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Most PMs still think in tasks. Write a PRD. Update JIRA. Review designs. AI native PMs think differently. They think in prompts. .Mike Bal calls it "thinking in prompts" and admits it sounded silly at first. But once you integrate AI into daily work, it becomes natural. Instead of...

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Aakash Gupta

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16,788 views • 5 months ago •via X (Twitter)

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"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:
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"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:

Peter Yang

15,973 views • 1 year ago

.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 views • 3 months ago

Elon Musk on the importance of establishing the right values ​​in AGI: “I don't think anyone's ultimately going to have control over digital superintelligence any more than, say, a chimp would have control over humans. Like chimps don't have control over humans. There's nothing they could do. But I do think that it matters how you build the AI and what kind of values you instill in the AI. And my opinion on AI safety is, the most important thing is that it be maximally truth-seeking, like that you don't force the AI to believe things that are false.”
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Elon Musk on the importance of establishing the right values ​​in AGI: “I don't think anyone's ultimately going to have control over digital superintelligence any more than, say, a chimp would have control over humans. Like chimps don't have control over humans. There's nothing they could do. But I do think that it matters how you build the AI and what kind of values you instill in the AI. And my opinion on AI safety is, the most important thing is that it be maximally truth-seeking, like that you don't force the AI to believe things that are false.”

Eva Fo𝕏 🦊 Claudius Nero's Legion

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$FIG CEO Dylan Field describes the AI psychosis he's been seeing among engineers lately: "It feels like there's a lot of tunnel vision right now. Especially for engineers." "[People] get very latched on to an idea. Then the AI psychosis sets in. And you're like, 'This is the best idea ever.' And you're fully tunnel-visioned towards creating it." "And you can show massive progress. But are you going in the right direction?" "I think it's really important to steer, and to actually be building what you need to build. And to think — not just wear a thinking cap."
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$FIG CEO Dylan Field describes the AI psychosis he's been seeing among engineers lately: "It feels like there's a lot of tunnel vision right now. Especially for engineers." "[People] get very latched on to an idea. Then the AI psychosis sets in. And you're like, 'This is the best idea ever.' And you're fully tunnel-visioned towards creating it." "And you can show massive progress. But are you going in the right direction?" "I think it's really important to steer, and to actually be building what you need to build. And to think — not just wear a thinking cap."

TBPN

47,938 views • 2 months ago

🇺🇸 ELON ON AI: “IF YOU CAN THINK OF IT, YOU CAN HAVE IT - THAT WILL BE THE FUTURE” "I'm Confident that AI and robotics will continue to advance -and they are advancing very rapidly- working will become optional. People will be able to have any goods or services they want. If you can think of it, you can have it. But at a certain point, AI will actually saturate everything humans can think of. And then it becomes a situation where AI is doing things for AI and robotics are doing things for AI and robotics, because they are running out of things to do to make humans happy. Because there is a limit, there are only so many people and only so much food. If you can think of it, you can have it. That will be the future." Source: Elon Musk, Nikhil Kamath
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🇺🇸 ELON ON AI: “IF YOU CAN THINK OF IT, YOU CAN HAVE IT - THAT WILL BE THE FUTURE” "I'm Confident that AI and robotics will continue to advance -and they are advancing very rapidly- working will become optional. People will be able to have any goods or services they want. If you can think of it, you can have it. But at a certain point, AI will actually saturate everything humans can think of. And then it becomes a situation where AI is doing things for AI and robotics are doing things for AI and robotics, because they are running out of things to do to make humans happy. Because there is a limit, there are only so many people and only so much food. If you can think of it, you can have it. That will be the future." Source: Elon Musk, Nikhil Kamath

