs are consuming gobs and gobs of compute. And there are a few runaway successful generative AI applications like Claude Code and ChatGPT." "And on the other end of the barbell are enterprises who are getting real value from AI in cost avoidance and productivity. And these are things like automating customer service or business process automation or fraud." "In the middle of the barbell is all of the current enterprise production workloads, some of which are using inference in a pervasive way, but most of which aren't. And that is going to change very significantly over time." "And that will be, in my opinion, that will be the largest absolute segment, the existing production workloads in the enterprise and new businesses and workloads that startups build too."
1:10

$AMZN CEO Andy Jassy describes AI adoption as very barbelled, with most existing enterprise workloads still not using inference though he expects that to change significantly over time. "I think it's actually kind of useful to look at at least our view of what we see in the demand and adoption curve right now, which is we see this adoption curve in AI right now is very barbelled." "There is on one end of the barbell, the AI labs are consuming gobs and gobs of compute. And there are a few runaway successful generative AI applications like Claude Code and ChatGPT." "And on the other end of the barbell are enterprises who are getting real value from AI in cost avoidance and productivity. And these are things like automating customer service or business process automation or fraud." "In the middle of the barbell is all of the current enterprise production workloads, some of which are using inference in a pervasive way, but most of which aren't. And that is going to change very significantly over time." "And that will be, in my opinion, that will be the largest absolute segment, the existing production workloads in the enterprise and new businesses and workloads that startups build too."

Fireside Alpha

29,242 просмотров • 3 дней назад

ALLEN: Max Tegmark says the key to AI regulation is to leave allowances for tool AI, AI that human beings are in control of, narrow AIs for medicine and for financial analysis, things like this. What should be off the table is any AI that is out of human control. I think that should include control of the populace. The populace doesn’t have a say in what is deployed, which is abhorrent. The populace should have a say in what flies and what does not. Joe Allen
0:54

ALLEN: Max Tegmark says the key to AI regulation is to leave allowances for tool AI, AI that human beings are in control of, narrow AIs for medicine and for financial analysis, things like this. What should be off the table is any AI that is out of human control. I think that should include control of the populace. The populace doesn’t have a say in what is deployed, which is abhorrent. The populace should have a say in what flies and what does not. Joe Allen

Bannon’s WarRoom

13,768 просмотров • 1 год назад

Lina Khan: "The holy grail for companies for a long time has been the ability to charge each person what their willingness to pay is. If you're really hungry for lunch, maybe they'll charge you 10 bucks for a burger, but if you're not that hungry, maybe they'll charge you three bucks... Now there's so much data collected about individual people that there is a serious worry that companies will be able to do this. And actually Delta Airlines just announced on their earnings call that they're gonna start using some of these algorithms to price some of their tickets. And so imagine a world in which you have the death in the family. You have to go home for a funeral. And they know that through scraping your email that is announcing when the service is gonna be, they know you're in a tight spot. So you're gonna be charged much more because of that." Watch the full Lina Khan Episode of Lemonade Stand here:
1:09

Lina Khan: "The holy grail for companies for a long time has been the ability to charge each person what their willingness to pay is. If you're really hungry for lunch, maybe they'll charge you 10 bucks for a burger, but if you're not that hungry, maybe they'll charge you three bucks... Now there's so much data collected about individual people that there is a serious worry that companies will be able to do this. And actually Delta Airlines just announced on their earnings call that they're gonna start using some of these algorithms to price some of their tickets. And so imagine a world in which you have the death in the family. You have to go home for a funeral. And they know that through scraping your email that is announcing when the service is gonna be, they know you're in a tight spot. So you're gonna be charged much more because of that." Watch the full Lina Khan Episode of Lemonade Stand here:

More Perfect Union

171,665 просмотров • 1 год назад