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Sam Altman says the most important future skill won’t be learning how to build AI, but learning how to use AI to do extraordinary things. He compares it to computers: most people don’t understand how hardware is built, yet they can still use a computer to produce world-changing work.... show more

Wes Roth

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102,524 просмотров • 10 месяцев назад •via X (Twitter)

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Sam Altman says the industry has not failed to explain the benefits of AI But it has failed to explain how people can keep agency, stay in control, and still have a meaningful role in the future "AI should not be built around non-human goals" Society needs to understand what is happening and push back where needed

Sam Altman says the industry has not failed to explain the benefits of AI But it has failed to explain how people can keep agency, stay in control, and still have a meaningful role in the future "AI should not be built around non-human goals" Society needs to understand what is happening and push back where needed

Haider.

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Sam Altman says today's models are still dumb because they barely understand your life The next shift is a model that knows your context, your work, your goals, your people, and the way you use your computer "that is gonna be a complete change to what it feels like to use AI"

Sam Altman says today's models are still dumb because they barely understand your life The next shift is a model that knows your context, your work, your goals, your people, and the way you use your computer "that is gonna be a complete change to what it feels like to use AI"

Haider.

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Jensen Huang: one of the most important things I would advise is, if I were a student today the first thing I would do is to learn AI. "learning how to interact with AI is not unlike being someone who is really good at asking questions." "you can't just randomly ask a bunch of questions." "asking an AI to be assistant to you requires some expertise and artistry in how to prompt it." "my generation was the first generation that had to ask the question, how do I use computers to do my job better." "the next generation has to ask the next question. how can I use AI to do my job better?" "that is start and finish I think for everybody."

Jensen Huang: one of the most important things I would advise is, if I were a student today the first thing I would do is to learn AI. "learning how to interact with AI is not unlike being someone who is really good at asking questions." "you can't just randomly ask a bunch of questions." "asking an AI to be assistant to you requires some expertise and artistry in how to prompt it." "my generation was the first generation that had to ask the question, how do I use computers to do my job better." "the next generation has to ask the next question. how can I use AI to do my job better?" "that is start and finish I think for everybody."

Veee

30,753 просмотров • 1 месяц назад

I’d be all-in on AI. Most people don’t know how to use it. If you do, you win. It’s the consulting career of the future.

I’d be all-in on AI. Most people don’t know how to use it. If you do, you win. It’s the consulting career of the future.

Kevin O'Leary aka Mr. Wonderful

58,236 просмотров • 1 год назад

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

MIKE

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Sam Altman says the most important ways people can prepare for the future of work is to learn to use AI tools and to create experiences, products and services that humans care about, rather than acquiring any specific knowledge, per tsarnick.

Sam Altman says the most important ways people can prepare for the future of work is to learn to use AI tools and to create experiences, products and services that humans care about, rather than acquiring any specific knowledge, per tsarnick.

unusual_whales

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Everyone will need to learn how to use AI over the next 1-2 years. But right now, the skill gap between people actually applying AI to people who've tried ChatGPT once, is insane. So I built a solution for anyone who wants to actually learn AI and work faster. Access below:

Everyone will need to learn how to use AI over the next 1-2 years. But right now, the skill gap between people actually applying AI to people who've tried ChatGPT once, is insane. So I built a solution for anyone who wants to actually learn AI and work faster. Access below:

Rowan Cheung

596,397 просмотров • 2 лет назад

Sam Altman told the world exactly what skills will matter when AI takes over 30 to 40 percent of the global economy. He was asked what his own kids should do to survive it. His answer was surprisingly human. He said the single most valuable thing anyone can build right now is the meta-skill of learning how to learn. Not a degree or a certification but the raw ability to adapt when everything around you changes. He also said learning to understand what other people actually want and building useful things for them will be more valuable than almost any technical knowledge. That skill has never been automated and is not close to being automated. He said human creativity and the desire to express it are, in his words, limitless. Every major technological revolution increased the demand for creative, curious, and socially intelligent people, not decreased it. The Industrial Revolution is the clearest parallel. Machines replaced physical labor and people were terrified. The next generation took those machines and built industries, art forms, and institutions nobody had conceived of before. The people who thrived were not the ones who competed with the machines. They were the ones who learned to direct them toward something new. That dynamic is already playing out right now with AI. The practical implication is this, depth in a single rigid skill is becoming less valuable. The ability to move across domains, pick up new tools quickly, and apply judgment in ambiguous situations is becoming more valuable. Altman also pointed to something most career advice ignores entirely, learning how to interact with the world, build relationships, and earn trust from other people. Those are things AI can simulate but cannot replace. The honest opportunity in this moment is not to outrun AI. It is to focus on the things that make you irreducibly human. Curiosity, judgment, empathy and the ability to ask the right question before anyone knows what the right question is. The people who will matter most in an AI-driven economy are not necessarily the ones who understand the technology deepest. They are the ones who can figure out what the technology should actually be used for. Altman has spent his career betting on human potential in the face of technological disruption. Based on every historical precedent, that is still the right bet to make.

Sam Altman told the world exactly what skills will matter when AI takes over 30 to 40 percent of the global economy. He was asked what his own kids should do to survive it. His answer was surprisingly human. He said the single most valuable thing anyone can build right now is the meta-skill of learning how to learn. Not a degree or a certification but the raw ability to adapt when everything around you changes. He also said learning to understand what other people actually want and building useful things for them will be more valuable than almost any technical knowledge. That skill has never been automated and is not close to being automated. He said human creativity and the desire to express it are, in his words, limitless. Every major technological revolution increased the demand for creative, curious, and socially intelligent people, not decreased it. The Industrial Revolution is the clearest parallel. Machines replaced physical labor and people were terrified. The next generation took those machines and built industries, art forms, and institutions nobody had conceived of before. The people who thrived were not the ones who competed with the machines. They were the ones who learned to direct them toward something new. That dynamic is already playing out right now with AI. The practical implication is this, depth in a single rigid skill is becoming less valuable. The ability to move across domains, pick up new tools quickly, and apply judgment in ambiguous situations is becoming more valuable. Altman also pointed to something most career advice ignores entirely, learning how to interact with the world, build relationships, and earn trust from other people. Those are things AI can simulate but cannot replace. The honest opportunity in this moment is not to outrun AI. It is to focus on the things that make you irreducibly human. Curiosity, judgment, empathy and the ability to ask the right question before anyone knows what the right question is. The people who will matter most in an AI-driven economy are not necessarily the ones who understand the technology deepest. They are the ones who can figure out what the technology should actually be used for. Altman has spent his career betting on human potential in the face of technological disruption. Based on every historical precedent, that is still the right bet to make.

StockMarket.News

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Sam Altman: "One person who knows how to use AI can do a week of work in 20 minutes." In 30 minutes he breaks down exactly what those people do differently, and how you can too. The gap isn't between AI and humans. It's between people who know AI and people who don't. Watch it, then read what knowing AI can actually do below

Sam Altman: "One person who knows how to use AI can do a week of work in 20 minutes." In 30 minutes he breaks down exactly what those people do differently, and how you can too. The gap isn't between AI and humans. It's between people who know AI and people who don't. Watch it, then read what knowing AI can actually do below

Mahax

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Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.

Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.

Dustin

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World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

82,018 просмотров • 4 месяцев назад

Sam Altman on what you need to do to survive in the age of artificial intelligence. "You are about to enter the greatest golden age of human possibility..." To thrive in that world, the skills that matter most are: - Deep familiarity with the tools - Staying abreast of changes - Developing a great intuition for AI tools, where things are going, and how to make use of it - Resilience and the ability to learn things fast and evolve yourself with technology I know most of this stuff is a pretty big no-brainer for anyone paying attention, but here's the takeaway: AI upskilling and keeping up with AI are possibly the most important skills in the world right now. And the most fascinating part is that new AI developments and tools come out so fast that everyone is constantly learning. I'd be willing to bet that if you're a complete beginner but spend 3 months of dedicated learning, you'd be fully caught up to power users. In other words: Spend 3 months learning → work 2-4x faster and future-proof yourself. There's so much opportunity for anyone who just starts now.