Mario Nawfal

1,398,827 views • 7 months ago

Two years ago today, Elon Musk introduced xAI with these words: “The overarching goal of xAI is to build a good AGI with the purpose of trying to understand the universe. I think the safest AI, the safest way to build an AI is actually make one that is maximally curious and truth seeking. So you go for try to aspire to the truth with acknowledged error. Does one ever actually get fully to the truth? It's not clear, but one should always aspire to that and try to minimize the error between what you think is true and what is actually true. My theory behind the maximally curious, maximally truthful as being probably the safest approach is that I think to a superintelligence, humanity is much more interesting than not humanity. One can look at the various planets in our solar system, the moons and the asteroids, and really probably all of them combined are not as interesting as humanity. As people know, I'm a huge fan of Mars, but Mars is just much less interesting than Earth with humans on it. And so I think that that kind of approach to growing an AI, and I think that is the right word for it, growing an AI is to grow it with that ambition. I've spent many years thinking about AI safety and worrying about AI safety. And I've been one of the strongest voices calling for AI regulation or oversight just to have some kind of oversight, some kind of referee, so that it's not just up to companies to decide what they want to do. I think there's also a lot to be done with AI safety, with industry cooperation. I kind of like Motion Pictures association, so I think there's value to that as well. But I do think there's got to be some like in any kind of situation that is, even if it's a game, they have referees. So I think it is important for there to be regulation. Like I said, my view on safety is like try to make it maximally curious, maximally truth seeking. And I think this is, this is important that you to avoid the inverse morality problem. Like if you try to program a certain morality, you can have the, you, you can basically invert it and get the opposite, what is sometimes called the Waluigi problem. If you make Luigi, you risk creating Waluigi at the same time. So I think that's a metaphor that a lot of people can appreciate.”
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Two years ago today, Elon Musk introduced xAI with these words: “The overarching goal of xAI is to build a good AGI with the purpose of trying to understand the universe. I think the safest AI, the safest way to build an AI is actually make one that is maximally curious and truth seeking. So you go for try to aspire to the truth with acknowledged error. Does one ever actually get fully to the truth? It's not clear, but one should always aspire to that and try to minimize the error between what you think is true and what is actually true. My theory behind the maximally curious, maximally truthful as being probably the safest approach is that I think to a superintelligence, humanity is much more interesting than not humanity. One can look at the various planets in our solar system, the moons and the asteroids, and really probably all of them combined are not as interesting as humanity. As people know, I'm a huge fan of Mars, but Mars is just much less interesting than Earth with humans on it. And so I think that that kind of approach to growing an AI, and I think that is the right word for it, growing an AI is to grow it with that ambition. I've spent many years thinking about AI safety and worrying about AI safety. And I've been one of the strongest voices calling for AI regulation or oversight just to have some kind of oversight, some kind of referee, so that it's not just up to companies to decide what they want to do. I think there's also a lot to be done with AI safety, with industry cooperation. I kind of like Motion Pictures association, so I think there's value to that as well. But I do think there's got to be some like in any kind of situation that is, even if it's a game, they have referees. So I think it is important for there to be regulation. Like I said, my view on safety is like try to make it maximally curious, maximally truth seeking. And I think this is, this is important that you to avoid the inverse morality problem. Like if you try to program a certain morality, you can have the, you, you can basically invert it and get the opposite, what is sometimes called the Waluigi problem. If you make Luigi, you risk creating Waluigi at the same time. So I think that's a metaphor that a lot of people can appreciate.”

ELON CLIPS

21,519 views • 1 year ago

Eddie Hearn: I think the key is really the storytelling because if you're gonna use the level of the fighters that they are using at the moment you need to kind of explain what they are and what it is. #HelwaniShow
1:45

Eddie Hearn: I think the key is really the storytelling because if you're gonna use the level of the fighters that they are using at the moment you need to kind of explain what they are and what it is. #HelwaniShow

Jed I. Goodman ©

13,896 views • 5 months ago

Hassett: "The way to think about what AI and its agents can do is they can act as if they're the best coach you've ever had for whatever job you have. And so while you're trying to figure out, how do I make my boss happy? How do I do what it takes to make the firm successful? It's like you've got a coach right there with you every step of the way."
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Hassett: "The way to think about what AI and its agents can do is they can act as if they're the best coach you've ever had for whatever job you have. And so while you're trying to figure out, how do I make my boss happy? How do I do what it takes to make the firm successful? It's like you've got a coach right there with you every step of the way."

