Loading video...

Video Failed to Load

Go Home

Ray Dalio: “AI is eating everything… and it might eat itself.” Ray Dalio: “Right now it looks to me like AI basically is eating everything and it might eat itself.” “What I mean by that is not produce adequate profits.” “When we look at the bubble question on AI,...

theallinpod's profile picture

The All-In Podcast

585,994 subscribers

74,077 views • 5 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

RAY DALIO JUST SAID HE THINKS THE AI BUBBLE IS GOING TO POP On Bloomberg, he laid out exactly when, why, and how he sees it happening. He also compared the current market to two specific years: "We are right now rising closer to, not at, the same level in 2000 and the same level in 1929, a specific level where you say, oh no, here's the one that we really need to worry about." On all tech revolutions: "All great technology changes produce bubbles. And the reason they produce bubbles is because nobody can get it exactly right." On the mechanism that pops bubbles: "There's a bubble, and then there's the pricking of the bubble. The pricking of the bubble happens when there's a need for wealth to be sold to get the money." On the wealth gap that comes with it: "A very small percentage of the population is going to do unbelievably and a lot of people won't." On a political solution: "I'm not optimistic on us working together to solve." He says the technology is real. The prices and the debt are the problem.
4:26

RAY DALIO JUST SAID HE THINKS THE AI BUBBLE IS GOING TO POP On Bloomberg, he laid out exactly when, why, and how he sees it happening. He also compared the current market to two specific years: "We are right now rising closer to, not at, the same level in 2000 and the same level in 1929, a specific level where you say, oh no, here's the one that we really need to worry about." On all tech revolutions: "All great technology changes produce bubbles. And the reason they produce bubbles is because nobody can get it exactly right." On the mechanism that pops bubbles: "There's a bubble, and then there's the pricking of the bubble. The pricking of the bubble happens when there's a need for wealth to be sold to get the money." On the wealth gap that comes with it: "A very small percentage of the population is going to do unbelievably and a lot of people won't." On a political solution: "I'm not optimistic on us working together to solve." He says the technology is real. The prices and the debt are the problem.

WOLF

183,702 views • 2 months ago

Former Intel CEO explains what broke the company: We let the bean counters push out the technologists @jason: “You spent a long time at Intel, 34 years. Probably one of the greatest American companies ever, and then absolutely went off the rails. What were the mistakes?” Pat Gelsinger: “I remember when I joined the executive staff for the first time, probably 15 of the 20 people that were in the room were PhDs. It was just that technical. One of the things that went off the rails was when it started to be run by business people, as opposed to technical people.” Jason: “The bean counters, the finance people.” Pat Gelsinger: “Yeah. In the 5-6 years before I came back, Intel gave $100 billion to shareholders (in dividends and buybacks). What I wouldn't have done for another $100 billion. (Intel) hadn't built a new factory in a decade when I got there. It's like, how can you not be building? How could you not buy EUV machines? There's just all of these things that you would only do as a technologist because the economics behind them by themselves were not good. If you look at the great technology companies today, they're deeply technical… And when you're making these hardcore technical decisions that affect billions of dollars, you don't do that through a spreadsheet.” --------------------------- Thanks to our partners for making this possible! Airwallex is a leading global payments and financial platform for modern businesses, offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 20% off! Which is also available on Amazon: (Code: ALLIN20X)
1:15

