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🚨🇺🇸 AI IS THE CHEAT CODE FOR CREATORS STARTING FROM NOTHING In a world where starting from scratch feels harder than ever, Kevin O’Leary says AI has quietly opened the most explosive opportunities in content and marketing. He points to a shift inside enterprise: massive budgets flowing into AI-driven... show more

Mario Nawfal

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26,637 görüntüleme • 6 ay önce •via X (Twitter)

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🚨🇺🇸 AI CAN GENERATE CONTENT, BUT NOT CREDIBILITY As AI reshapes how people get information, Kevin O’Leary says personal brand isn’t about being liked. It’s about being trusted. The FTX collapse showed him that when things fall apart, the only thing that holds is honesty. In a world of real-time content and constant verification, credibility matters more than ever. Kevin's advice is simple: You don’t need everyone to like you, you need people to respect you. Full interview below Kevin O'Leary aka Mr. Wonderful

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🇺🇸 THE AI AGE HAS MADE ENERGY THE FOUNDATION OF EVERYTHING With the AI age still in its gold rush era, Kevin O'Leary suggested it's wise to hedge your bets against an increasingly complicated world of traditional investing by focusing on the winners in the world of AI and the energy expansion on which they're founded. He believes the need for cheap energy will produce new economic hubs that will favor those who spot the opportunity now. Full interview below Kevin O'Leary aka Mr. Wonderful

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🇺🇸 CHEAP ENERGY INFRASTRUCTURE IS THE BEST INVESTMENT IN THE AI AGE Kevin O'Leary has no doubt that the safest investments currently come in the form of owning power-related resources wherever energy can be processed most cheaply. He even cut everything but Bitcoin and Ether from his crypto portfolio, arguing that investing in the scaling of power is a better bet than virtually every cryptocurrency. Full debate with Kevin O'Leary aka Mr. Wonderful below

🇺🇸 CHEAP ENERGY INFRASTRUCTURE IS THE BEST INVESTMENT IN THE AI AGE Kevin O'Leary has no doubt that the safest investments currently come in the form of owning power-related resources wherever energy can be processed most cheaply. He even cut everything but Bitcoin and Ether from his crypto portfolio, arguing that investing in the scaling of power is a better bet than virtually every cryptocurrency. Full debate with Kevin O'Leary aka Mr. Wonderful below

Mario Nawfal

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🇺🇸🇨🇳 KEVIN O’LEARY: CHINA IS BEATING THE U.S. IN THE AI RACE - U.S. IS TOO SLOW TO COMPETE WITH CHINA Kevin O’Leary just sounded the alarm: China is running laps around the U.S. in artificial intelligence, and it’s not because they’re smarter, it’s because they move faster. While America spends 7 years stuck in permits to build anything, China builds massive AI data centers in 11 months because the government just says “do it” and it happens. He says China knows AI = power. “They are kicking our high knees in advancing AI. They basically say, let’s put down a 1.4 gig facility right here. Build it in the next 11 months. We got to go through 7 years of permitting in North America. The U.S. is stuck dragging its feet while China stacks chips, data, and control of the future. They're going to use it for economic dominance and military dominance.” Source: Kevin O'Leary aka Mr. Wonderful One Nation with Brian Kilmeade Fox News

🇺🇸🇨🇳 KEVIN O’LEARY: CHINA IS BEATING THE U.S. IN THE AI RACE - U.S. IS TOO SLOW TO COMPETE WITH CHINA Kevin O’Leary just sounded the alarm: China is running laps around the U.S. in artificial intelligence, and it’s not because they’re smarter, it’s because they move faster. While America spends 7 years stuck in permits to build anything, China builds massive AI data centers in 11 months because the government just says “do it” and it happens. He says China knows AI = power. “They are kicking our high knees in advancing AI. They basically say, let’s put down a 1.4 gig facility right here. Build it in the next 11 months. We got to go through 7 years of permitting in North America. The U.S. is stuck dragging its feet while China stacks chips, data, and control of the future. They're going to use it for economic dominance and military dominance.” Source: Kevin O'Leary aka Mr. Wonderful One Nation with Brian Kilmeade Fox News

Mario Nawfal

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What a time to be Albertan! At $70 billion this proposed data centre mega project is set to be the largest investment in Alberta’s history and the largest investment of its kind in the world. The jobs, economic diversification and wealth generated will benefit Albertans for generations. Excited to see this incredible project led by Kevin O’Leary Kevin O'Leary aka Mr. Wonderful coming to Wonder Valley, located in the Municipal District of Greenview. With Alberta’s low taxes, free market, abundant natural gas and skilled labour force, we’re positioned to be a world leader in AI data centres. Read the full release:

What a time to be Albertan! At $70 billion this proposed data centre mega project is set to be the largest investment in Alberta’s history and the largest investment of its kind in the world. The jobs, economic diversification and wealth generated will benefit Albertans for generations. Excited to see this incredible project led by Kevin O’Leary Kevin O'Leary aka Mr. Wonderful coming to Wonder Valley, located in the Municipal District of Greenview. With Alberta’s low taxes, free market, abundant natural gas and skilled labour force, we’re positioned to be a world leader in AI data centres. Read the full release:

Danielle Smith

330,845 görüntüleme • 1 yıl önce

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

Tony Robbins

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Mark Zuckerberg says the future of coding is closer than we think: AI agents inside Meta are being built not as generic developer tools, but to push Llama research forward — fully integrated into their workflow. He predicts that within 12–18 months, most of the code for these efforts could be written by AI itself — not simple autocomplete, but systems that take goals, run tests, fix bugs, improve performance, and even write higher-quality code than many skilled engineers. The real takeaway? This is only one part of a massive AI landscape, and no single company will dominate it all. Meta is building its own internal agents designed specifically to advance Llama research — deeply connected to their toolchain rather than built for enterprise customers. He expects that within the next year to year-and-a-half, AI will be writing most of the code in these projects, going far beyond autocomplete — understanding goals, running experiments, finding issues, and continuously improving systems. And according to him, this shift will become a core driver of how AI itself evolves. Meta is investing heavily in coding and research agents deeply integrated into their own systems, focused on advancing Llama rather than building broad enterprise tools. He expects AI will soon move beyond autocomplete to fully goal-driven coding — testing, debugging, improving, and producing high-quality results. But in his view, the AI revolution is too big for any single winner — multiple players and approaches will shape the future.

Mark Zuckerberg says the future of coding is closer than we think: AI agents inside Meta are being built not as generic developer tools, but to push Llama research forward — fully integrated into their workflow. He predicts that within 12–18 months, most of the code for these efforts could be written by AI itself — not simple autocomplete, but systems that take goals, run tests, fix bugs, improve performance, and even write higher-quality code than many skilled engineers. The real takeaway? This is only one part of a massive AI landscape, and no single company will dominate it all. Meta is building its own internal agents designed specifically to advance Llama research — deeply connected to their toolchain rather than built for enterprise customers. He expects that within the next year to year-and-a-half, AI will be writing most of the code in these projects, going far beyond autocomplete — understanding goals, running experiments, finding issues, and continuously improving systems. And according to him, this shift will become a core driver of how AI itself evolves. Meta is investing heavily in coding and research agents deeply integrated into their own systems, focused on advancing Llama rather than building broad enterprise tools. He expects AI will soon move beyond autocomplete to fully goal-driven coding — testing, debugging, improving, and producing high-quality results. But in his view, the AI revolution is too big for any single winner — multiple players and approaches will shape the future.

Ian Miles Cheong

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We're throwing our biggest night ever in San Francisco, the Super Bowl moment for Creative AI builders. This is where creators, filmmakers, designers, and founders who are actually shaping AI will come together in one room. Expect bold demos, sharp conversations, and a room full of people you will want to know a year from now. We’re partnering with Runware to make this night happen, with support from the Creative AI community, including The AI Collective, Founder Social Club, Cliqk, and Design Buddies Community 🐰. February 13th | San Francisco. Space is limited. RSVP below

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ImagineArt

102,440 görüntüleme • 5 ay önce

🇺🇸 AI IS GETTING HARDER TO SPOT Rizwan Virk says we’re already at the point where AI can pass the classic Turing Test in text, so most people can’t tell if they’re talking to a human or a machine anymore. And the next step is virtual worlds, where AI characters (NPCs) could become so smart you won’t know if they’re controlled by a person or not. We’re not at rogue robots yet, but smarter AI inside games and simulations is coming first, and fast. Once AI blends in seamlessly, the line between tool, character, and independent actor starts getting very blurry. Full Interview with Rizwan Virk below.

🇺🇸 AI IS GETTING HARDER TO SPOT Rizwan Virk says we’re already at the point where AI can pass the classic Turing Test in text, so most people can’t tell if they’re talking to a human or a machine anymore. And the next step is virtual worlds, where AI characters (NPCs) could become so smart you won’t know if they’re controlled by a person or not. We’re not at rogue robots yet, but smarter AI inside games and simulations is coming first, and fast. Once AI blends in seamlessly, the line between tool, character, and independent actor starts getting very blurry. Full Interview with Rizwan Virk below.

