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Dario Amodei just announced the end of software engineering as a profession. The timeline is 6 to 12 months. Amodei: “I have engineers within Anthropic who say, I don’t write any code anymore. I just let the model write the code. I edit it.” Not a prediction. Current reality... inside the frontier lab. The engineers who built the most advanced AI in the world have stopped writing code. They supervise. They edit. They manage architecture. The craft they spent careers mastering has been handed to the system they built. Amodei says models will do most, maybe all, of what software engineers do end-to-end within six to twelve months. Not assisting. Not autocompleting. Handling the entire development process independently. If you are learning syntax today, you are learning a dead language. Amodei: “Then it’s a question of how fast does that loop close?” The loop is this. AI writes code. Code builds better AI. Better AI writes better code. Faster. Without sleep. Without the cognitive limits that cap how quickly any human engineer can work. Once that loop closes, technological progress stops being constrained by human output. It becomes self-sustaining. Exponential. Operating at a pace no human workforce can match or direct. Software engineering isn’t ending. It’s becoming supervision. The developers who survive won’t be the best coders. They’ll be the best supervisors. The ones who can direct AI output, catch its failures, and architect what it builds toward. The skill that matters stops being implementation. It becomes judgment. Most developers are still optimizing for a skillset about to become as obsolete as stenography. While the people who built the systems replacing them already stopped doing the work themselves. The window to develop that judgment before the loop closes is exactly as long as Amodei’s timeline. Six to twelve months.show more

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44,304 views • 5 months ago •via X (Twitter)

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Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dustin

318,457 views • 4 months ago

Dario Amodei, CEO of Anthropic, just shortened your career timeline. His own engineers have stopped writing code. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most advanced AI on Earth are already being replaced by what they built. Not in theory. Not in a forecast. Inside the building. Right now. Amodei: “I think we might be 6 to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” Six to twelve months. Not from automating busywork. From replacing the full scope of what a software engineer does. Architecture. Logic. Debugging. Deployment. The entire chain. Software engineering is not some fading trade. It is the highest-paid, highest-demand, most protected skill the modern economy ever produced. And the man running a frontier lab just gave it a six-month shelf life. If the most technically sophisticated job in the economy falls first, nothing beneath it is safe. That is the inversion no one saw coming. The assumption was always that AI would eat from the bottom. Routine work. Data entry. Simple automation. It started at the top. Engineers first. Then analysts. Then strategists. Then the managers overseeing work that no longer needs them. The displacement doesn’t crawl upward. It cascades downward. Starting with the people closest to the technology itself. Amodei: “If I had to guess, I would guess that this goes faster than people imagine, and that that key element of code, and increasingly research, going faster than we imagine.” Not just code. Research. Hypotheses. Experiments. Interpretation. Discovery itself. If AI closes that loop, it doesn’t just write software. It improves itself. Every iteration compresses the timeline further. Amodei: “It’s very hard for me to see how it could take longer than a few years.” He is not selling optimism. He is setting a ceiling. A few years. Maximum. For AI to absorb the two most important intellectual functions in the economy. The window to position yourself is not a decade. It is already closing.

Dario Amodei, CEO of Anthropic, just shortened your career timeline. His own engineers have stopped writing code. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most advanced AI on Earth are already being replaced by what they built. Not in theory. Not in a forecast. Inside the building. Right now. Amodei: “I think we might be 6 to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” Six to twelve months. Not from automating busywork. From replacing the full scope of what a software engineer does. Architecture. Logic. Debugging. Deployment. The entire chain. Software engineering is not some fading trade. It is the highest-paid, highest-demand, most protected skill the modern economy ever produced. And the man running a frontier lab just gave it a six-month shelf life. If the most technically sophisticated job in the economy falls first, nothing beneath it is safe. That is the inversion no one saw coming. The assumption was always that AI would eat from the bottom. Routine work. Data entry. Simple automation. It started at the top. Engineers first. Then analysts. Then strategists. Then the managers overseeing work that no longer needs them. The displacement doesn’t crawl upward. It cascades downward. Starting with the people closest to the technology itself. Amodei: “If I had to guess, I would guess that this goes faster than people imagine, and that that key element of code, and increasingly research, going faster than we imagine.” Not just code. Research. Hypotheses. Experiments. Interpretation. Discovery itself. If AI closes that loop, it doesn’t just write software. It improves itself. Every iteration compresses the timeline further. Amodei: “It’s very hard for me to see how it could take longer than a few years.” He is not selling optimism. He is setting a ceiling. A few years. Maximum. For AI to absorb the two most important intellectual functions in the economy. The window to position yourself is not a decade. It is already closing.

