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Former CEO of Google, Eric Schmidt: "traditional programming is over, and i'm mourning the identity i built around it" Programmers don't write code anymore — they wake up, assign objectives to AI agents, go to lunch, and let them run overnight For anyone still coding the old way: "stop.... show more

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“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.

“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.

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🇺🇸 EX-GOOGLE BOSS: AI WILL REPLACE MOST PROGRAMMERS IN A YEAR—SUPERINTELLIGENCE COULD ARRIVE IN SIX Former Google CEO, Eric Schmidt: "We believe that in the next year, the vast majority of programmers will be replaced by AI. Within three to five years, we’ll see AGI—systems as smart as the best humans. And in six years, artificial superintelligence—smarter than all of us combined. This is happening fast, and society isn’t ready." Source: Eric Schmidt vitrupo

🇺🇸 EX-GOOGLE BOSS: AI WILL REPLACE MOST PROGRAMMERS IN A YEAR—SUPERINTELLIGENCE COULD ARRIVE IN SIX Former Google CEO, Eric Schmidt: "We believe that in the next year, the vast majority of programmers will be replaced by AI. Within three to five years, we’ll see AGI—systems as smart as the best humans. And in six years, artificial superintelligence—smarter than all of us combined. This is happening fast, and society isn’t ready." Source: Eric Schmidt vitrupo

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Former Google CEO Eric Schmidt says a frontier AI model costs up to $500 million to build and is worth about six months: "Are the scaling laws stopping?" "And the answer right now is no, which is unbelievable." "A model costs $200 to $500 million, you release it, and it has a life expectancy of about six months." "And then there's another one." "And the competition between the leading players is so brutal, right, that they literally count in the number of weeks of value of these things, which costs hundreds of millions of dollars." Schmidt is talking about the build cost. There is a second cost underneath it, which is re-proving each replacement, because whatever testing cleared one version does not carry over to the next. A company that standardizes on a frontier model this year is signing up to do that re-approval work twice a year. - Eric Schmidt (Eric Schmidt), former CEO of Google (Google) and now Chair and CEO of Relativity Space, with Alan Blinder at Princeton's Griswold Center (Princeton University).

Former Google CEO Eric Schmidt says a frontier AI model costs up to $500 million to build and is worth about six months: "Are the scaling laws stopping?" "And the answer right now is no, which is unbelievable." "A model costs $200 to $500 million, you release it, and it has a life expectancy of about six months." "And then there's another one." "And the competition between the leading players is so brutal, right, that they literally count in the number of weeks of value of these things, which costs hundreds of millions of dollars." Schmidt is talking about the build cost. There is a second cost underneath it, which is re-proving each replacement, because whatever testing cleared one version does not carry over to the next. A company that standardizes on a frontier model this year is signing up to do that re-approval work twice a year. - Eric Schmidt (Eric Schmidt), former CEO of Google (Google) and now Chair and CEO of Relativity Space, with Alan Blinder at Princeton's Griswold Center (Princeton University).

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Students at the University of Arizona fiercely booed Former CEO of Google Eric Schmidt when he mentions artificial intelligence He’s basically telling these students every industry they enter will be taken over by AI Eric Schmidt is in the Jeffrey Epstein files. He faces sexual assault, domestic violence, and a corporate surveillance lawsuits filed by his former girlfriend and business partner He donates hundreds of millions to the school and all the students booed him as loudly as they could The case he’s involved with by his former girlfriend alleged forcible rape on a yacht in 2021 and non-consensual sex at Burning Man in 2023. Also sexual battery and harassment. She also alleges “humiliation” rituals She says he put hidden cameras and spyware on devices, unauthorized access to her accounts and emails. She claims Schmidt bragged about a “backdoor” he allegedly built at Google for spying Business disputes over their AI startup ‘Steel Perlot,’ which received $100 million from Schmidt and a mansion

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Most of the market is priced for a world that's coming to an end. Traditional software, legacy platforms, much of the SaaS layer of the S&P 500… all built on the assumption that humans will remain the primary customers. AI agents don't buy software the way we do. They don't need dashboards, subscriptions, or logins. And once the buyer changes, so does everything built around them. The investable opportunity ahead is the agentic economy… what gets built for agents as customers. That's where the next wave of capital ends up, and most people aren't positioned for it.

