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Marc Andreessen (the guy who called it when “software ate the world”) just pointed out what AI is doing to coding next. “Everyone assumes AI coding means fewer hours… or leaving the profession. But almost everyone I know is working more hours.” “There’s a new term in the Valley:...

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AI Evolution

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61,685 次观看 • 1 个月前 •via X (Twitter)

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The man who built Nvidia from a Denny's booth into the world's first $5 trillion company just told us exactly why AI will never take our jobs. "AI has no possibility of doing all of what we do. However, depending on the jobs that we do, sometimes it could do 20% of our jobs, a thousand times better." "For some people, it might be able to do 50% of their job, a thousand times better." "Every one of us should apply AI to automate, to become an assistant, to help us with that either 20%, 40% or 50%." "People ask me, Jensen, is AI going to take your job? And I tell them absolutely not. The person who uses AI to automate that 20% or 50% is going to take your job." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
1:22

The man who built Nvidia from a Denny's booth into the world's first $5 trillion company just told us exactly why AI will never take our jobs. "AI has no possibility of doing all of what we do. However, depending on the jobs that we do, sometimes it could do 20% of our jobs, a thousand times better." "For some people, it might be able to do 50% of their job, a thousand times better." "Every one of us should apply AI to automate, to become an assistant, to help us with that either 20%, 40% or 50%." "People ask me, Jensen, is AI going to take your job? And I tell them absolutely not. The person who uses AI to automate that 20% or 50% is going to take your job." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

16,813 次观看 • 3 个月前

Since launching in February, the Google AI Professional Certificate has become the most popular generative AI certificate of all time on Coursera. 🥳 Now, we're expanding the course to include lessons on vibe coding. With vibe coding, anyone can learn how to use everyday language to describe what they want to produce, letting AI handle the technical coding to build robust apps, automate workflows, or create custom dashboards — no prior coding experience needed. Whether you’re streamlining logistics at a multinational company or designing a custom app for your team, the Google AI Professional Certificate is built to help you learn how to make AI work for you. Learn more →
0:26

Since launching in February, the Google AI Professional Certificate has become the most popular generative AI certificate of all time on Coursera. 🥳 Now, we're expanding the course to include lessons on vibe coding. With vibe coding, anyone can learn how to use everyday language to describe what they want to produce, letting AI handle the technical coding to build robust apps, automate workflows, or create custom dashboards — no prior coding experience needed. Whether you’re streamlining logistics at a multinational company or designing a custom app for your team, the Google AI Professional Certificate is built to help you learn how to make AI work for you. Learn more →

News from Google

44,431 次观看 • 19 天前

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.
1:50

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles

913,227 次观看 • 6 个月前

Jack Dorsey says the real threat isn’t open-source AI. it’s five CEOs deciding what the world is allowed to build with AI. “These AI companies are building platforms, and they’re all incentivized around their own models. You have to ask for permission, you hit rate limits, and even what the models return is constrained.” “What technologies let you build without asking a company—or a CEO—for permission? The durable ones. That’s why open protocols matter.” “When a handful of CEOs make the call, it caps the upside of great ideas that could move humanity forward. They might know what’s best for their company—but not what’s best for the world’s creativity.” “Luckily, open-source AI is gaining real momentum. DeepSeek was a key moment—not just showing a different path, but proving it can be competitive, even better than what the big corporations are shipping.” “We shouldn’t be dependent on five companies claiming they know best—and calling open source ‘dangerous.’ We should build in the open and race toward solutions that stay ahead of the risks.” PS. If you found value in this post, like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
2:07

Jack Dorsey says the real threat isn’t open-source AI. it’s five CEOs deciding what the world is allowed to build with AI. “These AI companies are building platforms, and they’re all incentivized around their own models. You have to ask for permission, you hit rate limits, and even what the models return is constrained.” “What technologies let you build without asking a company—or a CEO—for permission? The durable ones. That’s why open protocols matter.” “When a handful of CEOs make the call, it caps the upside of great ideas that could move humanity forward. They might know what’s best for their company—but not what’s best for the world’s creativity.” “Luckily, open-source AI is gaining real momentum. DeepSeek was a key moment—not just showing a different path, but proving it can be competitive, even better than what the big corporations are shipping.” “We shouldn’t be dependent on five companies claiming they know best—and calling open source ‘dangerous.’ We should build in the open and race toward solutions that stay ahead of the risks.” PS. If you found value in this post, like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