Former Intel CEO explains what broke the company: We let the bean counters push out the technologists @jason: “You spent a long time at Intel, 34 years. Probably one of the greatest American companies ever, and then absolutely went off the rails. What were the mistakes?” Pat Gelsinger: “I remember when I joined the executive staff for the first time, probably 15 of the 20 people that were in the room were PhDs. It was just that technical. One of the things that went off the rails was when it started to be run by business people, as opposed to technical people.” Jason: “The bean counters, the finance people.” Pat Gelsinger: “Yeah. In the 5-6 years before I came back, Intel gave $100 billion to shareholders (in dividends and buybacks). What I wouldn't have done for another $100 billion. (Intel) hadn't built a new factory in a decade when I got there. It's like, how can you not be building? How could you not buy EUV machines? There's just all of these things that you would only do as a technologist because the economics behind them by themselves were not good. If you look at the great technology companies today, they're deeply technical… And when you're making these hardcore technical decisions that affect billions of dollars, you don't do that through a spreadsheet.” --------------------------- Thanks to our partners for making this possible! Airwallex is a leading global payments and financial platform for modern businesses, offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 20% off! Which is also available on Amazon: (Code: ALLIN20X)

The All-In Podcast

36,068 views • 1 month ago

Ray Dalio's Three Pillars of a Successful Nation 1) Education that fosters productivity and civility “You have to educate your children well so that they are capable of being productive. And also educate them in civility.” 2) An economic environment that is productive, competitive, and civil “Then, they have to come out to an environment that is orderly and civil, where people can compete and work with each other to be productive.” 3) No wars “You have to stay out of wars. No civil war and no international war.” “If you do those three things right, you will have a successful country. We're having problems with those.” Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance.
0:38

Ray Dalio's Three Pillars of a Successful Nation 1) Education that fosters productivity and civility “You have to educate your children well so that they are capable of being productive. And also educate them in civility.” 2) An economic environment that is productive, competitive, and civil “Then, they have to come out to an environment that is orderly and civil, where people can compete and work with each other to be productive.” 3) No wars “You have to stay out of wars. No civil war and no international war.” “If you do those three things right, you will have a successful country. We're having problems with those.” Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance.

The All-In Podcast

27,712 views • 6 months ago

Trump will be known as the AI president in his second term. All of the productivity, all of the performance of the economy, all of the things we're seeing across all 11 sectors in small and large business around what happened with AI, is accruing on his watch. I'd be talking a lot about the fact that he delivered a technology for both defense, education, medicine, and everything else that is bringing major benefits to the entire American population. They may not see yet, but they can start to feel it. I would take credit for that, and he hasn't done that yet. I bet by the time we go into the general, he will. He's the luckiest president on Earth to get that benefit.
1:06

Trump will be known as the AI president in his second term. All of the productivity, all of the performance of the economy, all of the things we're seeing across all 11 sectors in small and large business around what happened with AI, is accruing on his watch. I'd be talking a lot about the fact that he delivered a technology for both defense, education, medicine, and everything else that is bringing major benefits to the entire American population. They may not see yet, but they can start to feel it. I would take credit for that, and he hasn't done that yet. I bet by the time we go into the general, he will. He's the luckiest president on Earth to get that benefit.

Kevin O'Leary aka Mr. Wonderful

37,238 views • 26 days ago

Sequoia’s Carl Eschenbach says the SaaSpocalypse narrative is "completely overblown," and that it's not a zero-sum game between incumbent SaaS and AI-native newcomers: "Incumbency is incredibly powerful in enterprise. Incumbency is even more powerful when a company like Workday has a 98% gross retention rate across 11,000 customers, with 65%+ of them being Fortune 500 companies. They’re not going anywhere." "That all being said, [with] the pace and rate of change that can happen outside of the big incumbents and big SaaS companies...[new companies] have an opportunity to start completely fresh, and start from scratch." "They get to leverage all the technologies and all the models that are out there, and build agents and agentic solutions faster than anyone else. And they're going to be able to go into the enterprise and provide value on day one, either on their own, or on top of and through some of these SaaS companies."
2:38

Sequoia’s Carl Eschenbach says the SaaSpocalypse narrative is "completely overblown," and that it's not a zero-sum game between incumbent SaaS and AI-native newcomers: "Incumbency is incredibly powerful in enterprise. Incumbency is even more powerful when a company like Workday has a 98% gross retention rate across 11,000 customers, with 65%+ of them being Fortune 500 companies. They’re not going anywhere." "That all being said, [with] the pace and rate of change that can happen outside of the big incumbents and big SaaS companies...[new companies] have an opportunity to start completely fresh, and start from scratch." "They get to leverage all the technologies and all the models that are out there, and build agents and agentic solutions faster than anyone else. And they're going to be able to go into the enterprise and provide value on day one, either on their own, or on top of and through some of these SaaS companies."

