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Anthropic CEO: "It is absolutely wild that people are talking about the same tired political issues, when we are near the end of the AI exponential." Dario Amodei spent 10 minutes explaining why almost nobody sees it. here's what he covers: > in 2017 he predicted exactly where AI...

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Anatoli Kopadze

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1,144,510 просмотров • 3 месяцев назад •via X (Twitter)

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The CEO of Anthropic says nobody is paying attention to what's about to happen. "The most surprising thing has been the lack of public recognition of how close we are to the end of the exponential. To me, it is absolutely wild that you have people talking about the same tired old hot button political issues... We're near the end of the exponential."
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The CEO of Anthropic says nobody is paying attention to what's about to happen. "The most surprising thing has been the lack of public recognition of how close we are to the end of the exponential. To me, it is absolutely wild that you have people talking about the same tired old hot button political issues... We're near the end of the exponential."

MSB Intel

912,475 просмотров • 6 месяцев назад

Dario Amodei, CEO of Anthropic: "The average person on the street has no idea. And that's one of the things I'm trying to change." In a two-hour interview, the Anthropic CEO keeps circling one thing: almost nobody sees how fast this is moving. That blind spot is the opening. A few people see it and are quietly setting up while everyone else waits. The advantage isn't being early to the news. It's being early to the setup. Watch the interview, then see the setup in the article below. Bookmark this one.
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Dario Amodei, CEO of Anthropic: "The average person on the street has no idea. And that's one of the things I'm trying to change." In a two-hour interview, the Anthropic CEO keeps circling one thing: almost nobody sees how fast this is moving. That blind spot is the opening. A few people see it and are quietly setting up while everyone else waits. The advantage isn't being early to the news. It's being early to the setup. Watch the interview, then see the setup in the article below. Bookmark this one.

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Sam Altman, CEO of OpenAI: "GPT 5.6 is 54% more efficient on agentic coding, and it's still the best on the market for half the cost." AI spend has never mattered as much as it does today. As a result the models keep getting better and cheaper at the same time. This is going to widen the gap between the people using AI agents and everyone else, because now it's not just powerful, it's cheap. That's exactly why i wrote a full step by step guide on agents, what they are and how to build your own from scratch. Read it below.
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Sam Altman, CEO of OpenAI: "GPT 5.6 is 54% more efficient on agentic coding, and it's still the best on the market for half the cost." AI spend has never mattered as much as it does today. As a result the models keep getting better and cheaper at the same time. This is going to widen the gap between the people using AI agents and everyone else, because now it's not just powerful, it's cheap. That's exactly why i wrote a full step by step guide on agents, what they are and how to build your own from scratch. Read it below.

Anatoli Kopadze

91,518 просмотров • 1 месяц назад

Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.
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Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.

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62,059 просмотров • 6 месяцев назад

The CEO of OpenAI was asked for his hottest take. His answer wasn't a prediction about a product. It was that the whole world is sleeping through the most important thing happening to it. A student asked Altman for his spiciest take. He paused. He admitted he could probably find a spicier one with more time. Then he landed somewhere quiet. AI is just going to keep going. That sounds obvious until you hear how he framed it. He said this is not widely believed yet. And if it were actually believed, there would be far more reverberations through society right now than there are. That is the whole point. He is not saying people doubt AI is useful. He is saying people have not internalized what continuing on this curve actually means. They nod along and then go back to their day. Then he gave the timeframe. It has been three and a half years since ChatGPT. He said if you run another three and a half years on the same trajectory, what society is capable of is completely different. Not improved. Different. The scariest takes are usually loud. This one was Altman calmly saying the biggest change in human history is already underway, and almost nobody is acting like it. (Watch the full talk on YouTube at Stanford Online channel)
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The CEO of OpenAI was asked for his hottest take. His answer wasn't a prediction about a product. It was that the whole world is sleeping through the most important thing happening to it. A student asked Altman for his spiciest take. He paused. He admitted he could probably find a spicier one with more time. Then he landed somewhere quiet. AI is just going to keep going. That sounds obvious until you hear how he framed it. He said this is not widely believed yet. And if it were actually believed, there would be far more reverberations through society right now than there are. That is the whole point. He is not saying people doubt AI is useful. He is saying people have not internalized what continuing on this curve actually means. They nod along and then go back to their day. Then he gave the timeframe. It has been three and a half years since ChatGPT. He said if you run another three and a half years on the same trajectory, what society is capable of is completely different. Not improved. Different. The scariest takes are usually loud. This one was Altman calmly saying the biggest change in human history is already underway, and almost nobody is acting like it. (Watch the full talk on YouTube at Stanford Online channel)