Mario Nawfal

17,457 görüntüleme • 6 ay önce

Software may be starting to show early signs of life but I still think the “hard” side of AI has the cleaner lane for 2026 and probably most of 2027. We're nowhere close to done with the physical AI buildout since compute demand is still ahead of supply, power is becoming the bottleneck and every layer of AI infrastructure still needs more capacity. I own some software names but I still see this as more of an oversold bounce than a true leadership rotation away from the companies building the AI infrastructure layer. Software probably becomes a cleaner leadership group once inference costs fall, enterprise AI budgets expand and AI features start flowing through margins but that still feels more like a 2027 story to me.

Software may be starting to show early signs of life but I still think the “hard” side of AI has the cleaner lane for 2026 and probably most of 2027. We're nowhere close to done with the physical AI buildout since compute demand is still ahead of supply, power is becoming the bottleneck and every layer of AI infrastructure still needs more capacity. I own some software names but I still see this as more of an oversold bounce than a true leadership rotation away from the companies building the AI infrastructure layer. Software probably becomes a cleaner leadership group once inference costs fall, enterprise AI budgets expand and AI features start flowing through margins but that still feels more like a 2027 story to me.

Shay Boloor

122,716 görüntüleme • 2 ay önce

Jensen Huang just said the most dangerous thing about AI that no one is sitting with. Huang: “AI basically does most of our coding. And yet we’re hiring more engineers than ever. We have more challenges than ever. We have bigger dreams than ever.” Every engineer at NVIDIA uses AI. AI writes most of their code. This is the company building the infrastructure behind every major AI system on Earth. Closer to this technology than any organization alive. They’re hiring more people. Not fewer. Every conversation about AI is built around subtraction. Fewer jobs. Fewer workers. Fewer humans in the loop. Jensen just told you the opposite is true. Huang: “Suppose we infused AI into this country, and as a result of that, we are doing things faster than ever before. Our ambition is greater than ever before. Our expectations are greater than ever before. How is that a bad condition for our country?” He’s not defending AI. He’s describing what happens inside the organizations that actually use it. It doesn’t make them leaner. It makes them hungrier. More ambition. More speed. More appetite for problems no one would have touched five years ago. The car didn’t make humans travel less. The internet didn’t make humans communicate less. No tool in human history has ever made humans want less. AI will not be the exception. Huang: “Prior to that, it’s been incredible but not useful. Now it’s useful and incredible.” Six months. That’s how fast AI crossed from impressive demo to daily weapon. The companies that adopted it didn’t shrink. They expanded. Compressed timelines. Started chasing problems they never would have attempted. The companies that ignored it stayed exactly where they were. That gap compounds. Every day a company uses AI to move faster, it learns something the one standing still never will. That knowledge stacks. That speed stacks. That ambition stacks. Jensen isn’t warning about a future where machines take your job. He’s describing a present where the companies using AI are becoming so fast and so hungry that standing still is already fatal. By the time you notice, it’s over. You were never going to be replaced by AI. You were going to be erased by someone it made hungrier than you.

Jensen Huang just said the most dangerous thing about AI that no one is sitting with. Huang: “AI basically does most of our coding. And yet we’re hiring more engineers than ever. We have more challenges than ever. We have bigger dreams than ever.” Every engineer at NVIDIA uses AI. AI writes most of their code. This is the company building the infrastructure behind every major AI system on Earth. Closer to this technology than any organization alive. They’re hiring more people. Not fewer. Every conversation about AI is built around subtraction. Fewer jobs. Fewer workers. Fewer humans in the loop. Jensen just told you the opposite is true. Huang: “Suppose we infused AI into this country, and as a result of that, we are doing things faster than ever before. Our ambition is greater than ever before. Our expectations are greater than ever before. How is that a bad condition for our country?” He’s not defending AI. He’s describing what happens inside the organizations that actually use it. It doesn’t make them leaner. It makes them hungrier. More ambition. More speed. More appetite for problems no one would have touched five years ago. The car didn’t make humans travel less. The internet didn’t make humans communicate less. No tool in human history has ever made humans want less. AI will not be the exception. Huang: “Prior to that, it’s been incredible but not useful. Now it’s useful and incredible.” Six months. That’s how fast AI crossed from impressive demo to daily weapon. The companies that adopted it didn’t shrink. They expanded. Compressed timelines. Started chasing problems they never would have attempted. The companies that ignored it stayed exactly where they were. That gap compounds. Every day a company uses AI to move faster, it learns something the one standing still never will. That knowledge stacks. That speed stacks. That ambition stacks. Jensen isn’t warning about a future where machines take your job. He’s describing a present where the companies using AI are becoming so fast and so hungry that standing still is already fatal. By the time you notice, it’s over. You were never going to be replaced by AI. You were going to be erased by someone it made hungrier than you.

