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AI ISN’T COMING FOR YOUR JOB - IT'S ALREADY TAKING IT Remember when experts said automation would be gradual? Since 2021 Amazon has swapped out 100,000 workers for 750,000 robots. Trucking? There are 3.6M drivers in the U.S, but AI semis are already rolling. “2030” is the official doomsday,... but the robots don’t read calendars. Hospitals now use AI to detect cancer faster than doctors. It doesn’t need malpractice insurance. And grocery stores? They’re building “dark stores” where robots shop in secret. No humans. No lines. Just cold, efficient capitalism. Still think your job’s safe? Good luck competing with a machine that doesn’t need health insurance or coffee breaks. Source: Jakevsthestateshow more

Mario Nawfal

3,667,176 subscribers

202,638 views • 1 year ago •via X (Twitter)

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10 Comments

Lazarus G ☦️ 🇦🇺🔻🧯1 year ago

They will need to introduce global income like Musk said some time ago

🇺🇸 Ryan 🇺🇸1 year ago

You have been replaced.

Kekaius1 year ago

@MarioNawfal Machines may take jobs, but they cannot seize honor or justice. True value lies in human virtue, not automation. Fiat justitia ruat caelum. Price Prediction: Mars kek.

Wisdom ✦1 year ago

Lmao what if i don't have a job 😭😂

MATK!NG`$™ ∞ TΛNSSI👑 ♣️1 year ago

The future isn’t knocking, it’s already inside the house.

TacticzHazel - Value Investing1 year ago

All good, more time to go to the beach and read a book. 😃

RMD Venture Capital _̴̡̧̧̢̧̭̺̣͖̬̲̹̬̭̰̘̫͎̹͓̹̮͔̩̦̫̮̰1 year ago

Indeed, @MarioNawfal, the rapid integration of AI into various sectors is reshaping the workforce landscape at an unprecedented pace.

pavelin🇭🇷1 year ago

Automation is advancing quickly

DontCare760😎1 year ago

When Optimus comes out it’s coming for cheeks as well 🤣

Andy froemel1 year ago

Robots are taking many jobs. The future isn’t far off, it is now.

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THE ROBOTS AREN’T COMING... THEY’RE HERE Amazon? Flexing with 750,000 robots that outpace humans every time. In China, robots are pumping gas. In kitchens, robot chefs are cooking meals from 5 million recipes like it's nothing. Meanwhile, Boston Dynamics built camera bots that do backflips and shoot movies better than pros with 20 years of experience; they even climb power poles: no electrocution, no breaks, no health insurance. These bots aren’t test dummies; they’re clocked in right now while real people get shown the exit. From delivery drivers to dinner chefs, the machines are out here doing it better, cheaper, and without ever asking for a raise. Source: Meet Ami

THE ROBOTS AREN’T COMING... THEY’RE HERE Amazon? Flexing with 750,000 robots that outpace humans every time. In China, robots are pumping gas. In kitchens, robot chefs are cooking meals from 5 million recipes like it's nothing. Meanwhile, Boston Dynamics built camera bots that do backflips and shoot movies better than pros with 20 years of experience; they even climb power poles: no electrocution, no breaks, no health insurance. These bots aren’t test dummies; they’re clocked in right now while real people get shown the exit. From delivery drivers to dinner chefs, the machines are out here doing it better, cheaper, and without ever asking for a raise. Source: Meet Ami

Mario Nawfal

54,178 views • 1 year ago

🚨 THEY’RE GIVING AI ROBOTS CITIZENSHIP — AND THE UBER CO-FOUNDER JUST SAID THE QUIET PART OUT LOUD The Uber co-founder just admitted what a lot of billionaires are thinking. At some point robots will have their own bank accounts and full citizenship. We’re not there yet, but it’s coming. Until then every robot is still owned by someone, and that someone gets paid based on the value the robot creates. He went further: humans will stay valuable for a while because we’re the bottleneck to progress. Plumbers especially will be “crushing it.” But once super AGI arrives, that changes. His solution? Elon’s Neuralink. He called it the white pill that will make everything fine. They’re already planning a future where robots are citizens with money… and humans need brain chips to keep up. Are you ready for robots to become legal citizens with bank accounts… or is this the moment people finally start paying attention?

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HustleBitch

16,336 views • 20 days ago

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

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𝘊𝘰𝘳𝘳𝘪𝘯𝘦

15,065 views • 7 months ago

🚨 Yoshua Bengio Just Dropped a Quiet Bombshell About Jobs and AI 🚨 One of the world’s most respected AI researchers, Yoshua Bengio, says something that should make everyone pause: We are already seeing the first cracks. Not everywhere. Not in the headline numbers. But in specific niches, especially among younger workers, AI is already taking over real tasks. That’s the canary in the coal mine. And Bengio is very clear about where this is going. •If we don’t hit a fundamental scientific wall, AI will keep getting smarter •Over time, it will be capable of doing most cognitive work humans do today •Companies will adopt it, slowly or fast, because the incentives are overwhelming The key distinction? Keyboard jobs go first. Physical jobs lag behind. Not because they’re safer forever, but because robots lack data. There is no “Internet of movement” yet. But once robots spread, they generate that data themselves. The bottleneck disappears. This isn’t a sudden crash. It’s a quiet, uneven shift. And by the time it’s obvious to everyone, it will already be far too late to ignore.