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Elon Musk on the rapid advancement of AI and robotics "I'm confident that if AI and robotics continue to advance which they are advancing very rapidly working will be optional, and people will have any goods and services that they want" AI and robotics are advancing so fast that, eventually, they could satisfy nearly every human need. At that point, abundance becomes the default, and the real question is no longer about production, but purpose "There is a limit people can only eat so much food. But I think if you can think of it, you can have it in the future"
0:56

Elon Musk on the rapid advancement of AI and robotics "I'm confident that if AI and robotics continue to advance which they are advancing very rapidly working will be optional, and people will have any goods and services that they want" AI and robotics are advancing so fast that, eventually, they could satisfy nearly every human need. At that point, abundance becomes the default, and the real question is no longer about production, but purpose "There is a limit people can only eat so much food. But I think if you can think of it, you can have it in the future"

X Freeze

753,513 views • 3 months ago

Puck's Dylan Byers says AI has become a priority for Hollywood, with every major studio exploring how to integrate it into production. "Every studio, even A24, is thinking, 'How do we incorporate AI into what we are doing?'" "The signal that those creators sent with films like Obsession and others is that [using AI in filmmaking] can be done and it can be successful. Does it mean that every human is going away? No. I think that most folks will find ways to incorporate [AI] in ways that do not significantly degrade the value of the content that they're making." "But I think the sky's the limit. Those examples have shown that this can be done and that there is more opportunity here than the folks who are clutching to Hollywood's past have realized."
1:25

Puck's Dylan Byers says AI has become a priority for Hollywood, with every major studio exploring how to integrate it into production. "Every studio, even A24, is thinking, 'How do we incorporate AI into what we are doing?'" "The signal that those creators sent with films like Obsession and others is that [using AI in filmmaking] can be done and it can be successful. Does it mean that every human is going away? No. I think that most folks will find ways to incorporate [AI] in ways that do not significantly degrade the value of the content that they're making." "But I think the sky's the limit. Those examples have shown that this can be done and that there is more opportunity here than the folks who are clutching to Hollywood's past have realized."

TBPN

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Jensen Huang doesn’t use AI to think less. He uses it to think past his own limits. Huang: “90% of my instructions are actually conflated with questions.” The man running a five trillion dollar company doesn’t give AI commands. He interrogates it. Huang: “I take the answer from one AI, give it to the other AI, ask them to critique itself.” Same question. Multiple models. Pit them against each other. Keep only what survives. Not because the machine can’t be trusted. Because challenging it is where the sharpest thinking happens. Huang: “The process of critiquing, criticizing the answers, applying your critical thinking, enhances cognitive skills.” AI doesn’t replace your thinking. It demands more of it than you’ve ever given. Every question takes reasoning. Every answer takes scrutiny. The machine isn’t thinking for you. It’s pulling thinking out of you that didn’t exist before you sat down. Huang: “In order to formulate good questions, you have to be thinking, you have to be analytical, you have to be reasoning yourself.” AI is not the shortcut everyone thinks it is. It is the most powerful cognitive amplifier ever built. It sharpens the engaged. It leaves the passive exactly where they started. Same tool. Same access. The only variable is what you bring to it. The world is debating whether AI will replace human thinking. Wrong conversation. The real question is what happens when a tool built to think for you becomes the thing that forces you to think beyond yourself. That’s not a threat to humanity. That’s the entire point.
1:30

Jensen Huang doesn’t use AI to think less. He uses it to think past his own limits. Huang: “90% of my instructions are actually conflated with questions.” The man running a five trillion dollar company doesn’t give AI commands. He interrogates it. Huang: “I take the answer from one AI, give it to the other AI, ask them to critique itself.” Same question. Multiple models. Pit them against each other. Keep only what survives. Not because the machine can’t be trusted. Because challenging it is where the sharpest thinking happens. Huang: “The process of critiquing, criticizing the answers, applying your critical thinking, enhances cognitive skills.” AI doesn’t replace your thinking. It demands more of it than you’ve ever given. Every question takes reasoning. Every answer takes scrutiny. The machine isn’t thinking for you. It’s pulling thinking out of you that didn’t exist before you sat down. Huang: “In order to formulate good questions, you have to be thinking, you have to be analytical, you have to be reasoning yourself.” AI is not the shortcut everyone thinks it is. It is the most powerful cognitive amplifier ever built. It sharpens the engaged. It leaves the passive exactly where they started. Same tool. Same access. The only variable is what you bring to it. The world is debating whether AI will replace human thinking. Wrong conversation. The real question is what happens when a tool built to think for you becomes the thing that forces you to think beyond yourself. That’s not a threat to humanity. That’s the entire point.