TBPN

21,090 views • 5 months ago

Former BlackRock fund manager Ed Dowd on the AI bubble "pop" "we're at maximum AI hype right now" "they're [punching] out three IPOs, SpaceX, Anthropic and OpenAI" "a lot of these companies... [are] not going to go away" "[But] OpenAI may go to zero and Anthropic may go to zero, [and] their assets will be bought up for pennies on the dollar" This clip of Dowd (Edward Dowd), a former BlackRock fund manager and co-founder of Phinance Technologies, is taken from an interview with Greg Hunter (Greg Hunter) posted to Rumble on May 29, 2026. ----------------Partial transcription of clip--------------- "What it means is eventually all this CapEx spending stops because the credit markets and I suspect— we're at maximum AI hype right now because they're trying to punch out three IPOs, SpaceX, Anthropic and OpenAI. And these guys are not making enough money to justify the amount of CapEx they're doing. "The other thing that I think is going to potentially blow up the AI bubble is they don't have enough power to plug in all this CapEx into. "So they're announcing all this CapEx, they're pre-buying equipment and chips but they can't plug it into the power grid. We just don't have enough power to justify all these data center buildouts. The constraining factor is power. "And look, there's a disconnect. I think Wall Street is less focused on the public outrage that's going on that you can see happening all across the country. People are protesting these data centers. College, students are booing commencement speakers that talk about AI. "There seems to be a very, very large anti AI sentiment going on out there which will muck up the works and slow down the data center buildouts politically. "And if you slow down the capex build out, the valuations of all these companies go a lot lower because they rely on you know, exponential growth and when the growth doesn't show up at these valuations they'll pop... "And look a lot of these companies that are doing the AI, Microsoft, Oracle, Google, they're not going to go away. They'll just cut back their CapEx. They won't go bankrupt but their valuations and their earnings will go lower as they write off all these mal investments. So it's not like a lot of companies are going to go bankrupt. I mean, OpenAI may go to zero and Anthropic may go to zero, but their assets will be bought up for pennies on the dollar."
2:38

Former BlackRock fund manager Ed Dowd on the AI bubble "pop" "we're at maximum AI hype right now" "they're [punching] out three IPOs, SpaceX, Anthropic and OpenAI" "a lot of these companies... [are] not going to go away" "[But] OpenAI may go to zero and Anthropic may go to zero, [and] their assets will be bought up for pennies on the dollar" This clip of Dowd (Edward Dowd), a former BlackRock fund manager and co-founder of Phinance Technologies, is taken from an interview with Greg Hunter (Greg Hunter) posted to Rumble on May 29, 2026. ----------------Partial transcription of clip--------------- "What it means is eventually all this CapEx spending stops because the credit markets and I suspect— we're at maximum AI hype right now because they're trying to punch out three IPOs, SpaceX, Anthropic and OpenAI. And these guys are not making enough money to justify the amount of CapEx they're doing. "The other thing that I think is going to potentially blow up the AI bubble is they don't have enough power to plug in all this CapEx into. "So they're announcing all this CapEx, they're pre-buying equipment and chips but they can't plug it into the power grid. We just don't have enough power to justify all these data center buildouts. The constraining factor is power. "And look, there's a disconnect. I think Wall Street is less focused on the public outrage that's going on that you can see happening all across the country. People are protesting these data centers. College, students are booing commencement speakers that talk about AI. "There seems to be a very, very large anti AI sentiment going on out there which will muck up the works and slow down the data center buildouts politically. "And if you slow down the capex build out, the valuations of all these companies go a lot lower because they rely on you know, exponential growth and when the growth doesn't show up at these valuations they'll pop... "And look a lot of these companies that are doing the AI, Microsoft, Oracle, Google, they're not going to go away. They'll just cut back their CapEx. They won't go bankrupt but their valuations and their earnings will go lower as they write off all these mal investments. So it's not like a lot of companies are going to go bankrupt. I mean, OpenAI may go to zero and Anthropic may go to zero, but their assets will be bought up for pennies on the dollar."