Ihtesham Ali

15,747 просмотров • 2 месяцев назад

$65B fund CEO: "AI is now doing in hours what finance PhDs used to do in months" He spent 26 minutes at Stanford explaining why even the biggest skeptics are running out of time to ignore this Ken Griffin built Citadel into one of the most successful hedge funds ever couple of months ago he called AI "just a productivity tool", but since then something has changed: > we're already at the stage where AI is replacing not mid-tier jobs but extraordinarily high-skilled ones > in the last few months AI integration at Citadel grew faster than anyone expected > his exact words: the issue with AI is that humans are now the horses any company refusing to adopt AI right now will fall behind competitors who do, that gap is only going to grow the same is true for people, an employee who knows how to use AI will outperform one who doesn't the same way AI-first companies are outperforming everyone else that's exactly why I put together a step-by-step guide on how to set up and use Claude the right way useful whether you've never touched it or you've been using it for a while full guide in the article below
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$65B fund CEO: "AI is now doing in hours what finance PhDs used to do in months" He spent 26 minutes at Stanford explaining why even the biggest skeptics are running out of time to ignore this Ken Griffin built Citadel into one of the most successful hedge funds ever couple of months ago he called AI "just a productivity tool", but since then something has changed: > we're already at the stage where AI is replacing not mid-tier jobs but extraordinarily high-skilled ones > in the last few months AI integration at Citadel grew faster than anyone expected > his exact words: the issue with AI is that humans are now the horses any company refusing to adopt AI right now will fall behind competitors who do, that gap is only going to grow the same is true for people, an employee who knows how to use AI will outperform one who doesn't the same way AI-first companies are outperforming everyone else that's exactly why I put together a step-by-step guide on how to set up and use Claude the right way useful whether you've never touched it or you've been using it for a while full guide in the article below

Anatoli Kopadze

36,172 просмотров • 3 месяцев назад

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.
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Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Karl Mehta

341,287 просмотров • 1 месяц назад

RAY DALIO JUST SAID HE THINKS THE AI BUBBLE IS GOING TO POP On Bloomberg, he laid out exactly when, why, and how he sees it happening. He also compared the current market to two specific years: "We are right now rising closer to, not at, the same level in 2000 and the same level in 1929, a specific level where you say, oh no, here's the one that we really need to worry about." On all tech revolutions: "All great technology changes produce bubbles. And the reason they produce bubbles is because nobody can get it exactly right." On the mechanism that pops bubbles: "There's a bubble, and then there's the pricking of the bubble. The pricking of the bubble happens when there's a need for wealth to be sold to get the money." On the wealth gap that comes with it: "A very small percentage of the population is going to do unbelievably and a lot of people won't." On a political solution: "I'm not optimistic on us working together to solve." He says the technology is real. The prices and the debt are the problem.
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RAY DALIO JUST SAID HE THINKS THE AI BUBBLE IS GOING TO POP On Bloomberg, he laid out exactly when, why, and how he sees it happening. He also compared the current market to two specific years: "We are right now rising closer to, not at, the same level in 2000 and the same level in 1929, a specific level where you say, oh no, here's the one that we really need to worry about." On all tech revolutions: "All great technology changes produce bubbles. And the reason they produce bubbles is because nobody can get it exactly right." On the mechanism that pops bubbles: "There's a bubble, and then there's the pricking of the bubble. The pricking of the bubble happens when there's a need for wealth to be sold to get the money." On the wealth gap that comes with it: "A very small percentage of the population is going to do unbelievably and a lot of people won't." On a political solution: "I'm not optimistic on us working together to solve." He says the technology is real. The prices and the debt are the problem.

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183,702 просмотров • 2 месяцев назад

Jimmy Butler says the Warriors organization is a great organization and he doesn’t want to be anywhere else: “It’s not good, it’s great. It legitimately is the best. You don’t realize it until you’ve been in other places, and I’m not talking down on anybody that are quite lesser than… You’re talking about the way that yall run everything, the people that you have around, obviously the guys that get to rep the uniform. They just do everything the right way, the winning way, and it definitely shows in everything that we do here. I’m grateful to be a part of it now, and when I say I don’t want to be anywhere else, this is it.”
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Jimmy Butler says the Warriors organization is a great organization and he doesn’t want to be anywhere else: “It’s not good, it’s great. It legitimately is the best. You don’t realize it until you’ve been in other places, and I’m not talking down on anybody that are quite lesser than… You’re talking about the way that yall run everything, the people that you have around, obviously the guys that get to rep the uniform. They just do everything the right way, the winning way, and it definitely shows in everything that we do here. I’m grateful to be a part of it now, and when I say I don’t want to be anywhere else, this is it.”

