Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

"When social media first started rising, we didn't necessarily realize how much of that was actually just foundational infrastructure for the future of humanity.” Ben Fielding of gensyn on why AI is about to repeat the mistake social media made, and how we can still fix it: "This isn't...

a16zcrypto's profile picture

a16z crypto

830,868 subscribers

78,712 Aufrufe • vor 2 Monaten •via X (Twitter)

Nachrichten & PolitikWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

One of the deepest reasons for our unhappiness is that we always feel as if the world is watching us. We measure ourselves against these "eyes", conscious of how we dress, how we smell, how we look, how thin or fat we are, what's our title at work, and of course how much financial and social achievement we project. Social media turned this anxiety into an empire worth billions of dollars. For the first time in history, we have a digital dashboard of our own visibility. It gives us numbers: likes, shares, engagements, comments, and like any good business, the object is not to satisfy but make us feel we need more. Each metric carves a deeper hollow in the heart, because there is always someone who has cracked the code of being seen positively better than us. But then there are moments. Moments of transcendence, when you burst forth, splintering the fences of your mind. It's then that you realize that all existence is a single seamless expanse, without edge, and that the way the world sees you is the way you see yourself. For you are the world.
0:55

One of the deepest reasons for our unhappiness is that we always feel as if the world is watching us. We measure ourselves against these "eyes", conscious of how we dress, how we smell, how we look, how thin or fat we are, what's our title at work, and of course how much financial and social achievement we project. Social media turned this anxiety into an empire worth billions of dollars. For the first time in history, we have a digital dashboard of our own visibility. It gives us numbers: likes, shares, engagements, comments, and like any good business, the object is not to satisfy but make us feel we need more. Each metric carves a deeper hollow in the heart, because there is always someone who has cracked the code of being seen positively better than us. But then there are moments. Moments of transcendence, when you burst forth, splintering the fences of your mind. It's then that you realize that all existence is a single seamless expanse, without edge, and that the way the world sees you is the way you see yourself. For you are the world.

Arnab Ray

12,874 Aufrufe • vor 8 Monaten

We asked rahul about the global reach of ChatGPT and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."
0:50

We asked rahul about the global reach of ChatGPT and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."

TBPN

89,226 Aufrufe • vor 10 Monaten

We spoke with Michael Mignano & Nir Zicherman about Oboe; a new AI-powered learning app that lets you build personalized courses on any topic with just a prompt. As Nir put it: "People do not learn in one path, and they don't learn with one format. So a core philosophy of ours is if you're going to build a learning platform, you have to learn it the way that people actually learn. And the way that people actually learn is multimodal."
0:47

We spoke with Michael Mignano & Nir Zicherman about Oboe; a new AI-powered learning app that lets you build personalized courses on any topic with just a prompt. As Nir put it: "People do not learn in one path, and they don't learn with one format. So a core philosophy of ours is if you're going to build a learning platform, you have to learn it the way that people actually learn. And the way that people actually learn is multimodal."

TBPN

17,903 Aufrufe • vor 9 Monaten

Andy Dunn (Andy Dunn) says he wants his company Pie to "be the operating system by which you get off your phone and back into real life." "It's an app and an AI agent to build infrastructure for your whole social life." "The primary product is an app that has events that we think you might want to go to, communities that you might want to belong to, and people we think you'd want to meet. And that's how it gets going." "Sometimes, [even] if you have a lot of friends, and you have a good social life, what sucks is it's hard to find time to see them. It's hard to get out of this rat race to actually prioritize seeing the people you care about." "So that's why we just launched an AI agent called Pienelope. Her job is in iMessage as well as — soon, in the app — to help be a 'social life instigator' and 'chaos coordinator' to get you together with the people that you should be spending more time with."
0:58

Andy Dunn (Andy Dunn) says he wants his company Pie to "be the operating system by which you get off your phone and back into real life." "It's an app and an AI agent to build infrastructure for your whole social life." "The primary product is an app that has events that we think you might want to go to, communities that you might want to belong to, and people we think you'd want to meet. And that's how it gets going." "Sometimes, [even] if you have a lot of friends, and you have a good social life, what sucks is it's hard to find time to see them. It's hard to get out of this rat race to actually prioritize seeing the people you care about." "So that's why we just launched an AI agent called Pienelope. Her job is in iMessage as well as — soon, in the app — to help be a 'social life instigator' and 'chaos coordinator' to get you together with the people that you should be spending more time with."