Dustin

12,200 görüntüleme • 3 ay önce

The new platform beta is live & creators are going to love it🚨 Searchpad offers a ton of powerful tools to help creators gain an edge. It’s currently in beta, But I’ve already turned a script into a video using their tools, and I’m impressed with the results and Really Smooth EXPLORE SEARCHPAD PRODUCTS👀 » AI-Powered Content Creation » AI Videos » AI Shorts » AI Images » AI Avatar You can check out the video I created from my script using Searchpad & Give it a try if you’re looking to level up your content👏

Rohail

23,815 görüntüleme • 1 yıl önce

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

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

Rohan Paul

16,584 görüntüleme • 2 ay önce

Elon Musk: Despite starting from scratch six months ago, Grok Imagine now generates more videos and images than everyone else combined. “My prediction is that most of AI compute is going to be real-time video understanding and real-time video generation. And we expect to be the leaders in that. It's worth emphasizing these points that six months ago we had basically nothing, very weak in video and image generation and editing and went in six months to the number one spot and in fact generating more videos and images than everyone else combined. We're going to do the same thing with coding and we're going to do the same thing with Macrohard and. I think people will be pretty impressed with the Grok 4.2 model that's coming out. It's a significant improvement. That's the small version of our new model. So we'll have a medium and a large version that are even more intelligent.” From: xAI All-Hands, February 10, 2026

Elon Musk: Despite starting from scratch six months ago, Grok Imagine now generates more videos and images than everyone else combined. “My prediction is that most of AI compute is going to be real-time video understanding and real-time video generation. And we expect to be the leaders in that. It's worth emphasizing these points that six months ago we had basically nothing, very weak in video and image generation and editing and went in six months to the number one spot and in fact generating more videos and images than everyone else combined. We're going to do the same thing with coding and we're going to do the same thing with Macrohard and. I think people will be pretty impressed with the Grok 4.2 model that's coming out. It's a significant improvement. That's the small version of our new model. So we'll have a medium and a large version that are even more intelligent.” From: xAI All-Hands, February 10, 2026

ELON CLIPS

12,007 görüntüleme • 5 ay önce

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Rohan Paul

439,874 görüntüleme • 12 gün önce

Marc Andreessen just coined a term that perfectly describes what's actually happening to programmers right now and it's the opposite of what the doomers predicted (Save this). He calls them AI vampires. Andreessen's says that programmers using Codex, Claude Code and AI coding tools are not being replaced but they're working harder than ever, sleeping less than ever, with massive bags under their eyes and they are completely euphoric. What's remarkable is that the phenomenon extends far beyond professional engineers. Andreessen described an a16z partner who had never written a single line of code in his career, who built an entire AI powered work system for himself and when asked if he'd ever looked at the underlying code, the answer was simply "hell no." The data behind the anecdote is extraordinary. Andreessen says the leading-edge programmers at a16z portfolio companies are now 20x more productive than they were a year ago, the most dramatic increase in programmer productivity in the history of the industry. The METR May 2026 AI usage survey found technical workers self reporting a 1.4–2x change in work value from AI tools, with 75% of software engineers using AI for at least half their work. The software engineer hiring rate is actually increasing up to 22.77% of new hires in 2025 from 19.32% in late 2023 and companies are now bidding more aggressively for senior engineers specifically because AI empowered engineers have a higher ROI than ever before. The US economy added 115,000 jobs in April 2026 alone, beating the 62,000 consensus forecast precisely as AI adoption hit its highest level on record. This is exactly what basic economics predicts and what almost no one who writes about AI and jobs bothers to say. Classic marginal productivity theory says: when you increase the productivity of a worker, you don't diminish human work, you expand it. The worker becomes more productive, gets paid more, does more, and more jobs are created in the process. Andreessen's ATM analogy holds here because ATMs were supposed to eliminate bank tellers but instead, teller employment rose because lower operating costs let banks open more branches. The no-code AI market has exploded from $4.3 billion in 2023 to $21.2 billion in 2026 not because programmers are being replaced, but because the universe of people who can now build software has expanded by orders of magnitude. The blind spot, as Andreessen notes, is that productivity is now outrunning comprehension. The a16z partner building AI systems he's never looked at the code for represents something genuinely new, software being summoned faster than it can be understood. That's not necessarily dangerous but it does mean the verification, security, and governance layer of the AI development stack is more important now than it has ever been.