Dustin

19,661 views • 10 days ago

.Balaji on public disclosed AI vs. public undisclosed AI: "Whenever I see a slide deck that has AI content in it, it just shows that either they're dumb or they think you're dumb." "They're dumb because they can't tell the difference between normal text and AI text, or they think you're dumb and they can get one over on you and spend a little bit of effort to just flood you with a bunch of words."
2:20

.Balaji on public disclosed AI vs. public undisclosed AI: "Whenever I see a slide deck that has AI content in it, it just shows that either they're dumb or they think you're dumb." "They're dumb because they can't tell the difference between normal text and AI text, or they think you're dumb and they can get one over on you and spend a little bit of effort to just flood you with a bunch of words."

MTS

35,679 views • 3 months ago

.Mollie to Republicans dealing with the legacy media — understand your opponent for who they really are: “If you understand that you're not just having a debate with an opponent, but your most hostile and most rabid opponent; if you understand that they are propaganda and then you go into it, I think that's one thing." "If you're just treating them like you still have this 1960s view of what the media are, that's when you're going to get in trouble." A-men.
0:38

.Mollie to Republicans dealing with the legacy media — understand your opponent for who they really are: “If you understand that you're not just having a debate with an opponent, but your most hostile and most rabid opponent; if you understand that they are propaganda and then you go into it, I think that's one thing." "If you're just treating them like you still have this 1960s view of what the media are, that's when you're going to get in trouble." A-men.

Western Lensman

151,393 views • 2 months ago

Elon Musk: Programming explicit morality into AI can backfire dangerously. “I do think there's some danger associated with digital superintelligence. I think the biggest issue is that it has to be trained to be rigorously truthful, and it has to be trained to be curious. And I've thought a lot about AI safety for a long time. One of the challenges you have with programming explicit morality into AI is what people sometimes call the Waluigi problem. If you program Luigi, you can automatically invert that and create Waluigi – bad Luigi. What you cannot invert is physical reality. You can't invert the rules of physics. You can't invert logic. I think what regulators should be concerned about is, is the AI being rigorously truthful? Is it giving an answer that is most probably correct with acknowledged error? I think that's the best move, and that's what we're trying to do at xAI.” Viva Tech Paris, May 23, 2024
0:50

Elon Musk: Programming explicit morality into AI can backfire dangerously. “I do think there's some danger associated with digital superintelligence. I think the biggest issue is that it has to be trained to be rigorously truthful, and it has to be trained to be curious. And I've thought a lot about AI safety for a long time. One of the challenges you have with programming explicit morality into AI is what people sometimes call the Waluigi problem. If you program Luigi, you can automatically invert that and create Waluigi – bad Luigi. What you cannot invert is physical reality. You can't invert the rules of physics. You can't invert logic. I think what regulators should be concerned about is, is the AI being rigorously truthful? Is it giving an answer that is most probably correct with acknowledged error? I think that's the best move, and that's what we're trying to do at xAI.” Viva Tech Paris, May 23, 2024

ELON CLIPS

1,262,392 views • 8 months ago

Watch this game-changing dissertation on "expert writing." Expert writers write to "think" about the world. 99% of experts write and think at the same time. They use the writing process to help themselves think. This is how they do their best thinking. Write to think about the world. Do this because you care, because you want to be part of progress, because you want to make a dent in the universe. Write to inspire and influence. And when you are finished writing, and you click publish, think about your work this way... the intent of your text is to cause readers to change the way they think about the world. Engagement metrics don't really matter in comparison. Whether or not your text is valuable, depends on whether or not your readers perceive that you have valuably changed what they think, or what they do, or how they decide. One of the reasons it's so hard for smart people to write well is because they don't write to change the way people think about the world. They write to complete a project, to earn a grade, to be assessed. Or they write to publish *their* thoughts without going through a mental and soulful exercise of writing to think about the world, without writing to change how people think about the world. Write to think about the world. Change how people think about the world. In an era of #GenerativeAI, content isn't the end game. Your goal isn't just to get someone's attention, generate reactions, or show up in search. Your mission is to change how people think about the world. Change How People Think About the World. Thank you, Larry McEnerney (now-retired former Director of the University of Chicago's Writing Program).
3:44