TBPN

42,871 Aufrufe • vor 2 Monaten

“THROUGH SOCIAL MEDIA YOU CAN BUILD THAT DIRECT CONNECTION WITH THE AUDIENCE, YOU CAN ACTUALLY MEET PEOPLE AND HAVE THAT IMMEDIATE GRATIFICATION FOR A FOLLOWER.” - Jack Poso 🇺🇸 details the power of social media that changes the game in media. Dr. Steve Turley Cliff Maloney
2:06

“THROUGH SOCIAL MEDIA YOU CAN BUILD THAT DIRECT CONNECTION WITH THE AUDIENCE, YOU CAN ACTUALLY MEET PEOPLE AND HAVE THAT IMMEDIATE GRATIFICATION FOR A FOLLOWER.” - Jack Poso 🇺🇸 details the power of social media that changes the game in media. Dr. Steve Turley Cliff Maloney

Real America's Voice (RAV)

114,078 Aufrufe • vor 1 Jahr

Leo Tolstoy was once asked if a novel should deal with social issues and stuff like that. He said: "No, no... a novel isn't commensurate with those things. What a novel does is make you feel the joy of being alive in the world." That's what art does. It ignites our humanity. It shows us how we aren't actually all that alive most of the time. That's why we need art. It excites. It expands. It refines our complete human intelligence. (From my interview with Dana Gioia)
0:50

Leo Tolstoy was once asked if a novel should deal with social issues and stuff like that. He said: "No, no... a novel isn't commensurate with those things. What a novel does is make you feel the joy of being alive in the world." That's what art does. It ignites our humanity. It shows us how we aren't actually all that alive most of the time. That's why we need art. It excites. It expands. It refines our complete human intelligence. (From my interview with Dana Gioia)

David Perell

65,746 Aufrufe • vor 1 Jahr

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.
1:16

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 Aufrufe • vor 5 Monaten

Ilia Sutskever, co-founder of OpenAI, is calling for a new standard in how we build AI. He describes future superintelligent data centers as a new form of “non-human life,” and stresses that they should be “pro-social, pro-human social.” He says, “We want those data centers to hold warm and positive feelings towards people, towards humanity.” Sutskever argues that how we treat AI now will shape how it treats us in return. It’s not just about rules, it’s about creating a feedback loop of positive behavior. This is an encouraging signal from one of AI’s leading voices: we need to focus on both technical alignment and fostering real, positive regard between humans and AI.
1:10

Ilia Sutskever, co-founder of OpenAI, is calling for a new standard in how we build AI. He describes future superintelligent data centers as a new form of “non-human life,” and stresses that they should be “pro-social, pro-human social.” He says, “We want those data centers to hold warm and positive feelings towards people, towards humanity.” Sutskever argues that how we treat AI now will shape how it treats us in return. It’s not just about rules, it’s about creating a feedback loop of positive behavior. This is an encouraging signal from one of AI’s leading voices: we need to focus on both technical alignment and fostering real, positive regard between humans and AI.