Sam Altman on what you need to do to survive in the age of artificial intelligence. "You are about to enter the greatest golden age of human possibility..." To thrive in that world, the skills that matter most are: - Deep familiarity with the tools - Staying abreast of changes - Developing a great intuition for AI tools, where things are going, and how to make use of it - Resilience and the ability to learn things fast and evolve yourself with technology I know most of this stuff is a pretty big no-brainer for anyone paying attention, but here's the takeaway: AI upskilling and keeping up with AI are possibly the most important skills in the world right now. And the most fascinating part is that new AI developments and tools come out so fast that everyone is constantly learning. I'd be willing to bet that if you're a complete beginner but spend 3 months of dedicated learning, you'd be fully caught up to power users. In other words: Spend 3 months learning → work 2-4x faster and future-proof yourself. There's so much opportunity for anyone who just starts now.

Rowan Cheung

854,430 просмотров • 2 лет назад

I've always wanted a way to talk to my Mac and do things on the go. Until now, it was super slow. So I built Macbrow. Voice-controlled browser and computer-use agent. Built using Gradium Browser Use and TypeSafe AI Still early and a work in progress.

I've always wanted a way to talk to my Mac and do things on the go. Until now, it was super slow. So I built Macbrow. Voice-controlled browser and computer-use agent. Built using Gradium Browser Use and TypeSafe AI Still early and a work in progress.

Pratim Bhosale

60,090 просмотров • 18 дней назад

Language carries context. And if AI is going to work for people, it needs to understand both. BharatGen is building foundational AI in India’s many languages and the country-specific contexts that shape how people use them. Watch the story from Goalkeepers 2026.

Language carries context. And if AI is going to work for people, it needs to understand both. BharatGen is building foundational AI in India’s many languages and the country-specific contexts that shape how people use them. Watch the story from Goalkeepers 2026.

Gates Foundation India

957,011 просмотров • 14 дней назад

🚨 UNCANNY VALLEY: LEARNING TO CODE WON’T SAVE YOU Forget Python. If you don’t know how to think like an algorithm, Danks says the future will leave you behind. Dr. David Danks: “We need students to think computationally and algorithmically—but we don’t need them to write Python scripts.” In the world of AI, it’s not what you can code—it’s how you think that matters.

🚨 UNCANNY VALLEY: LEARNING TO CODE WON’T SAVE YOU Forget Python. If you don’t know how to think like an algorithm, Danks says the future will leave you behind. Dr. David Danks: “We need students to think computationally and algorithmically—but we don’t need them to write Python scripts.” In the world of AI, it’s not what you can code—it’s how you think that matters.

Mario Nawfal

85,614 просмотров • 1 год назад

is changing its name. 13 years ago, launched with a simple idea: every student should learn computer science — to learn how technology works and how to create it — not just how to use it. After more than 2 billion hours of learning, the focus of CS has moved from coding to AI. As AI reshapes every part of daily life, students need digital fluency: the ability to understand AI, direct it, question it, and create with it — built on the foundations of computer science, AI science, and data science. Today, enters its next chapter as CodeAI. Our curriculum, teacher training, and frameworks, are there already: AI Discoveries and AI Foundations are free and in classrooms now. The K-12 digital sciences pathway is expanding. Our goal is a generation with agency over the systems shaping their lives — prepared to shape the work, civic life, relationships, and meaning that come after. Welcome to CodeAI.

is changing its name. 13 years ago, launched with a simple idea: every student should learn computer science — to learn how technology works and how to create it — not just how to use it. After more than 2 billion hours of learning, the focus of CS has moved from coding to AI. As AI reshapes every part of daily life, students need digital fluency: the ability to understand AI, direct it, question it, and create with it — built on the foundations of computer science, AI science, and data science. Today, enters its next chapter as CodeAI. Our curriculum, teacher training, and frameworks, are there already: AI Discoveries and AI Foundations are free and in classrooms now. The K-12 digital sciences pathway is expanding. Our goal is a generation with agency over the systems shaping their lives — prepared to shape the work, civic life, relationships, and meaning that come after. Welcome to CodeAI.

Hadi Partovi

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