Watch this game-changing dissertation on "expert writing." Expert writers write to "think" about the world. 99% of experts write and think at the same time. They use the writing process to help themselves think. This is how they do their best thinking. Write to think about the world. Do this because you care, because you want to be part of progress, because you want to make a dent in the universe. Write to inspire and influence. And when you are finished writing, and you click publish, think about your work this way... the intent of your text is to cause readers to change the way they think about the world. Engagement metrics don't really matter in comparison. Whether or not your text is valuable, depends on whether or not your readers perceive that you have valuably changed what they think, or what they do, or how they decide. One of the reasons it's so hard for smart people to write well is because they don't write to change the way people think about the world. They write to complete a project, to earn a grade, to be assessed. Or they write to publish *their* thoughts without going through a mental and soulful exercise of writing to think about the world, without writing to change how people think about the world. Write to think about the world. Change how people think about the world. In an era of #GenerativeAI, content isn't the end game. Your goal isn't just to get someone's attention, generate reactions, or show up in search. Your mission is to change how people think about the world. Change How People Think About the World. Thank you, Larry McEnerney (now-retired former Director of the University of Chicago's Writing Program).

Brian Solis

113,698 views • 3 years ago

Mark Cuban said what every CEO in America needs to hear. "There are only two types of companies in this world, those who are great at AI, and everybody else. If you don't know AI, you are going to fail. Period, end of story." Mark Cuban didn't stop there. "Whether you are an employee, you're going to have to understand how AI impacts your job and how you can use it to be better at your job. Same if you're a student. And if you're a CEO, you can't just say, okay, I'm going to get my tech guys to understand it and educate me on it. You have to understand it yourself because it will have significant impact on every single thing that you do. There's no avoiding it." This is coming from someone who built and sold the Dallas Mavericks, who made his first fortune selling a company to Yahoo for $5.7 billion in 1999, and who has spent the last two years going deeper on AI than almost any investor his age. He is describing the Innovator's AI Dilemma, entrepreneurs are right now building AI-native companies designed to displace every major incumbent. If a CEO tears down their company to rebuild it AI native, investors revolt but if they do nothing, AI-native startups eat their market and investors revolt anyway. Either path leads to shareholder lawsuits and there is no comfortable middle. The companies that survive will be the ones where leadership, not just the tech team, genuinely understands what the technology can do. The ones that don't will look back at this moment the same way Blockbuster looks at 2005.
0:33

Mark Cuban said what every CEO in America needs to hear. "There are only two types of companies in this world, those who are great at AI, and everybody else. If you don't know AI, you are going to fail. Period, end of story." Mark Cuban didn't stop there. "Whether you are an employee, you're going to have to understand how AI impacts your job and how you can use it to be better at your job. Same if you're a student. And if you're a CEO, you can't just say, okay, I'm going to get my tech guys to understand it and educate me on it. You have to understand it yourself because it will have significant impact on every single thing that you do. There's no avoiding it." This is coming from someone who built and sold the Dallas Mavericks, who made his first fortune selling a company to Yahoo for $5.7 billion in 1999, and who has spent the last two years going deeper on AI than almost any investor his age. He is describing the Innovator's AI Dilemma, entrepreneurs are right now building AI-native companies designed to displace every major incumbent. If a CEO tears down their company to rebuild it AI native, investors revolt but if they do nothing, AI-native startups eat their market and investors revolt anyway. Either path leads to shareholder lawsuits and there is no comfortable middle. The companies that survive will be the ones where leadership, not just the tech team, genuinely understands what the technology can do. The ones that don't will look back at this moment the same way Blockbuster looks at 2005.