AI Evolution

79,345 次观看 • 1 个月前

We built this entire website using AI (Cursor). In under 12 hours. I documented every step in a playbook. This sets the new bar for AI-powered “design coding.” Comment “Design” + follow me — I’ll DM it to you.
0:23

We built this entire website using AI (Cursor). In under 12 hours. I documented every step in a playbook. This sets the new bar for AI-powered “design coding.” Comment “Design” + follow me — I’ll DM it to you.

Jacob Klug

265,491 次观看 • 1 年前

Marc Andreessen: AI isn’t just about job losses or job gains. At the individual level, it turns people who are good at something into people who are very good—and the best into something else entirely. This is the real shift parents should be thinking about. We have a 10-year-old, we homeschool, and we think about this a lot. AI is a tool that raises the average for everyone—but it also creates the super-empowered individual who can go far beyond average. If you’re already good at writing, coding, designing, or creating—and you use AI—you don’t get a little better. You get dramatically better. The gap between “good” and “great” is about to explode. What we’re seeing right now in coding is wild. Really great coders aren’t twice as productive anymore—they’re saying they’re 10x better than they used to be. That’s AI as leverage. At the N=1 level—the individual kid—the goal isn’t chasing “safe careers.” It’s creating a super-empowered person who can use AI to amplify their talent beyond anything we’ve seen before.
2:27

Marc Andreessen: AI isn’t just about job losses or job gains. At the individual level, it turns people who are good at something into people who are very good—and the best into something else entirely. This is the real shift parents should be thinking about. We have a 10-year-old, we homeschool, and we think about this a lot. AI is a tool that raises the average for everyone—but it also creates the super-empowered individual who can go far beyond average. If you’re already good at writing, coding, designing, or creating—and you use AI—you don’t get a little better. You get dramatically better. The gap between “good” and “great” is about to explode. What we’re seeing right now in coding is wild. Really great coders aren’t twice as productive anymore—they’re saying they’re 10x better than they used to be. That’s AI as leverage. At the N=1 level—the individual kid—the goal isn’t chasing “safe careers.” It’s creating a super-empowered person who can use AI to amplify their talent beyond anything we’ve seen before.

Ian Miles

26,525 次观看 • 6 个月前

Sam Altman says Google had the power to destroy OpenAI and didn't, the reason tells you everything about who wins the AI race. "If Google had really decided to take us seriously in 2023, we would have been in a really bad place. They would have just been able to smash us." "Google has probably the greatest business model in the whole tech industry, and I think they will be slow to give that up." "Bolting AI onto the existing way of doing things, I don't think it's going to work as well as redesigning stuff in an AI-first world." "If you stick AI into a messaging app that's doing a nice job summarizing your messages and drafting responses for you, that is definitely a little better. But I don't think that's the end state." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
1:10

Sam Altman says Google had the power to destroy OpenAI and didn't, the reason tells you everything about who wins the AI race. "If Google had really decided to take us seriously in 2023, we would have been in a really bad place. They would have just been able to smash us." "Google has probably the greatest business model in the whole tech industry, and I think they will be slow to give that up." "Bolting AI onto the existing way of doing things, I don't think it's going to work as well as redesigning stuff in an AI-first world." "If you stick AI into a messaging app that's doing a nice job summarizing your messages and drafting responses for you, that is definitely a little better. But I don't think that's the end state." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

25,636 次观看 • 2 个月前

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last
2:58

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

Mika

21,093 次观看 • 2 个月前

Sam Altman describes how it all ends: "If you have the AIs and the humans both trying to enslave the other, and they both want the same thing, dominant species in the universe, that's bad. That's a recipe for conflict every time." "My current thought is that some version of a merge is the most likely good long-term future. This can go anywhere from plugging electrodes into our brain and literally merging, or just every person has a little chatbot that becomes an extension of their will. We're going to need something like that, so that we're one thing and it's not us versus the AI." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
0:50

