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📁 Marc Andreessen, co-founder of Andreessen Horowitz, says AI coding is not replacing programmers; it is turning them into “AI vampires”. Who work more, sleep less, and produce far more. The blind spot is that productivity is now outrunning comprehension. At scale, software becomes something people summon faster than... show more

Jon Hernandez

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35,413 просмотров • 4 месяцев назад •via X (Twitter)

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📁 Ben Horowitz, co-founder of Andreessen Horowitz, says AI advantages no longer last. In traditional software, small teams could defend leads for years. In AI, with proprietary data and enough GPUs, money can erase any head start. Innovation no longer protects. Capital competes in real time. Leadership is not defended, it is funded.

📁 Ben Horowitz, co-founder of Andreessen Horowitz, says AI advantages no longer last. In traditional software, small teams could defend leads for years. In AI, with proprietary data and enough GPUs, money can erase any head start. Innovation no longer protects. Capital competes in real time. Leadership is not defended, it is funded.

Jon Hernandez

44,523 просмотров • 7 месяцев назад

Marc Andreessen on JRE: AI hasn't replaced coders. It turned them into vampires. "The opportunity cost of going to sleep is too high because if you go to sleep, you won't be with your 20 AI coding agents."

Marc Andreessen on JRE: AI hasn't replaced coders. It turned them into vampires. "The opportunity cost of going to sleep is too high because if you go to sleep, you won't be with your 20 AI coding agents."

TFTC

1,379,600 просмотров • 4 месяцев назад

📁 Tristan Harris, co-founder of the Center for Humane Technology, says the AI race is no longer about augmenting human work but replacing it at planetary scale. Once GDP depends more on data centers than people, governments stop investing in humans because humans no longer drive growth. That is how an intelligence economy quietly becomes anti-human without anyone explicitly choosing it.

📁 Tristan Harris, co-founder of the Center for Humane Technology, says the AI race is no longer about augmenting human work but replacing it at planetary scale. Once GDP depends more on data centers than people, governments stop investing in humans because humans no longer drive growth. That is how an intelligence economy quietly becomes anti-human without anyone explicitly choosing it.

Jon Hernandez

24,674 просмотров • 4 месяцев назад

📁 Andrew Ng, AI pioneer and co founder of Google Brain, says most high dimensional data is simpler than it looks. A 10,000 dimensional dataset often lives on a much smaller subspace. If you compress it first, learning becomes faster, cheaper and more efficient. Sometimes intelligence is not adding more. It is reducing wisely

📁 Andrew Ng, AI pioneer and co founder of Google Brain, says most high dimensional data is simpler than it looks. A 10,000 dimensional dataset often lives on a much smaller subspace. If you compress it first, learning becomes faster, cheaper and more efficient. Sometimes intelligence is not adding more. It is reducing wisely

Jon Hernandez

112,485 просмотров • 6 месяцев назад

$Marc Andreessen explains how AI turned the valley's best programmers into sleep-deprived "vampires": Marc points out a counterintuitive twist in what AI coding has done to developers. You'd expect one of two outcomes, he says. Either coders would leave the profession entirely "because there's no point anymore," or they'd simply have better lives, working a fraction of the hours now that AI makes them so productive. Neither happened. As Marc puts it: "What's actually happened is virtually to a person, they're all working more hours than ever. To the point where there is a new term of art that's used in the valley called the AI vampire...You're up all night doing AI coding because you are so productive." The reason they can't switch off is opportunity cost: "If you go to sleep, you won't be with your 20 AI coding agents keeping them working on all the projects that you have them working on. And so people stop sleeping." Marc describes friends, some of them famous, who look visibly worse than they did six months ago. Sleep-deprived, bags under their eyes, clearly not taking care of themselves. And yet "they are absolutely ecstatic because they are able to produce five times, 10 times, 20 times more code per hour than they could in the past." He shares one example, a Wall Street friend with a 35-year-old computer science degree from MIT who had long stopped coding: "He's picked up coding with AI. He's completely reanimated his entire house." AI jukebox, security cameras, robot pet dogs, smart fridges, every project he'd ever imagined. In his spare time, the friend has "generated 500,000 lines of code just by working with AI." The same thing is playing out inside companies. At leading-edge tech firms, Marc says, coders using AI are estimated to be "20 times more productive than they were before they started using AI." So what happens when code becomes that cheap to produce? Marc Andreessen 🇺🇸 points to an elasticity effect: "It turns out there's way more demand for code in the world than was ever able to be satisfied under the old economics. Every company I know has a thousand things that they've wanted to have code for that they've never been able to get to." Now they can do all of it. Companies are shipping products faster, adding features faster, moving into "turbo mode." Coding salaries have inflated to match. According to Marc, the top coders in AI now make $50 million a year, because "they've got the silver bullet. They've got the philosopher's stone." Asked whether any of this is sustainable, his answer is blunt: "Not only is this sustainable, this is going to intensify."$