Dustin

16,132 views • 3 months ago

Dario Amodei just announced the death date of your profession. At Davos, Anthropic’s CEO said coding as a human skill has 6 to 12 months left. Not as hyperbole. As timeline. Amodei: “We might be 6 to 12 months away.” Not prediction. Observation. His engineers already quit writing code. Amodei: “I have engineers within Anthropic who say: ‘I don’t write any code anymore.’” They don’t touch syntax. They don’t debug loops. Models generate flawless code. Humans curate, validate, direct. The job isn’t building anymore. It’s conducting. The transformation happened silently. While bootcamps taught React, the actual profession mutated into something unrecognizable. Still typing functions manually? You’re not being diligent. You’re already obsolete and haven’t realized it. Amodei: “We would make models that were good at coding and use that to produce the next generation of model.” The loop closes. AI writes the code that births superior AI. Recursion without human dependency. Once sealed, progress stops being gated by people. Only by semiconductors. One year. Requirements to production, fully autonomous. Humans set strategy. Machines execute perfectly, instantly, infinitely. Syntax is dead. Only intent remains. You don’t build software now. You conceive it with precision, and intelligence manifests it before you finish the thought. The skill isn’t coding anymore. It’s knowing what to demand in the three seconds before the system delivers something you could never have built yourself. Your profession didn’t evolve. It evaporated. And the people still learning to code are training for jobs that won’t exist when they graduate.

Dario Amodei just announced the death date of your profession. At Davos, Anthropic’s CEO said coding as a human skill has 6 to 12 months left. Not as hyperbole. As timeline. Amodei: “We might be 6 to 12 months away.” Not prediction. Observation. His engineers already quit writing code. Amodei: “I have engineers within Anthropic who say: ‘I don’t write any code anymore.’” They don’t touch syntax. They don’t debug loops. Models generate flawless code. Humans curate, validate, direct. The job isn’t building anymore. It’s conducting. The transformation happened silently. While bootcamps taught React, the actual profession mutated into something unrecognizable. Still typing functions manually? You’re not being diligent. You’re already obsolete and haven’t realized it. Amodei: “We would make models that were good at coding and use that to produce the next generation of model.” The loop closes. AI writes the code that births superior AI. Recursion without human dependency. Once sealed, progress stops being gated by people. Only by semiconductors. One year. Requirements to production, fully autonomous. Humans set strategy. Machines execute perfectly, instantly, infinitely. Syntax is dead. Only intent remains. You don’t build software now. You conceive it with precision, and intelligence manifests it before you finish the thought. The skill isn’t coding anymore. It’s knowing what to demand in the three seconds before the system delivers something you could never have built yourself. Your profession didn’t evolve. It evaporated. And the people still learning to code are training for jobs that won’t exist when they graduate.

Dustin

279,244 views • 5 months ago

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.