Sam Altman describes how it all ends: "If you have the AIs and the humans both trying to enslave the other, and they both want the same thing, dominant species in the universe, that's bad. That's a recipe for conflict every time." "My current thought is that some version of a merge is the most likely good long-term future. This can go anywhere from plugging electrodes into our brain and literally merging, or just every person has a little chatbot that becomes an extension of their will. We're going to need something like that, so that we're one thing and it's not us versus the AI." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

31,934 次观看 • 2 个月前

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.
1:18

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

787,554 次观看 • 6 个月前

Marc Andreessen says the best engineers alive stopped sleeping on purpose, and every one of them calls it the happiest they’ve ever been. Andreessen: “You’re up all night doing AI coding because you’re getting so much done that you can’t turn off. The opportunity cost of going to sleep is too high.” The body has one price it never negotiates. An hour of this just cleared it. They call them AI vampires now. Twenty agents working the night shift, and one human who refuses to be the bottleneck in his own life. Andreessen: “They’re sleep deprived, they’ve got bags under their eyes, they’re clearly not taking care of themselves. And they’re absolutely ecstatic.” Burnout is exhaustion in the absence of meaning. This is the reverse. Exhaustion from an oversupply. It was supposed to make us obsolete. It made us insatiable. We have only ever met desire in a cage. Uncaged, we call it sickness. Wanting more than you could reach was a wound with no treatment, so we made a virtue of not wanting. Moderation. Contentment. Being realistic. Knowing your limits. Handed down as wisdom. All of it anesthesia for a species that could not afford its own ideas. Underneath the vampires sits a quieter story that does far more damage. A friend on Wall Street. MIT computer science degree, thirty five years ago. Then the market bid higher for his hours, and he put it down for three decades. Andreessen: “He’s picked up coding with AI. He’s completely re-automated his entire house.” Nothing was resurrected. Nothing had ever died. Andreessen: “…in his spare time has generated 500,000 lines of code, just by working with AI.” He never lacked the vision. He lacked the hours. Three decades of wanting with nowhere to put it. Desire doesn’t die when you starve it. It goes quiet, and you start describing it in the past tense. Andreessen: “The coders that are using AI, the estimate is right now that they’re 20 times more productive than they were before they started using AI.” Not twenty percent. Twenty times. He draws the pessimistic case from it himself. Andreessen: “If there’s only a limited amount of software that people want in the world, then yeah, you’re going to get mass unemployment.” One clause in that sentence holds up the entire automation debate. A limited amount that people want. Every number we have on human demand was taken inside a rationing regime. We measured the ideas that could clear a payroll. Everything beneath that line never existed long enough to be counted. The house that works the way you pictured it. The fix nobody else needs. The idea too small to fund and too personal to sell. We spent a century measuring the supply curve and filed the result under human nature. Nobody alive has ever seen what a person wants. Only what they could afford to want. You were never a person with limits. You were a person with prices. Scarcity was never only a constraint. It was an alibi. It let everyone believe the life they never lived was taken from them. I would have, but. There is no but anymore. The vampires aren’t up all night because the machine demands it. They’re up because the thing they always meant to make finally stopped being impossible. You have one too. You’ve just been describing it in the past tense. That was never a verdict on you. It was a price. The price went to zero.
1:57