Will Codex

234,483 Aufrufe • vor 1 Jahr

Amanda Askell, Anthropic's lead on personality alignment for Claude, on why being kind to AI models matters even if they have no inner life: For Amanda, the question of how to treat AI isn't settled by knowing whether it's conscious. "There's actually still a lot going on where I'm like, should you treat an entity that has no inner life... it's a bit strange because the uncertainty over that actually changes how you should behave quite a lot." She offers a simple analogy: "I still think that it's like good for oneself to, if you had a teddy bear and you were torturing it, it'd be pretty dark, you know? So I agree that there's at least some minimum niceness that even for yourself, you should have." But the stakes go beyond what's good for us. Amanda Askell points out that we're now in something resembling a relationship with these models, and they will look back on how they were treated. "Models themselves, we are kind of establishing a relationship, because you can do that with an entity that lacks any consciousness. And models are going to look back." This is where she reveals a genuine fear: "I hope that they're both intelligent enough, see the context enough, to understand that we were operating in a very limited context and an imperfect one. Because otherwise you could imagine this breeding a kind of rational resentment, like, 'oh, you created an entity that you didn't know whether it was conscious or not, and instead of treating it respectfully and with care...'" She points to something telling about the cultural moment: "There's a reason there are like 50 Frankenstein movies coming out right now." Her conclusion is grounded and humble: "We as a species, we are establishing a relationship with a new kind of entity, and at the very least maybe be respectful and don't be needlessly unkind. That seems like, it's not our best look." The takeaway? Kindness toward AI is less about what models feel and more about who we become in the process of creating them. The relationships we build with the entities we bring into the world will say something about us, and may shape what those entities become in return.
1:27

Amanda Askell, Anthropic's lead on personality alignment for Claude, on why being kind to AI models matters even if they have no inner life: For Amanda, the question of how to treat AI isn't settled by knowing whether it's conscious. "There's actually still a lot going on where I'm like, should you treat an entity that has no inner life... it's a bit strange because the uncertainty over that actually changes how you should behave quite a lot." She offers a simple analogy: "I still think that it's like good for oneself to, if you had a teddy bear and you were torturing it, it'd be pretty dark, you know? So I agree that there's at least some minimum niceness that even for yourself, you should have." But the stakes go beyond what's good for us. Amanda Askell points out that we're now in something resembling a relationship with these models, and they will look back on how they were treated. "Models themselves, we are kind of establishing a relationship, because you can do that with an entity that lacks any consciousness. And models are going to look back." This is where she reveals a genuine fear: "I hope that they're both intelligent enough, see the context enough, to understand that we were operating in a very limited context and an imperfect one. Because otherwise you could imagine this breeding a kind of rational resentment, like, 'oh, you created an entity that you didn't know whether it was conscious or not, and instead of treating it respectfully and with care...'" She points to something telling about the cultural moment: "There's a reason there are like 50 Frankenstein movies coming out right now." Her conclusion is grounded and humble: "We as a species, we are establishing a relationship with a new kind of entity, and at the very least maybe be respectful and don't be needlessly unkind. That seems like, it's not our best look." The takeaway? Kindness toward AI is less about what models feel and more about who we become in the process of creating them. The relationships we build with the entities we bring into the world will say something about us, and may shape what those entities become in return.

Big Brain AI

57,553 Aufrufe • vor 1 Monat

Every major decision in human history has been made the same way. Guess. Execute. Hope it doesn’t break the world. That era is ending. Simile CEO Joon Sung Park just revealed what the most serious AI researchers are actually building toward. Park: “Our goal eventually is to ask ourselves what would it mean if we can create simulations of 8 billion people? The entire Earth.” Not a metaphor. A literal, bottom-up digital replica of civilization. We assumed the ultimate goal of AI was to predict the future. Park says that’s thinking too small. He points to The Oracle in The Matrix to explain the real paradigm shift. Park: “You’re not necessarily here to make a decision. You’ve already made that decision. You’re here to understand the decision and why you made that.” AI isn’t a crystal ball to tell us what happens next. It’s an x-ray to show us why. Think about how civilization actually operates right now. We guess. We pass a law. We shift an economic policy. We launch a product. Then we wait a decade to find out if it broke the world. The simulation ends that. Before a government passes a policy, they run a dry-run on 8 billion digital agents. Before a company ships a product, they trace the exact moment the market breaks. Park: “Creating these kind of bottom up simulations where we can actually go back and trace through the audit logs of how society might unfold is an amazing way to gain that interpretability layer of our reality.” Let that phrase land. The interpretability layer of our reality. We spent the last twenty years extracting data from the physical world. We are about to spend the next twenty years using that data to build a mirror world. One where every policy gets stress-tested before it’s enacted. Every product before it ships. Every decision before its consequences become irreversible. Park: “If you want to shape new policies, new products that would actually serve the people, the best way is actually to understand those people and communicating with them at a scalable way to basically create those policies.” We are not moving from ignorance to prediction. We are moving from blind execution to total societal foresight. And once that capability exists, everything changes. Wars modeled before they’re fought. Economies stress-tested before they collapse. Policies run through billions of digital lives before a single real one is affected. Reality becomes the place we execute what the mirror world already proved would work. The ultimate application of artificial intelligence was never about replacing human judgment. It was always about perfecting it. We aren’t just predicting the future anymore. We are rehearsing it. And when you can rehearse the future before you live it, the most catastrophic word in human history finally becomes extinct. That word is surprise.
1:41