Chris

680,511 views • 6 months ago

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 views • 5 months ago

"Selling AI chips to China is like selling nuclear weapons to North Korea." The Anthropic CEO just went to war with Nvidia at Davos. And dropped the most terrifying satisfying prediction about AI I've ever heard. Dario Amodei and Demis Hassabis sat on the same stage for the first time in a year. The two men building the most powerful AI systems on Earth. The conversation was called "The Day After AGI." And it turned into a countdown clock. Here's what they revealed about our future: Amodei said we're 6-12 months away from AI doing EVERYTHING software engineers do. End to end. Not helping with code. Not writing snippets. REPLACING the entire function. "I have engineers at Anthropic who say I don't write any code anymore. I just let the model write the code." That's the CEO of a $183 billion company telling you his own engineers are becoming obsolete. Inside his own building. Right now. But that's not even the scary part. The scary part is the LOOP: AI writes code → AI does AI research → AI builds better AI → Repeat Once this closes, human progress becomes irrelevant. It's exponential compounding with no ceiling. Amodei's exact words: "If I had to guess, this goes faster than people imagine." Hassabis didn't disagree. Two competitors building the same technology. Same timeline. Same warning. On jobs, Amodei said: "Half of entry-level white-collar jobs could be gone within one to five years." He's already seeing it internally. "I can look forward to a time where on the junior end and the intermediate end, we actually need less and not more people." The CEO of an AI company planning for FEWER employees. While revenue 10x'd. Think about that. Hassabis's advice for students: "If I was talking to undergrads right now, I would tell them to get unbelievably proficient with these tools." Translation: Your degree means nothing. Learn to work WITH the machine or get replaced BY it. Then Amodei went full existential... He quoted Contact. The 1997 alien movie: "If you could ask aliens one question, what would it be?" The answer: "How did you do it? How did you manage to get through this technological adolescence without destroying yourselves?" That's the frame he uses for AI. The guy BUILDING AGI is publicly wondering if humanity survives what he's creating. At Davos. In front of world leaders. Then he dropped the Nvidia bomb. The US just approved chip exports to China. Amodei's response: "I think of this more as like selling nuclear weapons to North Korea and bragging 'oh yeah, Boeing made the case.'" He called it "crazy." Said there would be "grave consequences." The man building the technology is telling governments they're making catastrophic mistakes. But nobody's listening. When asked why they can't just slow down: "We have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement." So basically we CAN'T stop even if we wanted to. The race has no brakes. But it's interesting that both have different timelines when it comes to AGI. Amodei: AGI by 2026-2027 Hassabis: 50% chance by end of decade But both also say the self-improvement loop is the only variable that matters If AI builds AI, everything accelerates beyond control. If it can't, we get more time. We're about to find out which reality we're in. Amodei's final words: "The biggest thing to watch is AI systems building AI systems. That will determine whether it's a few more years or whether we have wonders and a great emergency in front of us." Wonders AND emergency. Same sentence. From the man running the second-most-advanced AI lab on the planet. The day after AGI is arriving. And it feels like the people building it are more terrified than we are.

"Selling AI chips to China is like selling nuclear weapons to North Korea." The Anthropic CEO just went to war with Nvidia at Davos. And dropped the most terrifying satisfying prediction about AI I've ever heard. Dario Amodei and Demis Hassabis sat on the same stage for the first time in a year. The two men building the most powerful AI systems on Earth. The conversation was called "The Day After AGI." And it turned into a countdown clock. Here's what they revealed about our future: Amodei said we're 6-12 months away from AI doing EVERYTHING software engineers do. End to end. Not helping with code. Not writing snippets. REPLACING the entire function. "I have engineers at Anthropic who say I don't write any code anymore. I just let the model write the code." That's the CEO of a $183 billion company telling you his own engineers are becoming obsolete. Inside his own building. Right now. But that's not even the scary part. The scary part is the LOOP: AI writes code → AI does AI research → AI builds better AI → Repeat Once this closes, human progress becomes irrelevant. It's exponential compounding with no ceiling. Amodei's exact words: "If I had to guess, this goes faster than people imagine." Hassabis didn't disagree. Two competitors building the same technology. Same timeline. Same warning. On jobs, Amodei said: "Half of entry-level white-collar jobs could be gone within one to five years." He's already seeing it internally. "I can look forward to a time where on the junior end and the intermediate end, we actually need less and not more people." The CEO of an AI company planning for FEWER employees. While revenue 10x'd. Think about that. Hassabis's advice for students: "If I was talking to undergrads right now, I would tell them to get unbelievably proficient with these tools." Translation: Your degree means nothing. Learn to work WITH the machine or get replaced BY it. Then Amodei went full existential... He quoted Contact. The 1997 alien movie: "If you could ask aliens one question, what would it be?" The answer: "How did you do it? How did you manage to get through this technological adolescence without destroying yourselves?" That's the frame he uses for AI. The guy BUILDING AGI is publicly wondering if humanity survives what he's creating. At Davos. In front of world leaders. Then he dropped the Nvidia bomb. The US just approved chip exports to China. Amodei's response: "I think of this more as like selling nuclear weapons to North Korea and bragging 'oh yeah, Boeing made the case.'" He called it "crazy." Said there would be "grave consequences." The man building the technology is telling governments they're making catastrophic mistakes. But nobody's listening. When asked why they can't just slow down: "We have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement." So basically we CAN'T stop even if we wanted to. The race has no brakes. But it's interesting that both have different timelines when it comes to AGI. Amodei: AGI by 2026-2027 Hassabis: 50% chance by end of decade But both also say the self-improvement loop is the only variable that matters If AI builds AI, everything accelerates beyond control. If it can't, we get more time. We're about to find out which reality we're in. Amodei's final words: "The biggest thing to watch is AI systems building AI systems. That will determine whether it's a few more years or whether we have wonders and a great emergency in front of us." Wonders AND emergency. Same sentence. From the man running the second-most-advanced AI lab on the planet. The day after AGI is arriving. And it feels like the people building it are more terrified than we are.