Marc Andreessen just coined a term that perfectly describes what's actually happening to programmers right now and it's the opposite of what the doomers predicted (Save this). He calls them AI vampires. Andreessen's says that programmers using Codex, Claude Code and AI coding tools are not being replaced but they're working harder than ever, sleeping less than ever, with massive bags under their eyes and they are completely euphoric. What's remarkable is that the phenomenon extends far beyond professional engineers. Andreessen described an a16z partner who had never written a single line of code in his career, who built an entire AI powered work system for himself and when asked if he'd ever looked at the underlying code, the answer was simply "hell no." The data behind the anecdote is extraordinary. Andreessen says the leading-edge programmers at a16z portfolio companies are now 20x more productive than they were a year ago, the most dramatic increase in programmer productivity in the history of the industry. The METR May 2026 AI usage survey found technical workers self reporting a 1.4–2x change in work value from AI tools, with 75% of software engineers using AI for at least half their work. The software engineer hiring rate is actually increasing up to 22.77% of new hires in 2025 from 19.32% in late 2023 and companies are now bidding more aggressively for senior engineers specifically because AI empowered engineers have a higher ROI than ever before. The US economy added 115,000 jobs in April 2026 alone, beating the 62,000 consensus forecast precisely as AI adoption hit its highest level on record. This is exactly what basic economics predicts and what almost no one who writes about AI and jobs bothers to say. Classic marginal productivity theory says: when you increase the productivity of a worker, you don't diminish human work, you expand it. The worker becomes more productive, gets paid more, does more, and more jobs are created in the process. Andreessen's ATM analogy holds here because ATMs were supposed to eliminate bank tellers but instead, teller employment rose because lower operating costs let banks open more branches. The no-code AI market has exploded from $4.3 billion in 2023 to $21.2 billion in 2026 not because programmers are being replaced, but because the universe of people who can now build software has expanded by orders of magnitude. The blind spot, as Andreessen notes, is that productivity is now outrunning comprehension. The a16z partner building AI systems he's never looked at the code for represents something genuinely new, software being summoned faster than it can be understood. That's not necessarily dangerous but it does mean the verification, security, and governance layer of the AI development stack is more important now than it has ever been.

Milk Road AI

169,953 görüntüleme • 2 ay önce

AI STARTUPS ARE WRITING CODE FASTER THAN HUMANS AND RAISING BILLIONS WHILE THEY’RE AT IT AI now writes code for apps, games, and websites faster and cheaper than people. Cursor raised $900 million at a $10 billion valuation. Windsurf may sell to OpenAI for $3 billion. Their tools turn plain English into working code. Google says over 30 percent of its code is AI-written. Amazon saved 4,500 developer-years. Microsoft said 30 percent of its code is AI-made and laid off 6,000 workers. Despite high revenue, these startups are losing money. Cursor makes $100 million but spends more. Windsurf earns $50 million and is also in the red due to steep AI model costs. To cut expenses, Poolside raised $600 million to build its own AI. Magic Dev raised $500 million but has yet to launch a product. Everyone is racing to dominate before Big Tech does. Entry-level coding jobs are disappearing. The machines are not coming. They are already here. Source: Reuters

AI STARTUPS ARE WRITING CODE FASTER THAN HUMANS AND RAISING BILLIONS WHILE THEY’RE AT IT AI now writes code for apps, games, and websites faster and cheaper than people. Cursor raised $900 million at a $10 billion valuation. Windsurf may sell to OpenAI for $3 billion. Their tools turn plain English into working code. Google says over 30 percent of its code is AI-written. Amazon saved 4,500 developer-years. Microsoft said 30 percent of its code is AI-made and laid off 6,000 workers. Despite high revenue, these startups are losing money. Cursor makes $100 million but spends more. Windsurf earns $50 million and is also in the red due to steep AI model costs. To cut expenses, Poolside raised $600 million to build its own AI. Magic Dev raised $500 million but has yet to launch a product. Everyone is racing to dominate before Big Tech does. Entry-level coding jobs are disappearing. The machines are not coming. They are already here. Source: Reuters

Mario Nawfal

118,552 görüntüleme • 1 yıl önce

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.

winkle.

57,919 görüntüleme • 2 ay önce