Marc Andreessen says the best engineers alive stopped sleeping on purpose, and every one of them calls it the happiest they’ve ever been. Andreessen: “You’re up all night doing AI coding because you’re getting so much done that you can’t turn off. The opportunity cost of going to sleep is too high.” The body has one price it never negotiates. An hour of this just cleared it. They call them AI vampires now. Twenty agents working the night shift, and one human who refuses to be the bottleneck in his own life. Andreessen: “They’re sleep deprived, they’ve got bags under their eyes, they’re clearly not taking care of themselves. And they’re absolutely ecstatic.” Burnout is exhaustion in the absence of meaning. This is the reverse. Exhaustion from an oversupply. It was supposed to make us obsolete. It made us insatiable. We have only ever met desire in a cage. Uncaged, we call it sickness. Wanting more than you could reach was a wound with no treatment, so we made a virtue of not wanting. Moderation. Contentment. Being realistic. Knowing your limits. Handed down as wisdom. All of it anesthesia for a species that could not afford its own ideas. Underneath the vampires sits a quieter story that does far more damage. A friend on Wall Street. MIT computer science degree, thirty five years ago. Then the market bid higher for his hours, and he put it down for three decades. Andreessen: “He’s picked up coding with AI. He’s completely re-automated his entire house.” Nothing was resurrected. Nothing had ever died. Andreessen: “…in his spare time has generated 500,000 lines of code, just by working with AI.” He never lacked the vision. He lacked the hours. Three decades of wanting with nowhere to put it. Desire doesn’t die when you starve it. It goes quiet, and you start describing it in the past tense. Andreessen: “The coders that are using AI, the estimate is right now that they’re 20 times more productive than they were before they started using AI.” Not twenty percent. Twenty times. He draws the pessimistic case from it himself. Andreessen: “If there’s only a limited amount of software that people want in the world, then yeah, you’re going to get mass unemployment.” One clause in that sentence holds up the entire automation debate. A limited amount that people want. Every number we have on human demand was taken inside a rationing regime. We measured the ideas that could clear a payroll. Everything beneath that line never existed long enough to be counted. The house that works the way you pictured it. The fix nobody else needs. The idea too small to fund and too personal to sell. We spent a century measuring the supply curve and filed the result under human nature. Nobody alive has ever seen what a person wants. Only what they could afford to want. You were never a person with limits. You were a person with prices. Scarcity was never only a constraint. It was an alibi. It let everyone believe the life they never lived was taken from them. I would have, but. There is no but anymore. The vampires aren’t up all night because the machine demands it. They’re up because the thing they always meant to make finally stopped being impossible. You have one too. You’ve just been describing it in the past tense. That was never a verdict on you. It was a price. The price went to zero.

Dustin

21,245 次观看 • 1 个月前

You think AI can’t build a webapp for you???? You’re wrong!!!! Vibe coding is the new software architecture and once you can think like a developer you can build like one!!! I’m 76% done with my PRD generator and I’ll do a demo of it soon but watch this 👇🏾🔥
2:00

You think AI can’t build a webapp for you???? You’re wrong!!!! Vibe coding is the new software architecture and once you can think like a developer you can build like one!!! I’m 76% done with my PRD generator and I’ll do a demo of it soon but watch this 👇🏾🔥

Mustang

15,708 次观看 • 6 个月前

Every time I hear “Stop learning to code. AI will do it,” I worry. That is dangerous advice. Andrew Ng nailed it. When something becomes easier, more people should do it, not fewer. When coding moved from punch cards to keyboards, demand exploded. When higher level languages replaced assembly, people predicted the end of programmers. They were wrong. Now AI assisted coding is here. For the first time, a GenAI native graduate can outperform an experienced engineer stuck in old workflows. Impressive. But here’s what matters. The real advantage belongs to those who combine deep architectural thinking with AI fluency. In the companies I advise, the pattern is clear: - Experienced engineers who master AI - Deep thinkers who combine architecture + automation - Professionals who upgrade instead of resist AI lowers the barrier. It does not lower the ceiling. So let me ask you: Are you upgrading your skills with AI… or quietly assuming it will make your skills obsolete? #AI #ArtificialIntelligence #Coding #SoftwareEngineering #FutureOfWork #Technology
1:42