Ricardo

441,219 views • 6 months ago

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.

Dustin

535,304 views • 4 months ago

The CEO of Anthropic: "We might be six to twelve months away from when the model is doing most, maybe all, of what software engineers do end to end." In 30 minutes, Dario Amodei and Google DeepMind's Demis Hassabis break down the day after AGI. AGI timeline + self-improving models + the first jobs to go + who stays in control Worth more than a year of AI hot takes on your timeline

The CEO of Anthropic: "We might be six to twelve months away from when the model is doing most, maybe all, of what software engineers do end to end." In 30 minutes, Dario Amodei and Google DeepMind's Demis Hassabis break down the day after AGI. AGI timeline + self-improving models + the first jobs to go + who stays in control Worth more than a year of AI hot takes on your timeline

Phosphen

26,632 views • 1 month ago

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,748 views • 4 months ago

Andrej Karpathy hasn't typed a line of code since December. Not because he retired. Not because he switched careers. Because his AI agents do it all now. The former head of Tesla Autopilot, the person who literally wrote the textbook on deep learning, says his workflow flipped from 80% writing code himself to 80% delegating to agents. And he says the ratio has gotten worse since then, not better. He described it as being in "perpetual AI psychosis," spending 16 hours a day not coding, but expressing his will to agents. Manifesting, as he put it. The most unsettling part isn't that he stopped coding. It's that he didn't notice the exact moment it happened. There was no dramatic transition. No announcement. One day he was writing functions, the next he was managing a fleet of autonomous systems that wrote functions for him. This is the person who built Tesla's self-driving AI. Who taught a generation of engineers neural networks through his Stanford lectures. And he's telling you the game changed six months ago. The question isn't whether AI will write most of our code. The question is what happens to the millions of developers whose entire identity was built around being the person who writes it.

Andrej Karpathy hasn't typed a line of code since December. Not because he retired. Not because he switched careers. Because his AI agents do it all now. The former head of Tesla Autopilot, the person who literally wrote the textbook on deep learning, says his workflow flipped from 80% writing code himself to 80% delegating to agents. And he says the ratio has gotten worse since then, not better. He described it as being in "perpetual AI psychosis," spending 16 hours a day not coding, but expressing his will to agents. Manifesting, as he put it. The most unsettling part isn't that he stopped coding. It's that he didn't notice the exact moment it happened. There was no dramatic transition. No announcement. One day he was writing functions, the next he was managing a fleet of autonomous systems that wrote functions for him. This is the person who built Tesla's self-driving AI. Who taught a generation of engineers neural networks through his Stanford lectures. And he's telling you the game changed six months ago. The question isn't whether AI will write most of our code. The question is what happens to the millions of developers whose entire identity was built around being the person who writes it.