Marc Andreessen explains how AI turned the valley's best programmers into sleep-deprived "vampires": Marc points out a counterintuitive twist in what AI coding has done to developers. You'd expect one of two outcomes, he says. Either coders would leave the profession entirely "because there's no point anymore," or they'd simply have better lives, working a fraction of the hours now that AI makes them so productive. Neither happened. As Marc puts it: "What's actually happened is virtually to a person, they're all working more hours than ever. To the point where there is a new term of art that's used in the valley called the AI vampire...You're up all night doing AI coding because you are so productive." The reason they can't switch off is opportunity cost: "If you go to sleep, you won't be with your 20 AI coding agents keeping them working on all the projects that you have them working on. And so people stop sleeping." Marc describes friends, some of them famous, who look visibly worse than they did six months ago. Sleep-deprived, bags under their eyes, clearly not taking care of themselves. And yet "they are absolutely ecstatic because they are able to produce five times, 10 times, 20 times more code per hour than they could in the past." He shares one example, a Wall Street friend with a 35-year-old computer science degree from MIT who had long stopped coding: "He's picked up coding with AI. He's completely reanimated his entire house." AI jukebox, security cameras, robot pet dogs, smart fridges, every project he'd ever imagined. In his spare time, the friend has "generated 500,000 lines of code just by working with AI." The same thing is playing out inside companies. At leading-edge tech firms, Marc says, coders using AI are estimated to be "20 times more productive than they were before they started using AI." So what happens when code becomes that cheap to produce? Marc Andreessen 🇺🇸 points to an elasticity effect: "It turns out there's way more demand for code in the world than was ever able to be satisfied under the old economics. Every company I know has a thousand things that they've wanted to have code for that they've never been able to get to." Now they can do all of it. Companies are shipping products faster, adding features faster, moving into "turbo mode." Coding salaries have inflated to match. According to Marc, the top coders in AI now make $50 million a year, because "they've got the silver bullet. They've got the philosopher's stone." Asked whether any of this is sustainable, his answer is blunt: "Not only is this sustainable, this is going to intensify."

Big Brain AI

21,439 просмотров • 3 месяцев назад

Marc Andreessen says if he were 18 right now, AI is "100% what I would be spending all of my time on." When the co-founder of a16z shares his opinion on what to do in tech, you listen. When he looks at AI today, he sees something that has never existed before in the history of software. AI agents can operate with very little human involvement. The reason is they can run on a Unix shell, the same command line system that has powered computers for decades. With a single instruction from you, it can access your files, your network, and your devices. Or you can instruct it to rewrite its own code. And even if it needs a new capability, you can allow it to write the code itself and install it. Here's a real example of this happening: One of his friends had his agent rewrite the firmware on a robot dog that could barely climb stairs. The agent rebuilt the entire control system. The dog is now a functional pet for his kids, and whenever something breaks, the agent just fixes the code again. Andreessen says no widely deployed software system in history has ever been able to understand and modify itself like this. He calls it "an incredible conceptual breakthrough." — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

Marc Andreessen says if he were 18 right now, AI is "100% what I would be spending all of my time on." When the co-founder of a16z shares his opinion on what to do in tech, you listen. When he looks at AI today, he sees something that has never existed before in the history of software. AI agents can operate with very little human involvement. The reason is they can run on a Unix shell, the same command line system that has powered computers for decades. With a single instruction from you, it can access your files, your network, and your devices. Or you can instruct it to rewrite its own code. And even if it needs a new capability, you can allow it to write the code itself and install it. Here's a real example of this happening: One of his friends had his agent rewrite the firmware on a robot dog that could barely climb stairs. The agent rebuilt the entire control system. The dog is now a functional pet for his kids, and whenever something breaks, the agent just fixes the code again. Andreessen says no widely deployed software system in history has ever been able to understand and modify itself like this. He calls it "an incredible conceptual breakthrough." — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