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155,418 просмотров • 2 месяцев назад

Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA
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Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA

Nick Dorsey

40,200 просмотров • 5 месяцев назад

The CEO of OpenAI said something that should terrify every coder alive. Sam Altman was asked: "What is the most important skill people should learn in the age of AI?" His answer was not what anyone expected. He said learning to program, the thing every career advisor has drilled into an entire generation is "no longer obviously the right thing." So what does he think actually matters now? Four things and all of them are soft skills. And none of them taught in any computer science program on Earth.​ Become a high agency, act without being told. Make things happen on your own. Get good at generating ideas because when AI can execute anything, the person who knows what to build wins.​ Be very resilient, things will break constantly in a world moving at this speed.​ Be very adaptable, the world is rewriting itself every few months. Keep up or get left behind. But here is the part that changes everything. Altman says these skills are not just personality traits you are born with. They are learnable and deeply learnable.​ He watched people completely transform in three month bootcamps when he was a startup investor. That was, in his own words, "a big update" to how he sees the world.​ Now think about what this really means. The CEO of a company worth hundreds of billions is telling the world, the moat is no longer what you know. It is how you think and how you move and the old playbook is dead. The people who understand this right now have a massive head start. Everyone else is studying for a test that no longer exists.
1:09

The CEO of OpenAI said something that should terrify every coder alive. Sam Altman was asked: "What is the most important skill people should learn in the age of AI?" His answer was not what anyone expected. He said learning to program, the thing every career advisor has drilled into an entire generation is "no longer obviously the right thing." So what does he think actually matters now? Four things and all of them are soft skills. And none of them taught in any computer science program on Earth.​ Become a high agency, act without being told. Make things happen on your own. Get good at generating ideas because when AI can execute anything, the person who knows what to build wins.​ Be very resilient, things will break constantly in a world moving at this speed.​ Be very adaptable, the world is rewriting itself every few months. Keep up or get left behind. But here is the part that changes everything. Altman says these skills are not just personality traits you are born with. They are learnable and deeply learnable.​ He watched people completely transform in three month bootcamps when he was a startup investor. That was, in his own words, "a big update" to how he sees the world.​ Now think about what this really means. The CEO of a company worth hundreds of billions is telling the world, the moat is no longer what you know. It is how you think and how you move and the old playbook is dead. The people who understand this right now have a massive head start. Everyone else is studying for a test that no longer exists.

StockMarket.News

168,255 просмотров • 5 месяцев назад

Marc Andreessen went on Chris Williamson's podcast and broke down exactly how Elon Musk runs multiple companies at once No other CEO on Earth does this: 1. Every week, Musk shows up at each of his companies, identifies the single biggest problem that company is having that week, and fixes it. Then he does that for 52 weeks in a row. At the end of the year, each company has solved its 52 biggest problems. Meanwhile, most large companies are still having the planning meeting for the pre-planning meeting for the board presentation with the compliance review and the legal review attached. 2. This is not a new operating method. It is actually how the great industrialists of the late 1800s and early 1900s ran their companies. Henry Ford, Andrew Carnegie, Thomas Watson, who built IBM. Total devotion from the leader to fully and deeply understand what the company does, be in the trenches, talk directly to the people doing the work, and be the lead problem solver in the organization. Andreessen says he is not aware of another current CEO who operates this way. 3. The framework Musk uses is the bottleneck. In any manufacturing chain, there is always one thing holding everything up. Sometimes it is raw materials at the start. Sometimes it is warehousing at the end. Sometimes it is in the middle. The job is to find it and remove it. Musk has universalized this concept across every company he runs. In any given week, there is one main bottleneck. He micromanages the solution to that one thing and delegates almost everything else. 4. Musk delegates almost everything. Andreessen is clear about this. He is not involved in most of what his companies are doing. He is involved in the one thing that is the biggest problem right now. Once that is fixed, he moves to the next biggest problem. Everything else by definition, is running better than the bottleneck, so it does not need him. 5. When Musk identifies the bottleneck, he goes directly to the engineer who actually understands it. not the VP of engineering, not the director, not the manager. The individual contributor who has the actual technical knowledge. He sits in the room with that person and fixes the problem alongside them. He does not ask for a report to be reviewed in three weeks. he shows up at the keyboard or on the manufacturing line and works through it overnight if necessary. 6. This is why technical people who work for Musk say it was the best experience of their lives. Andreessen's framing: if you are stuck on a problem you cannot solve, Elon Musk is going to show up in his Gulfstream, sit with you in front of the keyboard, and help you figure it out. For an engineer who genuinely cares about the work, that is an almost incomprehensible level of support from the CEO of the company. 7. Business school teaches the opposite of this: management as a generic skill applicable to any industry. Soup company or a rocket company, the management principles are the same. process, balance sheet, meeting schedules, compliance, executive motivation, interpersonal conflict resolution. Andreessen says those skills are useful in many contexts. They just give you nothing; you need to do what Musk does. And Musk pushes as far as he can away from all of that so he can spend all of his time doing the things only he can do.
5:40