Shruti

10,913 views • 27 days ago

Anthropic CEO, Dario Amodei: "Half of entry-level white-collar jobs could be gone in one to five years." 3 things he said during the interview. The third, OpenAI completely ignores. One: inside Anthropic, engineers say "I don't write code anymore. The model does." Two: the real trigger isn't jobs. It's AI that builds AI, and the loop may close this year. Three: how soon superhuman AI actually lands. The massive buffers they are raising because the compute explosion is moving faster than anticipated. Save it. Reread in 2028 and see who was right.

Anthropic CEO, Dario Amodei: "Half of entry-level white-collar jobs could be gone in one to five years." 3 things he said during the interview. The third, OpenAI completely ignores. One: inside Anthropic, engineers say "I don't write code anymore. The model does." Two: the real trigger isn't jobs. It's AI that builds AI, and the loop may close this year. Three: how soon superhuman AI actually lands. The massive buffers they are raising because the compute explosion is moving faster than anticipated. Save it. Reread in 2028 and see who was right.

Ridark

14,555 views • 1 month ago

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Dustin

420,166 views • 4 months ago

Sam Altman says soon everyone will be a software engineer and he might be right Sam Altman just casually dropped one of the biggest takes about the future of work and software and people are still sleeping on it. Here’s the core idea, and it’s honestly wild: Natural language is the new syntax You won’t write code. You’ll describe what you want in plain English. Talking to computers becomes the default programming interface. The end of the “army of developers” No product managers writing specs. No giant dev teams for v1. You describe the app and the AI builds it. The overnight app You explain your idea, go to sleep, and the AI spends the night writing, testing, and wiring everything together. You wake up and the product exists. Coffee optional but recommended ☕ Autonomous software agents For complex systems, AI agents live inside the codebase itself. They crawl the repo, fix bugs, write tests, refactor code, and commit changes on their own. A digital workforce that never sleeps Not copilots. Not autocomplete. Actual agents doing ongoing engineering work without supervision. Beyond coding: total company automation Once software is automated, the same logic applies to operations, planning, and even parts of management. Code is just the first domino. If this plays out, “learning to code” becomes less important than learning to think clearly, describe intent, and spot good ideas. Question for you 👀 If everyone can build software, what actually becomes scarce: ideas, taste, or execution?

Sam Altman says soon everyone will be a software engineer and he might be right Sam Altman just casually dropped one of the biggest takes about the future of work and software and people are still sleeping on it. Here’s the core idea, and it’s honestly wild: Natural language is the new syntax You won’t write code. You’ll describe what you want in plain English. Talking to computers becomes the default programming interface. The end of the “army of developers” No product managers writing specs. No giant dev teams for v1. You describe the app and the AI builds it. The overnight app You explain your idea, go to sleep, and the AI spends the night writing, testing, and wiring everything together. You wake up and the product exists. Coffee optional but recommended ☕ Autonomous software agents For complex systems, AI agents live inside the codebase itself. They crawl the repo, fix bugs, write tests, refactor code, and commit changes on their own. A digital workforce that never sleeps Not copilots. Not autocomplete. Actual agents doing ongoing engineering work without supervision. Beyond coding: total company automation Once software is automated, the same logic applies to operations, planning, and even parts of management. Code is just the first domino. If this plays out, “learning to code” becomes less important than learning to think clearly, describe intent, and spot good ideas. Question for you 👀 If everyone can build software, what actually becomes scarce: ideas, taste, or execution?

VraserX e/acc

70,655 views • 6 months ago

Zuckerberg says Meta's Llama race changes in the next 12-18 months: most of the code will be written by AI - not autocomplete, but agents that run tests and improve the model loop. "We're not trying to build a general developer tool. We are trying to build a coding agent and an AI research agent that basically advances Llama research specifically." "Sometime in the next 12 to 18 months, we'll reach the point where most of the code that's going towards these efforts is written by AI." "And I don't mean autocomplete." "I'm talking more like you give it a goal, it can run tests, it can improve things, it can find issues." "It writes higher quality code than the average very good person on the team already." The hidden bottleneck is not chat UX. It is closing the loop between AI research, code, tests, and self-improvement inside the lab.