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Eric Schmidt, former Google CEO, on why top programmers won't be replaced by AI, they'll be amplified by it: He starts with an observation about the existing hierarchy in software: "The very top programmers were worth 10 times more than the ones right below. There's something special about the mathematical reasoning skills of programmers." Rather than flattening that gap, he argues AI will widen it: "Those people will become more valuable, not less valuable, because these systems need to be controlled by humans at the moment. Those people will be capable of grasping the parallelization and the activities of this." To show what this amplification actually looks like in practice, Eric shares a story from a startup he's involved with. He was talking to one of the programmers there, who works on UIs, about his daily workflow: "He said, 'I write the spec of what I want and then I write a test function, an evaluation function. And then I turn it on.' I said, 'What time?' And he goes, '7:00 in the evening.' And I go, 'Okay. What do you then do?' Well, he has dinner with his wife and he goes to sleep." Eric continues: "I said, 'Do you wake up?' Said, 'No, I sleep very well.' 'When does it finish?' 'Oh, 4:00 in the morning.' And then he gets up, has breakfast, you know, does whatever he does, and then he sees what's been good." Eric Schmidt calls the whole thing "mindboggling." The story captures what amplification really means. The programmer isn't writing less code. He's producing a night's worth of work while asleep, because the machine is running on his spec, his tests, his judgment of what "good" looks like. The leverage belongs to those who can define the problem precisely, write the tests that matter, and recognize good output when they see it.

Eric Schmidt, former Google CEO, on why top programmers won't be replaced by AI, they'll be amplified by it: He starts with an observation about the existing hierarchy in software: "The very top programmers were worth 10 times more than the ones right below. There's something special about the mathematical reasoning skills of programmers." Rather than flattening that gap, he argues AI will widen it: "Those people will become more valuable, not less valuable, because these systems need to be controlled by humans at the moment. Those people will be capable of grasping the parallelization and the activities of this." To show what this amplification actually looks like in practice, Eric shares a story from a startup he's involved with. He was talking to one of the programmers there, who works on UIs, about his daily workflow: "He said, 'I write the spec of what I want and then I write a test function, an evaluation function. And then I turn it on.' I said, 'What time?' And he goes, '7:00 in the evening.' And I go, 'Okay. What do you then do?' Well, he has dinner with his wife and he goes to sleep." Eric continues: "I said, 'Do you wake up?' Said, 'No, I sleep very well.' 'When does it finish?' 'Oh, 4:00 in the morning.' And then he gets up, has breakfast, you know, does whatever he does, and then he sees what's been good." Eric Schmidt calls the whole thing "mindboggling." The story captures what amplification really means. The programmer isn't writing less code. He's producing a night's worth of work while asleep, because the machine is running on his spec, his tests, his judgment of what "good" looks like. The leverage belongs to those who can define the problem precisely, write the tests that matter, and recognize good output when they see it.

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I'm building an app from the ground up, and I'm filming every part of it. It's called Slopwatch. It's a great way to pick up tips for using AI Coding tools like a real engineer. First step is choosing the language. Rust/Go? Node/Bun? Only way to find out is to /grill-me.

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Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: ❓Motivation: Most coding agents today can plan, edit, run, and test code. But they still fail at a key part of real-world development, understanding the user! Underspecified, shifting, or context-dependent instructions can easily break them. You must have those moments when coding agents were running for 10 minutes and ended up producing things largely misaligned. (1/)

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— “Mr. President, is the ceasefire over? Is the ceasefire done? Is the MOU dead?” — “To me, I think it's over. I don't wanna deal with them anymore. They're scum. They're sick people. They're led by sick people, and they're vicious, violent people, and if they had a nuclear weapon, they'd use it. As far as I'm concerned, it's over.”

— “Mr. President, is the ceasefire over? Is the ceasefire done? Is the MOU dead?” — “To me, I think it's over. I don't wanna deal with them anymore. They're scum. They're sick people. They're led by sick people, and they're vicious, violent people, and if they had a nuclear weapon, they'd use it. As far as I'm concerned, it's over.”

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LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:

LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:

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"the people who struggle with coding agents are those who try to push their way too hard. partially why I find coding with agents easy is that I've led engineering teams before". this is a unique view on AI coding, that to maximize your output you have to "let go" a bit and accept that the way AI will build the project might not be 100% aligned with your way, it might not even be 100% correct, but it will push the project forward. and if you realize later that you don't like an approach, you can always go back to it later and iterate over it. so there's not always an absolute total gain, but the overall performance is what matters in the end.

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'Is the ceasefire over?' 'I think it's over. I don't want to deal with them anymore, they're scum.' US President Donald Trump is questioned about the state of peace negotiations between the US and Iran.

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Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”

Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”

sourcery

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I built dev tools at GitHub for 7 years before AI coding became the default. AI made code gen fast, but software still depends on the human mind knowing which details matter. AI only made that harder. That's why I built Nuanced, the AI coding app I want. Nuanced is a macOS app for building software with agents around a living spec, keeping intent and implementation connected as the agent builds. Try it:

I built dev tools at GitHub for 7 years before AI coding became the default. AI made code gen fast, but software still depends on the human mind knowing which details matter. AI only made that harder. That's why I built Nuanced, the AI coding app I want. Nuanced is a macOS app for building software with agents around a living spec, keeping intent and implementation connected as the agent builds. Try it:

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