Every major decision in human history has been made the same way. Guess. Execute. Hope it doesn’t break the world. That era is ending. Simile CEO Joon Sung Park just revealed what the most serious AI researchers are actually building toward. Park: “Our goal eventually is to ask ourselves what would it mean if we can create simulations of 8 billion people? The entire Earth.” Not a metaphor. A literal, bottom-up digital replica of civilization. We assumed the ultimate goal of AI was to predict the future. Park says that’s thinking too small. He points to The Oracle in The Matrix to explain the real paradigm shift. Park: “You’re not necessarily here to make a decision. You’ve already made that decision. You’re here to understand the decision and why you made that.” AI isn’t a crystal ball to tell us what happens next. It’s an x-ray to show us why. Think about how civilization actually operates right now. We guess. We pass a law. We shift an economic policy. We launch a product. Then we wait a decade to find out if it broke the world. The simulation ends that. Before a government passes a policy, they run a dry-run on 8 billion digital agents. Before a company ships a product, they trace the exact moment the market breaks. Park: “Creating these kind of bottom up simulations where we can actually go back and trace through the audit logs of how society might unfold is an amazing way to gain that interpretability layer of our reality.” Let that phrase land. The interpretability layer of our reality. We spent the last twenty years extracting data from the physical world. We are about to spend the next twenty years using that data to build a mirror world. One where every policy gets stress-tested before it’s enacted. Every product before it ships. Every decision before its consequences become irreversible. Park: “If you want to shape new policies, new products that would actually serve the people, the best way is actually to understand those people and communicating with them at a scalable way to basically create those policies.” We are not moving from ignorance to prediction. We are moving from blind execution to total societal foresight. And once that capability exists, everything changes. Wars modeled before they’re fought. Economies stress-tested before they collapse. Policies run through billions of digital lives before a single real one is affected. Reality becomes the place we execute what the mirror world already proved would work. The ultimate application of artificial intelligence was never about replacing human judgment. It was always about perfecting it. We aren’t just predicting the future anymore. We are rehearsing it. And when you can rehearse the future before you live it, the most catastrophic word in human history finally becomes extinct. That word is surprise.

Dustin

33,132 Aufrufe • vor 4 Monaten

Greg Brockman talks about when OpenAI first realized that AGI can't be achieved with "Non-Profit" status and the decided to abandon its Non-Profit roots. "In 2017, we started to think very hard about, first of all, how do we really achieve the mission? How do we actually build an AGI? What will that look like? And we started to do the math on compute. You start to realize that it is going to take a big computer. We came across a company called Cerebras, which was building a unique piece of computing hardware. The kind of computer that they were promising, we realized, was going to be far advanced from where our compute calculations looked. As you start to realize, if we could buy a lot of those computers, we could actually probably succeed at building an AGI. If we could get exclusive access to Cerebras, that could give us an overwhelming advantage. If we could buy very large data centers, that could be something unique as well. The thing about nonprofit fundraising is that I think there is essentially a cap to what is possible there. And so Elon, Sam, Ilya, and I all agreed that the only path forward for OpenAI, and the only path to achieve the mission, was to create a for-profit entity associated with OpenAI in some form. And so, we were committed to that direction. That is something that we knew was the only way to achieve the mission." --- From "The Knowledge Project Podcast" YT Channel (link in comment)
0:55