GeniusThinking

76,548 просмотров • 5 месяцев назад

Marc Andreessen: "Productivity growth is about to go through the roof." "Productivity growth for the last 50–60 years has been basically at historical lows... Fundamentally, I think it's because we decided other things are more important." "We decided we didn't want nuclear power. We decided we didn't want a space program. We decided we didn't want cars that went faster than 55." "What we got in the last 50 years was hyper-acceleration in very specifically—chips and software. And then essentially stagnation in everything else." "If either the AI optimists are correct, or the AI doomsayers are correct, productivity growth is about to go through the roof." Marc Andreessen 🇺🇸 at Cisco AI Summit

Marc Andreessen: "Productivity growth is about to go through the roof." "Productivity growth for the last 50–60 years has been basically at historical lows... Fundamentally, I think it's because we decided other things are more important." "We decided we didn't want nuclear power. We decided we didn't want a space program. We decided we didn't want cars that went faster than 55." "What we got in the last 50 years was hyper-acceleration in very specifically—chips and software. And then essentially stagnation in everything else." "If either the AI optimists are correct, or the AI doomsayers are correct, productivity growth is about to go through the roof." Marc Andreessen 🇺🇸 at Cisco AI Summit

a16z

77,012 просмотров • 7 месяцев назад

Marc Andreessen, co-founder of a16z: "The price of AI is dropping faster than Moore's Law. The per-unit cost of every AI input is collapsing." The GPU shortage everyone is panicking over? In his read it flips to surplus within a decade. Shortage is the number one cause of surplus. The thing you can't get today gets built until it's cheap. The man who funded half the internet says the bottleneck strangling you now is temporary by design.

Marc Andreessen, co-founder of a16z: "The price of AI is dropping faster than Moore's Law. The per-unit cost of every AI input is collapsing." The GPU shortage everyone is panicking over? In his read it flips to surplus within a decade. Shortage is the number one cause of surplus. The thing you can't get today gets built until it's cheap. The man who funded half the internet says the bottleneck strangling you now is temporary by design.

zostaff

163,825 просмотров • 3 месяцев назад

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.

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

913,462 просмотров • 7 месяцев назад

"Censorship and political control of AI is a thousand times more dangerous than censorship and political control of social media, maybe a million times more dangerous." One day, AI will become the decision layer for everything, including healthcare systems and government, Marc Andreessen 🇺🇸 says. As AI systems evolve, who decides what information they prioritize or filter? Listen to the full conversation with Bari Weiss on The Free Press's Honestly with Bari Weiss.

"Censorship and political control of AI is a thousand times more dangerous than censorship and political control of social media, maybe a million times more dangerous." One day, AI will become the decision layer for everything, including healthcare systems and government, Marc Andreessen 🇺🇸 says. As AI systems evolve, who decides what information they prioritize or filter? Listen to the full conversation with Bari Weiss on The Free Press's Honestly with Bari Weiss.

a16z

49,086 просмотров • 1 год назад

📁 Dario Amodei, CEO of Anthropic, argues that AI is not programmed like a computer. It is cultivated, and that changes everything. A model is not just code. It is a system that grows and develops its own behavior. As capability increases, control becomes less visible. Power scales faster than alignment.

📁 Dario Amodei, CEO of Anthropic, argues that AI is not programmed like a computer. It is cultivated, and that changes everything. A model is not just code. It is a system that grows and develops its own behavior. As capability increases, control becomes less visible. Power scales faster than alignment.

Jon Hernandez

24,554 просмотров • 7 месяцев назад

Marc Andreessen says the person who invents a technology is the least qualified person alive to predict what it is for. He says Thomas Edison invented the phonograph and was certain what it was for. Edison, a devout and proper man, pictured families gathered at night listening to recorded sermons from the great preachers of the day. Then it shipped. And of course, it was for music. He says inventors are too buried in the here and now to see what their creation becomes. So when the press asks the inventors of AI to predict its future, they are asking the least qualified people alive. — Marc Andreessen (.Marc Andreessen 🇺🇸) on David Senra's (.David Senra) podcast

Marc Andreessen says the person who invents a technology is the least qualified person alive to predict what it is for. He says Thomas Edison invented the phonograph and was certain what it was for. Edison, a devout and proper man, pictured families gathered at night listening to recorded sermons from the great preachers of the day. Then it shipped. And of course, it was for music. He says inventors are too buried in the here and now to see what their creation becomes. So when the press asks the inventors of AI to predict its future, they are asking the least qualified people alive. — Marc Andreessen (.Marc Andreessen 🇺🇸) on David Senra's (.David Senra) podcast

GeniusThinking

106,943 просмотров • 1 месяц назад

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?