Marc Andreessen went on Chris Williamson's podcast and broke down exactly how Elon Musk runs multiple companies at once No other CEO on Earth does this: 1. Every week, Musk shows up at each of his companies, identifies the single biggest problem that company is having that week, and fixes it. Then he does that for 52 weeks in a row. At the end of the year, each company has solved its 52 biggest problems. Meanwhile, most large companies are still having the planning meeting for the pre-planning meeting for the board presentation with the compliance review and the legal review attached. 2. This is not a new operating method. It is actually how the great industrialists of the late 1800s and early 1900s ran their companies. Henry Ford, Andrew Carnegie, Thomas Watson, who built IBM. Total devotion from the leader to fully and deeply understand what the company does, be in the trenches, talk directly to the people doing the work, and be the lead problem solver in the organization. Andreessen says he is not aware of another current CEO who operates this way. 3. The framework Musk uses is the bottleneck. In any manufacturing chain, there is always one thing holding everything up. Sometimes it is raw materials at the start. Sometimes it is warehousing at the end. Sometimes it is in the middle. The job is to find it and remove it. Musk has universalized this concept across every company he runs. In any given week, there is one main bottleneck. He micromanages the solution to that one thing and delegates almost everything else. 4. Musk delegates almost everything. Andreessen is clear about this. He is not involved in most of what his companies are doing. He is involved in the one thing that is the biggest problem right now. Once that is fixed, he moves to the next biggest problem. Everything else by definition, is running better than the bottleneck, so it does not need him. 5. When Musk identifies the bottleneck, he goes directly to the engineer who actually understands it. not the VP of engineering, not the director, not the manager. The individual contributor who has the actual technical knowledge. He sits in the room with that person and fixes the problem alongside them. He does not ask for a report to be reviewed in three weeks. he shows up at the keyboard or on the manufacturing line and works through it overnight if necessary. 6. This is why technical people who work for Musk say it was the best experience of their lives. Andreessen's framing: if you are stuck on a problem you cannot solve, Elon Musk is going to show up in his Gulfstream, sit with you in front of the keyboard, and help you figure it out. For an engineer who genuinely cares about the work, that is an almost incomprehensible level of support from the CEO of the company. 7. Business school teaches the opposite of this: management as a generic skill applicable to any industry. Soup company or a rocket company, the management principles are the same. process, balance sheet, meeting schedules, compliance, executive motivation, interpersonal conflict resolution. Andreessen says those skills are useful in many contexts. They just give you nothing; you need to do what Musk does. And Musk pushes as far as he can away from all of that so he can spend all of his time doing the things only he can do.

Jaynit

271,890 просмотров • 2 месяцев назад

🚨 Anthropic CEO Dario Amodei just said the thing most people aren't ready to hear: "AI revenue could hit a trillion dollars before 2030" Read that again. A trillion. Before 2030. And here is the part everyone misses We are not late. We are early. Painfully early. The "country of geniuses in a datacenter" he describes has not even shown up yet. Look at Anthropic itself. Revenue grew roughly 10x every year. 2023: $0 to $100M 2024: $100M to $1B 2025: $1B to $10B That is not one lucky company. That is the signal for everyone. So the real question is not "did I miss it" It is whether you learn this now while it is free, or pay $5,000 for it in 2027 The best move is simple. Understand AI and start using it for real work. This year, not someday. Bookmark this and read my breakdown of 23 free courses from Anthropic, Google and OpenAI below What is the first thing you would automate if you knew how?
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🚨 Anthropic CEO Dario Amodei just said the thing most people aren't ready to hear: "AI revenue could hit a trillion dollars before 2030" Read that again. A trillion. Before 2030. And here is the part everyone misses We are not late. We are early. Painfully early. The "country of geniuses in a datacenter" he describes has not even shown up yet. Look at Anthropic itself. Revenue grew roughly 10x every year. 2023: $0 to $100M 2024: $100M to $1B 2025: $1B to $10B That is not one lucky company. That is the signal for everyone. So the real question is not "did I miss it" It is whether you learn this now while it is free, or pay $5,000 for it in 2027 The best move is simple. Understand AI and start using it for real work. This year, not someday. Bookmark this and read my breakdown of 23 free courses from Anthropic, Google and OpenAI below What is the first thing you would automate if you knew how?