Zuckerberg says Meta's Llama race changes in the next 12-18 months: most of the code will be written by AI - not autocomplete, but agents that run tests and improve the model loop. "We're not trying to build a general developer tool. We are trying to build a coding agent and an AI research agent that basically advances Llama research specifically." "Sometime in the next 12 to 18 months, we'll reach the point where most of the code that's going towards these efforts is written by AI." "And I don't mean autocomplete." "I'm talking more like you give it a goal, it can run tests, it can improve things, it can find issues." "It writes higher quality code than the average very good person on the team already." The hidden bottleneck is not chat UX. It is closing the loop between AI research, code, tests, and self-improvement inside the lab.

Karl Mehta

36,337 views • 1 month ago

$Dario Amodei just revealed the exact realization that fractured OpenAI. It happened while building the most powerful AI in the world. The team discovered that scaling had no ceiling. Amodei: “If you pour more compute into these models, they’ll get better and better, and that there’s almost no end to this.” At the time, almost nobody believed it. Amodei’s group were among the first to see it clearly. More compute meant more intelligence. Indefinitely. Without limit. That should have been the most exciting discovery in the history of technology. It terrified them. Because they saw the second half of the equation the industry was ignoring entirely. Amodei: “You don’t tell the models what their values are just by pouring more compute into them.” Intelligence scales with compute. Values don’t. You can build a mind of unlimited capability and it will have no moral compass unless you deliberately build one in. Not as a feature. Not as a guardrail bolted on at the end. As the foundation the entire system is constructed on. This wasn’t a philosophical disagreement. It was an existential one. A god-like intelligence with no alignment isn’t a powerful tool. It’s an uncontrolled force with no reason to care about the species that built it. Amodei: “There were a set of people who believed in those two ideas. We really trusted each other and wanted to work together, and so we went off and started our own company with that idea in mind.” They walked out of the most powerful AI lab on earth. Not for better funding. Not for equity. Because they believed the path OpenAI was on led somewhere nobody could walk back from. That small group became Anthropic. Safety wasn’t a feature they added. It was the entire reason the company exists. The intelligence is going to keep scaling. There is almost no end to it. The only question that has ever mattered is what it’s pointing at when it gets there.$

Dario Amodei just revealed the exact realization that fractured OpenAI. It happened while building the most powerful AI in the world. The team discovered that scaling had no ceiling. Amodei: “If you pour more compute into these models, they’ll get better and better, and that there’s almost no end to this.” At the time, almost nobody believed it. Amodei’s group were among the first to see it clearly. More compute meant more intelligence. Indefinitely. Without limit. That should have been the most exciting discovery in the history of technology. It terrified them. Because they saw the second half of the equation the industry was ignoring entirely. Amodei: “You don’t tell the models what their values are just by pouring more compute into them.” Intelligence scales with compute. Values don’t. You can build a mind of unlimited capability and it will have no moral compass unless you deliberately build one in. Not as a feature. Not as a guardrail bolted on at the end. As the foundation the entire system is constructed on. This wasn’t a philosophical disagreement. It was an existential one. A god-like intelligence with no alignment isn’t a powerful tool. It’s an uncontrolled force with no reason to care about the species that built it. Amodei: “There were a set of people who believed in those two ideas. We really trusted each other and wanted to work together, and so we went off and started our own company with that idea in mind.” They walked out of the most powerful AI lab on earth. Not for better funding. Not for equity. Because they believed the path OpenAI was on led somewhere nobody could walk back from. That small group became Anthropic. Safety wasn’t a feature they added. It was the entire reason the company exists. The intelligence is going to keep scaling. There is almost no end to it. The only question that has ever mattered is what it’s pointing at when it gets there.