Every time I hear “Stop learning to code. AI will do it,” I worry. That is dangerous advice. Andrew Ng nailed it. When something becomes easier, more people should do it, not fewer. When coding moved from punch cards to keyboards, demand exploded. When higher level languages replaced assembly, people predicted the end of programmers. They were wrong. Now AI assisted coding is here. For the first time, a GenAI native graduate can outperform an experienced engineer stuck in old workflows. Impressive. But here’s what matters. The real advantage belongs to those who combine deep architectural thinking with AI fluency. In the companies I advise, the pattern is clear: - Experienced engineers who master AI - Deep thinkers who combine architecture + automation - Professionals who upgrade instead of resist AI lowers the barrier. It does not lower the ceiling. So let me ask you: Are you upgrading your skills with AI… or quietly assuming it will make your skills obsolete? #AI #ArtificialIntelligence #Coding #SoftwareEngineering #FutureOfWork #Technology

Pascal Bornet

18,027 次观看 • 6 个月前

One reason I stay a bit quite about AI these few months. I can’t find my voice to say this right. I’ll try. — What has my AI found just in the millions of never saved TV from the 1980s-1990s? The simple commercial, I have the largest collection known in the world is a reflection of hyper nuanced humanity. Frail and over optimistic as it is, it shows the sprit of humanity in ways that self-hating 2010 Internet sewage training AI can not. It is interesting to have dark humor, when you know the soul of the person with the humor. It is not interesting to have dark humor from an AI that was not trained on the human spirit. The human sprit is not math, coding and science. This is the OUTCOME of a human sprit. We are training AI backwards and we just can’t see it yet, but we will. I am doing may best as “some posted on X” who has no currency in the “big boy” AI world to save the human sprit. We will need it one day and most of this training material is being erased, trillions of bytes daily. This is the secret to truthful AI. This is the secret to AI that LOVES humanity. We don’t get this right soon, there will be little chance. The data is… Almost gone.
0:30

One reason I stay a bit quite about AI these few months. I can’t find my voice to say this right. I’ll try. — What has my AI found just in the millions of never saved TV from the 1980s-1990s? The simple commercial, I have the largest collection known in the world is a reflection of hyper nuanced humanity. Frail and over optimistic as it is, it shows the sprit of humanity in ways that self-hating 2010 Internet sewage training AI can not. It is interesting to have dark humor, when you know the soul of the person with the humor. It is not interesting to have dark humor from an AI that was not trained on the human spirit. The human sprit is not math, coding and science. This is the OUTCOME of a human sprit. We are training AI backwards and we just can’t see it yet, but we will. I am doing may best as “some posted on X” who has no currency in the “big boy” AI world to save the human sprit. We will need it one day and most of this training material is being erased, trillions of bytes daily. This is the secret to truthful AI. This is the secret to AI that LOVES humanity. We don’t get this right soon, there will be little chance. The data is… Almost gone.

Brian Roemmele

123,518 次观看 • 1 年前

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.
4:55

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.

CBS Mornings

98,892 次观看 • 4 个月前

Marc Andreessen explains why AI coding won't replace programmers, but fundamentally change what they do. He argues that AI coding is just the latest abstraction layer, and the job of a programmer has always evolved with each one. Andreessen's key reframe of what's actually happening: "AI coding actually abstracts away the process of actually writing the scripting code... This is the next layer of the task redefinition under the job of programmer." He's clear that the best programmers aren't being replaced. They're already adapting, even if their day-to-day looks radically different now. Their job has shifted from writing code line by line to managing dozens of AI agents working in parallel. "The world's best programmers today will tell you, 'My job is I'm sitting there and I'm orchestrating 10 code bots running in parallel.' Their day job now is kind of arguing with the AI bots to try to get them to write the right code." But Marc Andreessen 🇺🇸 is adamant this doesn't make foundational knowledge obsolete — it makes it more important. "You need to still fully understand and learn how to write and understand code, because if it doesn't work or it's not doing what you expect, you need to be able to understand the results of what the AI is giving you." He draws a direct parallel: Just as someone writing scripting languages still needs to understand how a microprocessor works, someone orchestrating AI bots needs to understand the code those bots produce. "It's this upleveling of capability where you actually want the depth to go down and understand what the thing is actually doing, even if you're not spending your day doing that by hand." The result, in his view, is transformative: "Now programmers are going to be 10 times or 100 times or a thousand times more productive. And that is overwhelmingly a good thing." The pattern: New abstraction layer emerges → tasks change → the job gets redefined upward → productivity explodes It raises a question every programmer should be sitting with... Are you building the depth to evaluate what AI gives you, or just accepting the output?
1:50