Sense Receptor

44,740 views • 2 months ago

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 views • 10 months ago

Ray Dalio on the AI bubble: "this is about 80% into a bubble - that 100% would have been 1929 and 2000" this is him - the Bridgewater founder - reading the AI melt-up against 500 years of bubbles "there's definitely a bubble in the markets" "isn't it amazing? we're talking about one stock for the stock market bubble" "General Electric and RCA - those companies went down 90%, not because of the economy - the bubble burst first because they needed cash" "the need for cash is always that which pricks the bubble" bookmark & watch today ↓
9:02

Ray Dalio on the AI bubble: "this is about 80% into a bubble - that 100% would have been 1929 and 2000" this is him - the Bridgewater founder - reading the AI melt-up against 500 years of bubbles "there's definitely a bubble in the markets" "isn't it amazing? we're talking about one stock for the stock market bubble" "General Electric and RCA - those companies went down 90%, not because of the economy - the bubble burst first because they needed cash" "the need for cash is always that which pricks the bubble" bookmark & watch today ↓

st1ne

99,732 views • 12 days ago

We all know AI is the future of technology. But almost nobody will OWN the technology shaping that future. The AI race is already underway. Billions are being invested. Companies are moving fast. AI is already reshaping entire industries. But when all this value gets created…Who actually benefits? Right now, mostly a handful of billionaires and Big Tech companies. We don’t think that’s fair. If AI is being built on the data, behavior, and contributions of ordinary people… Then ordinary people should share in the value it creates. That’s exactly what we’re building at Action Model: A future where AI is owned by the people, not just the few at the top.
0:25

We all know AI is the future of technology. But almost nobody will OWN the technology shaping that future. The AI race is already underway. Billions are being invested. Companies are moving fast. AI is already reshaping entire industries. But when all this value gets created…Who actually benefits? Right now, mostly a handful of billionaires and Big Tech companies. We don’t think that’s fair. If AI is being built on the data, behavior, and contributions of ordinary people… Then ordinary people should share in the value it creates. That’s exactly what we’re building at Action Model: A future where AI is owned by the people, not just the few at the top.

Action Model

21,305 views • 3 months ago

Travis Kalanick: “AGI is not here yet, and it's silly for folks to say it is.” “When it comes to big companies, I think the big thing about, let's call it the autonomous enterprise, is change management. And change management is about all the people that already work there, the middle managers, the technocrats, the bureaucrats. The change management is a human thing. And it's very tricky with very complex processes, many of which are not even documented. And in theory, it's just all going to happen real fast. But in practice, that's hard. So that's part one. Part two, what I'm seeing with true tech companies, they are fired up about the development, the productivity, the deployment schedule, and the new features they're able to roll out much, much, much faster because they've pivoted their culture, sort of very pro-AI development. Now, there are folks selling their book that are like, ‘Oh, we're at AGI,’ and all this. Anybody who has worked with these agents and done the AI dev stuff, there's a lot of good stuff, but they're not that smart yet. They're just not that smart.”
1:09

Travis Kalanick: “AGI is not here yet, and it's silly for folks to say it is.” “When it comes to big companies, I think the big thing about, let's call it the autonomous enterprise, is change management. And change management is about all the people that already work there, the middle managers, the technocrats, the bureaucrats. The change management is a human thing. And it's very tricky with very complex processes, many of which are not even documented. And in theory, it's just all going to happen real fast. But in practice, that's hard. So that's part one. Part two, what I'm seeing with true tech companies, they are fired up about the development, the productivity, the deployment schedule, and the new features they're able to roll out much, much, much faster because they've pivoted their culture, sort of very pro-AI development. Now, there are folks selling their book that are like, ‘Oh, we're at AGI,’ and all this. Anybody who has worked with these agents and done the AI dev stuff, there's a lot of good stuff, but they're not that smart yet. They're just not that smart.”