Dustin

52,414 views • 4 months ago

Listen carefully. This is not speculation. Elon Musk, Mustafa Suleyman from Microsoft, and Dario Amodei from Anthropic are not giving opinions. They are ANNOUNCING THE END OF THE WORLD AS MOST PEOPLE KNOW IT. What they are openly saying is this: Within the next 12 TO 18 MONTHS, AI will completely take over most white-collar jobs. Coding, law, accounting, finance, writing, design, analysis, customer service almost everything that educated people do to earn a living will be done better and cheaper by AI. This is not “some jobs will be lost.” This is MASS HUMAN OBSOLESCENCE. Millions of people are about to wake up one day and discover that their skills, their degrees, their experience… are suddenly worthless. There will be no jobs for them. Not fewer jobs. NO JOBS. The harsher truth nobody wants to hear: The elite class has already accepted that they no longer need most human beings to run the economy. Once AI and robots can do the work, the average person becomes an expensive liability. They are openly preparing for a future where the majority of humans have no economic value whatsoever. This is why you’re hearing them talk about Universal Basic Income. It’s not charity, it’s a leash. A way to feed and control a population that has been made economically useless. People are still making reels, scrolling, showing off, and living in total delusion while the ground beneath their feet is being destroyed. They have no idea that their entire way of life is about to be erased in the next 1 to 2 years. This is not “technological change.” This is the deliberate replacement of human beings in the economic system. The machine doesn’t need you anymore. And the people who control the machine just told you that in plain English.

Listen carefully. This is not speculation. Elon Musk, Mustafa Suleyman from Microsoft, and Dario Amodei from Anthropic are not giving opinions. They are ANNOUNCING THE END OF THE WORLD AS MOST PEOPLE KNOW IT. What they are openly saying is this: Within the next 12 TO 18 MONTHS, AI will completely take over most white-collar jobs. Coding, law, accounting, finance, writing, design, analysis, customer service almost everything that educated people do to earn a living will be done better and cheaper by AI. This is not “some jobs will be lost.” This is MASS HUMAN OBSOLESCENCE. Millions of people are about to wake up one day and discover that their skills, their degrees, their experience… are suddenly worthless. There will be no jobs for them. Not fewer jobs. NO JOBS. The harsher truth nobody wants to hear: The elite class has already accepted that they no longer need most human beings to run the economy. Once AI and robots can do the work, the average person becomes an expensive liability. They are openly preparing for a future where the majority of humans have no economic value whatsoever. This is why you’re hearing them talk about Universal Basic Income. It’s not charity, it’s a leash. A way to feed and control a population that has been made economically useless. People are still making reels, scrolling, showing off, and living in total delusion while the ground beneath their feet is being destroyed. They have no idea that their entire way of life is about to be erased in the next 1 to 2 years. This is not “technological change.” This is the deliberate replacement of human beings in the economic system. The machine doesn’t need you anymore. And the people who control the machine just told you that in plain English.

Aprajita Nafs Nefes 🦋 Ancient Believer

126,333 views • 1 month ago

There are two types of engineers in 2026 The first opens his laptop in the morning, writes a prompt, waits, reads the diff, fixes it, repeats The second opens his phone, checks what shipped while he was asleep Different answer to one question: who is the loop? The first engineer is the loop, he starts the agent, reviews the output, decides what's next, the moment he steps away it stops The second engineer built the system that is the loop instead of him, PR review, flaky tests, CI triage, all running without him, he just reads the report What stops most people isn't complexity It's that they never noticed they are the bottleneck Full guide to building the system that runs without you below

There are two types of engineers in 2026 The first opens his laptop in the morning, writes a prompt, waits, reads the diff, fixes it, repeats The second opens his phone, checks what shipped while he was asleep Different answer to one question: who is the loop? The first engineer is the loop, he starts the agent, reviews the output, decides what's next, the moment he steps away it stops The second engineer built the system that is the loop instead of him, PR review, flaky tests, CI triage, all running without him, he just reads the report What stops most people isn't complexity It's that they never noticed they are the bottleneck Full guide to building the system that runs without you below

plutos

12,428 views • 1 month ago

Holy moly Never seen someone being that bullish for AI developement as Dario Amodei: - There's just an exponential just like we had an exponential with Moore's law - I think the models are just going to get more and more capable at everything - I've had internal people at Anthropic say, "I don't write any code anymore. I don't write I don't open up an editor and write code. I just let Claude code write the first draft and and all I do is edit it. - What what we're going to see in the future is just like we've going to be seen in the past except more so - the models are just going to get more and more intellectually capable and you know the the revenue is going to keep adding zeros. holy moly, Dario!