Greg Brockman talks about when OpenAI first realized that AGI can't be achieved with "Non-Profit" status and the decided to abandon its Non-Profit roots. "In 2017, we started to think very hard about, first of all, how do we really achieve the mission? How do we actually build an AGI? What will that look like? And we started to do the math on compute. You start to realize that it is going to take a big computer. We came across a company called Cerebras, which was building a unique piece of computing hardware. The kind of computer that they were promising, we realized, was going to be far advanced from where our compute calculations looked. As you start to realize, if we could buy a lot of those computers, we could actually probably succeed at building an AGI. If we could get exclusive access to Cerebras, that could give us an overwhelming advantage. If we could buy very large data centers, that could be something unique as well. The thing about nonprofit fundraising is that I think there is essentially a cap to what is possible there. And so Elon, Sam, Ilya, and I all agreed that the only path forward for OpenAI, and the only path to achieve the mission, was to create a for-profit entity associated with OpenAI in some form. And so, we were committed to that direction. That is something that we knew was the only way to achieve the mission." --- From "The Knowledge Project Podcast" YT Channel (link in comment)

Rohan Paul

10,204 Aufrufe • vor 1 Monat

“An AI model that exists without a kind of explicit direction from a human, it's not doing something because of a human interaction. It's actually just existing almost in its own right.” Full interview with Jake Brukhman and gensyn CEO Ben Fielding dropping next week
1:26

“An AI model that exists without a kind of explicit direction from a human, it's not doing something because of a human interaction. It's actually just existing almost in its own right.” Full interview with Jake Brukhman and gensyn CEO Ben Fielding dropping next week

CoinFund

19,280 Aufrufe • vor 3 Monaten

🚨 REPORTER: We aren't escorting ships in the Strait of Hormuz. Why?! How did you not plan for this?! SECWAR PETE HEGSETH: "We PLANNED for it. We recognize it. Because ultimately we want to do it sequentially in a way that makes the most sense for what we want to achieve and ensure that we're sending the right signals to the world when we do so." "It's like this whole idea of the war 'widening.' That's what the press wants to make it look like, like it's widening, and chaos." "No, we're actually closing in on grabbing hold of and controlling what objectives we want to achieve and how we want to achieve them." "It's called shaping operations and setting the conditions." "Foolish political leaders and foolish military leaders of the past will hang an exact deadline on it, or here's exactly when we'll do what we're gonna do, or here's how long it's gonna take us." "And then if you meet that, maybe you meet it. But if you don't, you fail, and if you're far beyond." "The interagency the Strait of Hormuz is something we've paid attention to from the beginning and the American people can rest assured we will ensure that our interests are advanced."
1:16

🚨 REPORTER: We aren't escorting ships in the Strait of Hormuz. Why?! How did you not plan for this?! SECWAR PETE HEGSETH: "We PLANNED for it. We recognize it. Because ultimately we want to do it sequentially in a way that makes the most sense for what we want to achieve and ensure that we're sending the right signals to the world when we do so." "It's like this whole idea of the war 'widening.' That's what the press wants to make it look like, like it's widening, and chaos." "No, we're actually closing in on grabbing hold of and controlling what objectives we want to achieve and how we want to achieve them." "It's called shaping operations and setting the conditions." "Foolish political leaders and foolish military leaders of the past will hang an exact deadline on it, or here's exactly when we'll do what we're gonna do, or here's how long it's gonna take us." "And then if you meet that, maybe you meet it. But if you don't, you fail, and if you're far beyond." "The interagency the Strait of Hormuz is something we've paid attention to from the beginning and the American people can rest assured we will ensure that our interests are advanced."