StockMarket.News

163,125 views • 2 months ago

"What is an AI Agent and why do they matter?" An agent is a program that autonomously completes tasks or makes decisions based on data. What do I mean by autonomous? The agent understands task intent, can plan steps to solve the problem, decide and execute and actions and adapt to the environment. Consider how many of us use AI chat interfaces today. You might ask ChatGPT to write an article from start to finish and get a one-shot response. You probably need to do some work to iterate on it yourself. An agentic version is more nuanced - it might write an outline, decide if research is needed, write a draft, evaluate if it needs work and revise itself. Unlike traditional AI models that simply respond to queries, agents are designed to be autonomous and proactive. Think of them as assistants that can not only understand what you need but also take initiative to accomplish tasks by using various tools and making decisions along the way. For example, an AI agent might help a marketing team by not just analyzing campaign data, but actively monitoring performance, adjusting budget allocations, and even drafting social media posts based on real-time engagement metrics. The significance of AI agents lies in their potential to transform how we work. In customer service, agents can handle complex inquiries by accessing multiple databases, processing payments, and updating records - all while maintaining natural conversations with customers. In software development, they can assist programmers by not just suggesting code but actively debugging issues, writing test cases, and even refactoring entire codebases. This level of autonomy and capability represents a fundamental shift from AI as a tool to AI as a collaborative partner. While there remain many unknowns, I'm excited about the potential for agents and we're thinking about how they can help users and developers on the web over in Chrome. The key to success will likely be finding the right balance between human oversight and agent autonomy, ensuring that these powerful tools enhance rather than diminish the human element in business operations.
3:43

"What is an AI Agent and why do they matter?" An agent is a program that autonomously completes tasks or makes decisions based on data. What do I mean by autonomous? The agent understands task intent, can plan steps to solve the problem, decide and execute and actions and adapt to the environment. Consider how many of us use AI chat interfaces today. You might ask ChatGPT to write an article from start to finish and get a one-shot response. You probably need to do some work to iterate on it yourself. An agentic version is more nuanced - it might write an outline, decide if research is needed, write a draft, evaluate if it needs work and revise itself. Unlike traditional AI models that simply respond to queries, agents are designed to be autonomous and proactive. Think of them as assistants that can not only understand what you need but also take initiative to accomplish tasks by using various tools and making decisions along the way. For example, an AI agent might help a marketing team by not just analyzing campaign data, but actively monitoring performance, adjusting budget allocations, and even drafting social media posts based on real-time engagement metrics. The significance of AI agents lies in their potential to transform how we work. In customer service, agents can handle complex inquiries by accessing multiple databases, processing payments, and updating records - all while maintaining natural conversations with customers. In software development, they can assist programmers by not just suggesting code but actively debugging issues, writing test cases, and even refactoring entire codebases. This level of autonomy and capability represents a fundamental shift from AI as a tool to AI as a collaborative partner. While there remain many unknowns, I'm excited about the potential for agents and we're thinking about how they can help users and developers on the web over in Chrome. The key to success will likely be finding the right balance between human oversight and agent autonomy, ensuring that these powerful tools enhance rather than diminish the human element in business operations.

Addy Osmani

30,412 views • 1 year ago

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.
0:54

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.

The All-In Podcast

94,872 views • 4 months ago

We’ll say it again: being AI-native is a game changer for young people. Mark Cuban (Mark Cuban): “If you’re AI-native… they need you.” Small businesses, Shark Tank companies, and 10,000 person companies are all trying to figure out how to use AI. We’re still early. Anyone can apply AI to what they know. There is massive opportunity in using AI to rethink the way we do business.
1:03

We’ll say it again: being AI-native is a game changer for young people. Mark Cuban (Mark Cuban): “If you’re AI-native… they need you.” Small businesses, Shark Tank companies, and 10,000 person companies are all trying to figure out how to use AI. We’re still early. Anyone can apply AI to what they know. There is massive opportunity in using AI to rethink the way we do business.

a16z

113,185 views • 10 months ago

Chamath Palihapitiya Chamath Palihapitiya "Bro, there is no failure." "That is what other people think of you to keep you down. There's no failure. If you were left on an island and it happened, you would just brush it off and move on. It's everybody else that you think is judging you. But then, here's the secret. They don't give a fuck about you. They are living their own lives. So it's your perception of what they think of you." "There is no failure. There's do and learn. Do and learn. Do and learn. Do and learn." Stanford AI Lab
0:32

Chamath Palihapitiya Chamath Palihapitiya "Bro, there is no failure." "That is what other people think of you to keep you down. There's no failure. If you were left on an island and it happened, you would just brush it off and move on. It's everybody else that you think is judging you. But then, here's the secret. They don't give a fuck about you. They are living their own lives. So it's your perception of what they think of you." "There is no failure. There's do and learn. Do and learn. Do and learn. Do and learn." Stanford AI Lab

The Techno Optimist

1,422,121 views • 14 days ago