The All-In Podcast

112,830 views • 4 months ago

I think the narrative on AI is very much that occurred when television went to color and everybody said it would wipe out radio. It didn't happen. It's a tool. It's a tool for productivity and margin enhancement. It's just starting to get utilized in all 11 sectors of the economy. My companies use it. But it's nowhere near the disruptor that people think. I'm more concerned about Chinese on AI because they have unlimited power. They are not restricted to set up coal-burning electrical plants. We can't do that. AI right now, for me, is a competition on defense and the military in China. I worry that we're falling behind the Chinese on power on our grid, and we haven't addressed it yet. We do not have policy that lets us build out at the same pace they are.
1:37

I think the narrative on AI is very much that occurred when television went to color and everybody said it would wipe out radio. It didn't happen. It's a tool. It's a tool for productivity and margin enhancement. It's just starting to get utilized in all 11 sectors of the economy. My companies use it. But it's nowhere near the disruptor that people think. I'm more concerned about Chinese on AI because they have unlimited power. They are not restricted to set up coal-burning electrical plants. We can't do that. AI right now, for me, is a competition on defense and the military in China. I worry that we're falling behind the Chinese on power on our grid, and we haven't addressed it yet. We do not have policy that lets us build out at the same pace they are.

Kevin O'Leary aka Mr. Wonderful

10,682 views • 8 months ago

Martin Casado says Cursor's founders spend 30-40% of their time on hiring and culture, and that focus is how they iterate so fast: "A lot of these AI companies that I work with are so research-heavy. If you're not working on a new model architecture, it's kind of hard to actually interest the core teams." "They always kept the main thing the main thing, which is changing how you write software. They believed fundamentally it was a product problem... The model's very, very important, but it was a product problem." "There's actually not a lot of companies that are actually focused on product... There's a lot of research companies... But they were like, 'We are a product company.' And I think that's actually a key differentiator in this era." martin_casado w/ sophia dew and Theo Jaffee on MTS
1:25

Martin Casado says Cursor's founders spend 30-40% of their time on hiring and culture, and that focus is how they iterate so fast: "A lot of these AI companies that I work with are so research-heavy. If you're not working on a new model architecture, it's kind of hard to actually interest the core teams." "They always kept the main thing the main thing, which is changing how you write software. They believed fundamentally it was a product problem... The model's very, very important, but it was a product problem." "There's actually not a lot of companies that are actually focused on product... There's a lot of research companies... But they were like, 'We are a product company.' And I think that's actually a key differentiator in this era." martin_casado w/ sophia dew and Theo Jaffee on MTS