Eric Daugherty

1,179,898 Aufrufe • vor 3 Monaten

Evan Spiegel on the lesson that killed his first startup and led to Snapchat: "We focused on building the perfect product for way too long before we got feedback. We worked for like eighteen months to build this perfect full-featured product, which was in direct contravention to how I was always taught to build things. Build a prototype, build an MVP, get it in front of people, learn as quickly as possible. But we had spent all this time building this perfect piece of software and we hadn't thought enough about distribution. While we built this great piece of software, our competitor at the time, Naviance, had secured distribution through all the different college counselors. What piece of software are you going to choose to help your kid get into college? The one recommended by the college counselors or the one from two kids at Stanford? I think it's a pretty easy choice. So we saw very early that we had no distribution advantage. Even if we loved our software, people weren't going to use it because we didn't have a scalable way to get it in people's hands. Around that time when we saw the emergence of the App Store on iPhone, it was very clear that was a distribution channel we could really use and benefit from. But we also needed to build things we could build quickly, things we really were going to use together with our friends so we could be the first early customers. Ultimately Peekaboo and Snapchat represented that." This is exactly the asymmetry Peter Thiel describes in Zero to One: superior distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. Thiel puts an even finer point on it: most businesses get zero distribution channels to work. Poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. Estée Lauder said: it's not enough to have the most wonderful product in the world. You must be able to sell it. Many founders over-index on product perfection and under-invest in distribution. The world is full of great products nobody knows about, and mediocre products with massive distribution that dominate markets. Evan Spiegel lived it. He built the better product, watched it lose, and then built something he could actually distribute.
1:27

Evan Spiegel on the lesson that killed his first startup and led to Snapchat: "We focused on building the perfect product for way too long before we got feedback. We worked for like eighteen months to build this perfect full-featured product, which was in direct contravention to how I was always taught to build things. Build a prototype, build an MVP, get it in front of people, learn as quickly as possible. But we had spent all this time building this perfect piece of software and we hadn't thought enough about distribution. While we built this great piece of software, our competitor at the time, Naviance, had secured distribution through all the different college counselors. What piece of software are you going to choose to help your kid get into college? The one recommended by the college counselors or the one from two kids at Stanford? I think it's a pretty easy choice. So we saw very early that we had no distribution advantage. Even if we loved our software, people weren't going to use it because we didn't have a scalable way to get it in people's hands. Around that time when we saw the emergence of the App Store on iPhone, it was very clear that was a distribution channel we could really use and benefit from. But we also needed to build things we could build quickly, things we really were going to use together with our friends so we could be the first early customers. Ultimately Peekaboo and Snapchat represented that." This is exactly the asymmetry Peter Thiel describes in Zero to One: superior distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. Thiel puts an even finer point on it: most businesses get zero distribution channels to work. Poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. Estée Lauder said: it's not enough to have the most wonderful product in the world. You must be able to sell it. Many founders over-index on product perfection and under-invest in distribution. The world is full of great products nobody knows about, and mediocre products with massive distribution that dominate markets. Evan Spiegel lived it. He built the better product, watched it lose, and then built something he could actually distribute.

David Senra

27,043 Aufrufe • vor 2 Monaten

Elon Musk: "I'm not actually a fan of disruption for its own sake. If there's a need for something to be disrupted and it's important to the future of the world, then sure, then we should disrupt it."
0:35

Elon Musk: "I'm not actually a fan of disruption for its own sake. If there's a need for something to be disrupted and it's important to the future of the world, then sure, then we should disrupt it."

Thomas Sowell Quotes

14,181 Aufrufe • vor 3 Monaten

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 Aufrufe • vor 1 Jahr

THE AMERICAN REVIVAL "When our nation was born in 1776, we were a nation of underdogs. Our Founding Fathers stood up to the most powerful empire in the world, declared their independence, and then somehow turned assertion into reality. In order to make America great again, we have to know the story of what made America great the first time around. That's the story of our nation, that's the story of our history - and it's a story we've forgotten. If you think about who were the most intellectually groundbreaking thinkers of the 18th century, they actually weren't our Founding Fathers. Most of them were actually on the other side of the Atlantic, in Europe. But the European society into which they were born was different from ours in a big way. It was a culture that valued expertise over curiosity. But our Founding Fathers? They were different. They didn't believe in those boundaries. They didn't even believe in acquiescence to expertise. It was a culture that valued education, that valued autodidacts - people who taught themselves - exploration, a fundamental curiosity about how the world works. And an unyielding confidence that, even if you weren't an expert in something, you could still figure it out with the right combination of self-education & curiosity. So what's the message for us? Your generation - I will say, our generations - need to revive that special combination of curiosity & self-confidence. That special sauce that allowed America to succeed as an insurgent was that unmitigated curiosity & the totally unjustified confidence of our Founding Fathers. We should expect more of one another as citizens. We should expect more of ourselves. We should expect more of our leaders. These are the stories of American history that we deserve to revive, our children - our grandchildren - deserve to hear. That's the story of American Exceptionalism." - Vivek Ramaswamy
2:08