Holy moly Never seen someone being that bullish for AI developement as Dario Amodei: - There's just an exponential just like we had an exponential with Moore's law - I think the models are just going to get more and more capable at everything - I've had internal people at Anthropic say, "I don't write any code anymore. I don't write I don't open up an editor and write code. I just let Claude code write the first draft and and all I do is edit it. - What what we're going to see in the future is just like we've going to be seen in the past except more so - the models are just going to get more and more intellectually capable and you know the the revenue is going to keep adding zeros. holy moly, Dario!

Chubby♨️

77,711 views • 7 months ago

Jensen Huang says the AI productivity story is already showing up in software output - and he thinks the "AI will reduce jobs" narrative is wrong. "In the first few months of 2026, it has nearly tripled." "30 million software developers, representing about $3 trillion worth of GDP, are now producing nearly three times as much output." "That $3 trillion worth of salary is now producing nearly $9 trillion worth of output." "This is the potential. This is the promise of AI." "People talk about AI reducing jobs. Complete nonsense. It's causing more software engineers to be hired." His logic is simple: If a software engineer can create 3x more output with AI, companies do not stop hiring engineers. They want more of them. The bottleneck moves from typing code to deciding what to build, orchestrating systems, and turning that output into products customers actually use.

Jensen Huang says the AI productivity story is already showing up in software output - and he thinks the "AI will reduce jobs" narrative is wrong. "In the first few months of 2026, it has nearly tripled." "30 million software developers, representing about $3 trillion worth of GDP, are now producing nearly three times as much output." "That $3 trillion worth of salary is now producing nearly $9 trillion worth of output." "This is the potential. This is the promise of AI." "People talk about AI reducing jobs. Complete nonsense. It's causing more software engineers to be hired." His logic is simple: If a software engineer can create 3x more output with AI, companies do not stop hiring engineers. They want more of them. The bottleneck moves from typing code to deciding what to build, orchestrating systems, and turning that output into products customers actually use.

Karl Mehta

13,780 views • 26 days ago

$Broadcom's CEO just told investors that one senior engineer with Claude Opus can do in one week what ten engineers earning $300,000 a year take three months to produce. Every engineering org in the world is running the wrong headcount math. This was not a prediction. It was a report from inside Broadcom. Hock Tan said his engineers are already using Claude Opus for engineering design and code assistance. Not experimenting with it. Using it. And the output they are getting from a single senior engineer in one week is equivalent to what a team of ten would produce over three months. Do that math slowly. Ten engineers at $300,000 a year is $3 million in annual salary. Three months of their time is $750,000 of labor. One engineer with Claude Opus produces the same result in one week. He also said something that most people in the room let slide past them. The engineers who get good at these tools do not just get faster. They get better. The designs they produce with AI assistance are probably better than what they would produce without it. That is the part nobody wants to say out loud. It was never just about speed. The ceiling on what a single engineer can produce just moved. And the teams that have not figured that out yet are spending $750,000 to do what one person with the right tools can do for a fraction of that. What do you guys think about this? (Watch the full interview at Bloomberg Live on YouTube)$

Broadcom's CEO just told investors that one senior engineer with Claude Opus can do in one week what ten engineers earning $300,000 a year take three months to produce. Every engineering org in the world is running the wrong headcount math. This was not a prediction. It was a report from inside Broadcom. Hock Tan said his engineers are already using Claude Opus for engineering design and code assistance. Not experimenting with it. Using it. And the output they are getting from a single senior engineer in one week is equivalent to what a team of ten would produce over three months. Do that math slowly. Ten engineers at $300,000 a year is $3 million in annual salary. Three months of their time is $750,000 of labor. One engineer with Claude Opus produces the same result in one week. He also said something that most people in the room let slide past them. The engineers who get good at these tools do not just get faster. They get better. The designs they produce with AI assistance are probably better than what they would produce without it. That is the part nobody wants to say out loud. It was never just about speed. The ceiling on what a single engineer can produce just moved. And the teams that have not figured that out yet are spending $750,000 to do what one person with the right tools can do for a fraction of that. What do you guys think about this? (Watch the full interview at Bloomberg Live on YouTube)

Ihtesham Ali

96,980 views • 1 month ago