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 просмотров • 7 месяцев назад

Marc Andreessen on the imperative of speed in AI adoption: "Both the AI utopians and the AI doomers are far too optimistic." "They believe that because the technology makes something possible, 8 billion people all of a sudden are going to change how they behave. It's like—no. So much of how the existing economy works is just wired in." "We're going to be lucky as a society if AI adoption happens quickly. Because if it doesn't, what we're going to have is stagnation." Marc Andreessen 🇺🇸 with Latent.Space

Marc Andreessen on the imperative of speed in AI adoption: "Both the AI utopians and the AI doomers are far too optimistic." "They believe that because the technology makes something possible, 8 billion people all of a sudden are going to change how they behave. It's like—no. So much of how the existing economy works is just wired in." "We're going to be lucky as a society if AI adoption happens quickly. Because if it doesn't, what we're going to have is stagnation." Marc Andreessen 🇺🇸 with Latent.Space

a16z

70,510 просмотров • 5 месяцев назад

Everyone is worried AI will end up controlled by two or three companies. Marc Andreessen argues the opposite happened, and that it has reached ordinary people faster than any technology in history. Here's the case he makes: 1) A billion people are already using it

Everyone is worried AI will end up controlled by two or three companies. Marc Andreessen argues the opposite happened, and that it has reached ordinary people faster than any technology in history. Here's the case he makes: 1) A billion people are already using it

GeniusThinking

16,146 просмотров • 1 месяц назад

Anthropic co-founder Jack Clark says the AI frontier is about to cross a much stranger line than coding assistants. "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' And it just goes off and does that completely autonomously." The reason: models have moved from basic coding into "the production of science itself" and the "unglamorous but fundamental engineering work" behind large-scale R&D. "An AI system that can build itself [has] big implications, and we'd like to start thinking about it now." That is the actual agent threshold: not demos, not chat UX, but AI becoming part of the loop that improves AI.

Anthropic co-founder Jack Clark says the AI frontier is about to cross a much stranger line than coding assistants. "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' And it just goes off and does that completely autonomously." The reason: models have moved from basic coding into "the production of science itself" and the "unglamorous but fundamental engineering work" behind large-scale R&D. "An AI system that can build itself [has] big implications, and we'd like to start thinking about it now." That is the actual agent threshold: not demos, not chat UX, but AI becoming part of the loop that improves AI.

Karl Mehta

209,183 просмотров • 2 месяцев назад

.Marc Andreessen 🇺🇸 on the economic experiment playing out in real time as AI is put in the hands of programmers: "If you believe in the Luddite zero-sum argument, you would expect that they would be working less and less... getting paid less and less, and rapidly becoming unemployed." "The observed behavior of what's happening is very clear, which is the opposite." "They're working harder than ever. They're working more hours than ever." "They stop sleeping... they're bleary-eyed, they've got these huge bags under their eyes. They're completely exhausted, but they're euphoric." "If you increase marginal productivity of the worker, you don't have a diminishment of human work, you have an expansion of human work."

.Marc Andreessen 🇺🇸 on the economic experiment playing out in real time as AI is put in the hands of programmers: "If you believe in the Luddite zero-sum argument, you would expect that they would be working less and less... getting paid less and less, and rapidly becoming unemployed." "The observed behavior of what's happening is very clear, which is the opposite." "They're working harder than ever. They're working more hours than ever." "They stop sleeping... they're bleary-eyed, they've got these huge bags under their eyes. They're completely exhausted, but they're euphoric." "If you increase marginal productivity of the worker, you don't have a diminishment of human work, you have an expansion of human work."

a16z

37,472 просмотров • 4 месяцев назад

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Big Brain AI

211,750 просмотров • 4 месяцев назад