a16z

80,346 views • 10 days ago

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce
2:15

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce

Ron Pragides 

231,781 views • 10 months ago

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.
5:13

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

The Peel

209,752 views • 1 year ago

Dario Amodei says AI improving itself is not a moment that is coming, and he put Anthropic's internal number on how fast it is already happening: "I don't think it's a moment in time. I think it's a continuous process. We're already seeing it in some ways, where the AI is able to suggest architectures for the next AI." "I would say a year ago we were seeing 10 to 15% kind of increase in total factor productivity due to AI. Like, that's probably up to 20 or 30% now. It might be doubling. Like, as with all things, we're on the exponential." "There's no moment where AI improves itself or runs out of control or becomes unsafe. What we have is an accelerating exponential. And at each point on the exponential we have to assess, is this a time to slow down? Is this a time to put more controls on this technology? I think more and more of that is going to be required." "But I think the Rosetta Stone to all of this is the smooth exponential." "I think there's an object lesson in the people who were against all AI regulation and then they saw one thing and they wanted to nationalize. I think there's an object lesson in the people who dismissed the power of AI and then said, oh my God, it's improving itself. It's running out of control. We have to shut it all down. Yo-yoing between those extreme reactions is incredibly unhelpful as a response to this technology." "The right response, the wise response, is to say, we're not going to panic. Our countermeasures will smoothly ratchet up with the power of the technology. If you see someone having this kind of crazy yo-yo reaction, that's a sign that they were caught by surprise and that they're not serious." - Dario Amodei (Dario Amodei), CEO of Anthropic, on The Circuit with Emily Chang (Bloomberg Originals).
1:27

Dario Amodei says AI improving itself is not a moment that is coming, and he put Anthropic's internal number on how fast it is already happening: "I don't think it's a moment in time. I think it's a continuous process. We're already seeing it in some ways, where the AI is able to suggest architectures for the next AI." "I would say a year ago we were seeing 10 to 15% kind of increase in total factor productivity due to AI. Like, that's probably up to 20 or 30% now. It might be doubling. Like, as with all things, we're on the exponential." "There's no moment where AI improves itself or runs out of control or becomes unsafe. What we have is an accelerating exponential. And at each point on the exponential we have to assess, is this a time to slow down? Is this a time to put more controls on this technology? I think more and more of that is going to be required." "But I think the Rosetta Stone to all of this is the smooth exponential." "I think there's an object lesson in the people who were against all AI regulation and then they saw one thing and they wanted to nationalize. I think there's an object lesson in the people who dismissed the power of AI and then said, oh my God, it's improving itself. It's running out of control. We have to shut it all down. Yo-yoing between those extreme reactions is incredibly unhelpful as a response to this technology." "The right response, the wise response, is to say, we're not going to panic. Our countermeasures will smoothly ratchet up with the power of the technology. If you see someone having this kind of crazy yo-yo reaction, that's a sign that they were caught by surprise and that they're not serious." - Dario Amodei (Dario Amodei), CEO of Anthropic, on The Circuit with Emily Chang (Bloomberg Originals).

Karl Mehta

50,718 views • 1 month ago

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”
1:03

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”

The All-In Podcast

79,718 views • 1 year ago

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”
2:56

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”

DogeDesigner

64,019 views • 19 days ago

Ray Dalio: AI will change the world but related stocks could still drop 80% On July 17, 2026, in an interview with My First Million, Ray Dalio Ray Dalio stated that during a bubble period, even the most successful companies could see their stock prices plunge by about 80%. He believes that while the emergence of major new technologies brings excitement and reasons to invest, promising technological prospects do not guarantee excellent stock returns due to high valuations and incoming competitors. According to his "bubble gauge," the current market is at 75% of the extreme levels seen in 1929 and 2000. Ray Dalio believes that the pricking of a bubble typically occurs when investors need to convert wealth into cash, frequently triggered by tightening monetary policies or wealth taxes.
2:14

Ray Dalio: AI will change the world but related stocks could still drop 80% On July 17, 2026, in an interview with My First Million, Ray Dalio Ray Dalio stated that during a bubble period, even the most successful companies could see their stock prices plunge by about 80%. He believes that while the emergence of major new technologies brings excitement and reasons to invest, promising technological prospects do not guarantee excellent stock returns due to high valuations and incoming competitors. According to his "bubble gauge," the current market is at 75% of the extreme levels seen in 1929 and 2000. Ray Dalio believes that the pricking of a bubble typically occurs when investors need to convert wealth into cash, frequently triggered by tightening monetary policies or wealth taxes.

Wu Blockchain

25,667 views • 29 days ago