Marc Andreessen explains why AI coding won't replace programmers, but fundamentally change what they do. He argues that AI coding is just the latest abstraction layer, and the job of a programmer has always evolved with each one. Andreessen's key reframe of what's actually happening: "AI coding actually abstracts away the process of actually writing the scripting code... This is the next layer of the task redefinition under the job of programmer." He's clear that the best programmers aren't being replaced. They're already adapting, even if their day-to-day looks radically different now. Their job has shifted from writing code line by line to managing dozens of AI agents working in parallel. "The world's best programmers today will tell you, 'My job is I'm sitting there and I'm orchestrating 10 code bots running in parallel.' Their day job now is kind of arguing with the AI bots to try to get them to write the right code." But Marc Andreessen 🇺🇸 is adamant this doesn't make foundational knowledge obsolete — it makes it more important. "You need to still fully understand and learn how to write and understand code, because if it doesn't work or it's not doing what you expect, you need to be able to understand the results of what the AI is giving you." He draws a direct parallel: Just as someone writing scripting languages still needs to understand how a microprocessor works, someone orchestrating AI bots needs to understand the code those bots produce. "It's this upleveling of capability where you actually want the depth to go down and understand what the thing is actually doing, even if you're not spending your day doing that by hand." The result, in his view, is transformative: "Now programmers are going to be 10 times or 100 times or a thousand times more productive. And that is overwhelmingly a good thing." The pattern: New abstraction layer emerges → tasks change → the job gets redefined upward → productivity explodes It raises a question every programmer should be sitting with... Are you building the depth to evaluate what AI gives you, or just accepting the output?

Big Brain AI

45,341 次观看 • 6 个月前

Airbnb's Brian Chesky says there's still a massive opportunity in consumer AI, if only because almost every AI company is an enterprise/ coding company. "Almost every AI company is an enterprise company. The last stat I said on TBPN, like three months ago — and the stats haven't changed — was 175 companies in a YC batch, and 16 were consumer." "That trend hasn't changed. Almost everyone's going into coding and enterprise." "But the consumer [AI] experience hasn't fundamentally changed that much beyond a chatbot. I think the consumer is a massive opportunity for AI. I think it's going to need to be a richer user interface." "AI today is text, photos, and buttons. And some videos. And I think there's a breakthrough visual paradigm that could be much more immersive. With the new image and video models, you could do something so much more immersive."
1:22

Airbnb's Brian Chesky says there's still a massive opportunity in consumer AI, if only because almost every AI company is an enterprise/ coding company. "Almost every AI company is an enterprise company. The last stat I said on TBPN, like three months ago — and the stats haven't changed — was 175 companies in a YC batch, and 16 were consumer." "That trend hasn't changed. Almost everyone's going into coding and enterprise." "But the consumer [AI] experience hasn't fundamentally changed that much beyond a chatbot. I think the consumer is a massive opportunity for AI. I think it's going to need to be a richer user interface." "AI today is text, photos, and buttons. And some videos. And I think there's a breakthrough visual paradigm that could be much more immersive. With the new image and video models, you could do something so much more immersive."

TBPN

15,446 次观看 • 3 个月前

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 次观看 • 3 个月前

President Ruto: I visited one TVET where I met this man called Brian, who is in the village working 2 hours for an AI company in Germany via the Internet. Brian is a village boy who has never come to Nairobi and doesn’t have a passport but is working for an AI company which the government doesn’t have a clear policy on AI. Brian is ahead of the government of Kenya
2:06

President Ruto: I visited one TVET where I met this man called Brian, who is in the village working 2 hours for an AI company in Germany via the Internet. Brian is a village boy who has never come to Nairobi and doesn’t have a passport but is working for an AI company which the government doesn’t have a clear policy on AI. Brian is ahead of the government of Kenya

Citizen TV Kenya

189,907 次观看 • 2 年前