spect

14,410 просмотров • 2 месяцев назад

What Beatriz Villarroel said to Jesse Michels is exactly right. This is important. There has never been a proper scientific investigation of the object in the Baltic Sea. That is a fact. That is why we started in 2025, and that is why we will continue in 2026. We are not rushing this. We are doing it step by step, the way real research is supposed to be done. And let me be clear about one thing. If this turns out to be a natural formation, that is still valuable knowledge. But if it is constructed, then we are talking about something extraordinary. That would be a discovery of major significance. Either way, the only responsible path forward is science. Real data. Careful measurements. Proper documentation. If something unexplained is resting on the seabed, you investigate it properly. That is exactly what we are doing. #BalticSeaAnomaly #BalticSea #ScientificResearch #OceanExploration #MarineScience #UnderwaterDiscovery #UAPResearch #AnomalyInvestigation #OceanX #BeatriceVillaroel #DataFirst #Exploration #ScienceMatters
1:27

What Beatriz Villarroel said to Jesse Michels is exactly right. This is important. There has never been a proper scientific investigation of the object in the Baltic Sea. That is a fact. That is why we started in 2025, and that is why we will continue in 2026. We are not rushing this. We are doing it step by step, the way real research is supposed to be done. And let me be clear about one thing. If this turns out to be a natural formation, that is still valuable knowledge. But if it is constructed, then we are talking about something extraordinary. That would be a discovery of major significance. Either way, the only responsible path forward is science. Real data. Careful measurements. Proper documentation. If something unexplained is resting on the seabed, you investigate it properly. That is exactly what we are doing. #BalticSeaAnomaly #BalticSea #ScientificResearch #OceanExploration #MarineScience #UnderwaterDiscovery #UAPResearch #AnomalyInvestigation #OceanX #BeatriceVillaroel #DataFirst #Exploration #ScienceMatters

Dennis Asberg

22,275 просмотров • 6 месяцев назад

This Sam Altman story is chilling. He says the current AI moment feels like the final night before the world realized COVID would change everything. A few people saw what was coming. Everyone else kept partying. That is exactly what AI feels like now. We are not waiting for the disruption. We are living in the last moments before everyone notices it.
1:57

This Sam Altman story is chilling. He says the current AI moment feels like the final night before the world realized COVID would change everything. A few people saw what was coming. Everyone else kept partying. That is exactly what AI feels like now. We are not waiting for the disruption. We are living in the last moments before everyone notices it.

VraserX e/acc

82,207 просмотров • 4 месяцев назад

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people
4:19

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Anatoli Kopadze

41,578 просмотров • 2 дней назад

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people
4:19

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Anatoli Kopadze

1,214,343 просмотров • 2 месяцев назад

CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below
41:34

CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below

Anatoli Kopadze

14,741 просмотров • 2 месяцев назад

A British citizen went to the grocery store in London and witnessed someone defecating on the floor right behind him. What shocked him most wasn’t the act itself, it was that he was the only one shocked. Everyone else acted like it was completely normal. This is what parts of London have become. How did they get here?
0:44

A British citizen went to the grocery store in London and witnessed someone defecating on the floor right behind him. What shocked him most wasn’t the act itself, it was that he was the only one shocked. Everyone else acted like it was completely normal. This is what parts of London have become. How did they get here?

Yossi BenYakar

16,200 просмотров • 2 месяцев назад

Andrej Karpathy: "Prompting is fading away. Delete everything else and keep the graph." in 68 minutes at Stanford he explains how to build one and why it is the layer everything ends up becoming LLMs → Prompts → Agents → Graphs everything before the graph is a step the graph is where the system stops being steps most people are still perfecting the thing that goes away first same model, same tokens, and the only thing that changes is the shape you run it in watch it today, then save the full graph engineering guide below
1:08:00

Andrej Karpathy: "Prompting is fading away. Delete everything else and keep the graph." in 68 minutes at Stanford he explains how to build one and why it is the layer everything ends up becoming LLMs → Prompts → Agents → Graphs everything before the graph is a step the graph is where the system stops being steps most people are still perfecting the thing that goes away first same model, same tokens, and the only thing that changes is the shape you run it in watch it today, then save the full graph engineering guide below

Hanako

127,643 просмотров • 6 дней назад