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Sam Altman just admitted AI will make most humans economically useless. Nobody's talking about this. A single AI company could soon control more wealth than entire governments. The same AI giving them that power is also letting a 2-person startup beat a 500-person company. The weapon is available to...

190,831 views • 6 months ago •via X (Twitter)

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Mark Cuban just told every software company on Earth they’re already dead. The people inside them are still building roadmaps. Cuban: “Software is dead because everything’s going to be customized to your unique utilization.” Every SaaS company was built on one bet. Software stays rigid. Humans stay adaptable. You learn the tool. You bend to it. You pay for someone else’s version of your solution. AI just inverted that. The tool bends to you or it dies. Cuban: “33 million companies aren’t going to have AI budgets, aren’t going to have AI experts.” 33 million businesses feel something shifting beneath them. None can name it. The distance between what AI can do and what small companies can access is the most mispriced gap in markets today. Not a technology problem. A translation problem. Cuban: “Learn all you can about AI but learn more on how to implement them in companies.” Everyone is racing to build intelligence. Almost nobody is racing to deploy it where the pain is deepest. The person who walks into a 40-person company and rewires their entire operation captures more value than the team that trained the model. Understanding pain is now worth more than building intelligence. Cuban: “Every single job available for kids coming out of school because every single company needs that.” The most important career of the next decade has no title. No degree path. No university knows it needs to exist yet. It belongs to whoever learns two languages fluently. The language of a business that can’t articulate what’s breaking. And the language of an AI that doesn’t know where to aim. 33 million companies. Zero translators. Whoever arrives first doesn’t enter a market. They create one.

Dustin

473,525 views • 1 month ago

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 views • 3 months ago

Q: Why is it easier to start a hard company than an easy company? In the clip below, Sam Altman tells the class at Stanford: “It’s easier to start a hard company than an easy company. Most people—especially young people—want to pick something that doesn’t sound too ambitious. They say to themselves: ‘starting a company sounds really hard. I better pick the easiest possible company.’” But as Sam explains: “Starting a company is always hard and it’s about equally hard no matter what you do. If you start a hard company though and you inspire passionate people—for example, if you are working on general AI or supersonic airplanes or nuclear power—you’ll find a lot more people who are excited about that than another derivative idea.” He elaborates on this idea even further in a blog post from four years ago: “The most precious commodity in the startup ecosystem right now is talented people, and for the most part talented people want to work on something they find meaningful… An easy startup is a headwind; a hard startup is a tailwind. If people care about your success because you seem committed to doing something significant, it’s a background force helping you with hiring, advice, partnerships, fundraising, etc.” He continues: “Let yourself become more ambitious—figure out the most interesting version of where what you’re working on could go. Then talk about that big vision and work relentlessly towards it, but always have a reasonable next step. You don’t want step one to be incorporating the company and step two to be going to Mars. Be willing to make a very long-term commitment to what you’re doing. Most people aren’t, which is part of the reason they pick ‘easy’ startups. In a world of compounding advantages where most people are operating on a 3 year timeframe and you’re operating on a 10 year timeframe, you’ll have a very large edge.”

Michael McGuiness

504,007 views • 2 years ago