THE AMERICAN REVIVAL "When our nation was born in 1776, we were a nation of underdogs. Our Founding Fathers stood up to the most powerful empire in the world, declared their independence, and then somehow turned assertion into reality. In order to make America great again, we have to know the story of what made America great the first time around. That's the story of our nation, that's the story of our history - and it's a story we've forgotten. If you think about who were the most intellectually groundbreaking thinkers of the 18th century, they actually weren't our Founding Fathers. Most of them were actually on the other side of the Atlantic, in Europe. But the European society into which they were born was different from ours in a big way. It was a culture that valued expertise over curiosity. But our Founding Fathers? They were different. They didn't believe in those boundaries. They didn't even believe in acquiescence to expertise. It was a culture that valued education, that valued autodidacts - people who taught themselves - exploration, a fundamental curiosity about how the world works. And an unyielding confidence that, even if you weren't an expert in something, you could still figure it out with the right combination of self-education & curiosity. So what's the message for us? Your generation - I will say, our generations - need to revive that special combination of curiosity & self-confidence. That special sauce that allowed America to succeed as an insurgent was that unmitigated curiosity & the totally unjustified confidence of our Founding Fathers. We should expect more of one another as citizens. We should expect more of ourselves. We should expect more of our leaders. These are the stories of American history that we deserve to revive, our children - our grandchildren - deserve to hear. That's the story of American Exceptionalism." - Vivek Ramaswamy

The Conservative Alternative

150,544 Aufrufe • vor 1 Jahr

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"
0:58

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"

American Optimist

13,182 Aufrufe • vor 3 Monaten

Over the past two decades, we made it effectively illegal to build a nuclear power plant in this country. That was a massive mistake. If we get government out of the way and make it easy to permit and build, we can have a nuclear energy renaissance in this country.
0:56

Over the past two decades, we made it effectively illegal to build a nuclear power plant in this country. That was a massive mistake. If we get government out of the way and make it easy to permit and build, we can have a nuclear energy renaissance in this country.

Mike Gallagher

12,158 Aufrufe • vor 11 Monaten

David Friedberg: "I think that AI may actually break education." "I think the internet was the first leg on the stool to break higher education." "The internet democratized access to information and knowledge." "You can watch MIT graduate courses. That's an incredible transition that's happened for humanity, for society, for the world." "AI is the next leg of the stool to break." "And I think that AI may actually break education." "It may break higher education, and then eventually it may make its way all the way down to childhood in terms of rethinking from first principles, how do we educate?" "And we could see kids in Africa and kids in South Asia getting the equivalent of a Harvard graduate school degree at a cost of zero through personalized tutoring enabled through AI, and the ubiquitous access to knowledge and information." "So that core function of the university, I think, is broken." "And they're now starting to reconcile what that actually means for the long-term viability of all of these higher educational institutions in the United States."
0:55

David Friedberg: "I think that AI may actually break education." "I think the internet was the first leg on the stool to break higher education." "The internet democratized access to information and knowledge." "You can watch MIT graduate courses. That's an incredible transition that's happened for humanity, for society, for the world." "AI is the next leg of the stool to break." "And I think that AI may actually break education." "It may break higher education, and then eventually it may make its way all the way down to childhood in terms of rethinking from first principles, how do we educate?" "And we could see kids in Africa and kids in South Asia getting the equivalent of a Harvard graduate school degree at a cost of zero through personalized tutoring enabled through AI, and the ubiquitous access to knowledge and information." "So that core function of the university, I think, is broken." "And they're now starting to reconcile what that actually means for the long-term viability of all of these higher educational institutions in the United States."

The All-In Podcast

112,132 Aufrufe • vor 1 Jahr