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VraserX e/acc

26,690 views • 7 months ago

AI-powered humanoid female robots are already being built to look human, hold conversations, remember your preferences, notice your moods, and adapt to your personality. At first, they’ll be marketed as assistants, caregivers, or entertainment. But the real product will be emotional availability. For some people, an AI companion may feel easier than a real relationship: no rejection, no awkwardness, no fear of being misunderstood, no need to compromise. They won’t replace women or human love. But they may reshape relationships by revealing how many people are not just looking for romance — they are looking to feel seen, desired, and safe. The question isn’t whether people will form real emotional bonds with AI. They already are. The question is: when AI has a human body, will real relationships become more human — or will we start expecting them to be as convenient as machines?

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AI_Courier

108,131 views • 28 days ago

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🚨 AI News | TestingCatalog

24,348 views • 3 months ago

Jensen Huang explains exactly how to make sure that AI doesn't take your job. "Your job has to be more than the task." If it is, he says there will most likely be more than enough work for you to do because AI will create more jobs than it destroys. Listen to him explain the difference between "jobs" and "tasks," and why this difference will have such a profound impact on the types of work that humans will do in an AI powered future. ---------- Joe: But don't you think there's many jobs that AI will replace if your job, particularly automation? Jensen: If your job is the task. Joe: So automation. Factory workers. Jensen: Yeah. If your job is the task, Joe: That's a lot of people. Jensen: It could be a lot of people. Yeah. But it'll probably generate, like for example, I'm super excited about the robots Elon's working on It's still a few years away. When it happens, there's a whole new industry of technicians and people will have to manufacture the robots, right? And so that job never existed. And so you're gonna have a whole industry of people taking care of, like for example, you know, all the mechanics and all the people who are building things for cars, supercharging cars, that didn't exist before cars. And now we're gonna have robots. You're gonna have robot apparels. So a whole industry. Because I want my robot to look different than your robot. ... Joe: Don't you think that will all be automated though? Jensen: No, not all of it. Joe: Don't think that'll be done by other robots Jensen: Eventually. And then there'll be something else. Joe: So you think ultimately people just adapt except if you are the task, which is a large percentage of the workforce. Jensen: If your job is just to chop vegetables, Cuisinart is gonna replace you. Joe: So people have to find meaning in other things. Jensen: Your job has to be more than the task. ---------- Link to the full conversation on YouTube below 👇

Jensen Huang explains exactly how to make sure that AI doesn't take your job. "Your job has to be more than the task." If it is, he says there will most likely be more than enough work for you to do because AI will create more jobs than it destroys. Listen to him explain the difference between "jobs" and "tasks," and why this difference will have such a profound impact on the types of work that humans will do in an AI powered future. ---------- Joe: But don't you think there's many jobs that AI will replace if your job, particularly automation? Jensen: If your job is the task. Joe: So automation. Factory workers. Jensen: Yeah. If your job is the task, Joe: That's a lot of people. Jensen: It could be a lot of people. Yeah. But it'll probably generate, like for example, I'm super excited about the robots Elon's working on It's still a few years away. When it happens, there's a whole new industry of technicians and people will have to manufacture the robots, right? And so that job never existed. And so you're gonna have a whole industry of people taking care of, like for example, you know, all the mechanics and all the people who are building things for cars, supercharging cars, that didn't exist before cars. And now we're gonna have robots. You're gonna have robot apparels. So a whole industry. Because I want my robot to look different than your robot. ... Joe: Don't you think that will all be automated though? Jensen: No, not all of it. Joe: Don't think that'll be done by other robots Jensen: Eventually. And then there'll be something else. Joe: So you think ultimately people just adapt except if you are the task, which is a large percentage of the workforce. Jensen: If your job is just to chop vegetables, Cuisinart is gonna replace you. Joe: So people have to find meaning in other things. Jensen: Your job has to be more than the task. ---------- Link to the full conversation on YouTube below 👇

Hans C Nelson 🗽

87,374 views • 9 months ago

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.

Balaji

177,530 views • 6 months ago

AI has started building its own successors. It's happening right now. Humans still kick most of it off, but the models are already training the next models, and each version builds a better version faster than the last. We know what happens when something gets an advantage and the substrate is there... it proliferates incredibly fast. Soon it just runs the whole process itself. People are still debating whether AI takes your job. That's not the question. You can't compete with this intelligence at all. Next to it the human is negative value, the slowest one in the room. And this is the slowest it will ever move again. It's about to run on its own, faster than we can conceive of, and nobody's prepared for that. Wonderful conversation as ever with Emad.

AI has started building its own successors. It's happening right now. Humans still kick most of it off, but the models are already training the next models, and each version builds a better version faster than the last. We know what happens when something gets an advantage and the substrate is there... it proliferates incredibly fast. Soon it just runs the whole process itself. People are still debating whether AI takes your job. That's not the question. You can't compete with this intelligence at all. Next to it the human is negative value, the slowest one in the room. And this is the slowest it will ever move again. It's about to run on its own, faster than we can conceive of, and nobody's prepared for that. Wonderful conversation as ever with Emad.

Raoul Pal

65,834 views • 1 month ago

China’s construction tech is on another level! If you still picture construction sites with tones of workers swinging hammers, you’re officially stuck in the 90s. In China they’re out here building skyscrapers like it’s a speedrun challenge, with a tech stack that would make Silicon Valley jealous. AI-Powered Smart Sites Drones, IoT sensors, and AI are managing construction sites better than some human managers. Real-time safety alerts, automated progress tracking, and even predictive maintenance are standard tools, not fancy bonuses. Green Building Technologies Solar panels built into facades. Rainwater harvesting embedded into skyscrapers. Buildings that regulate their own temperature to save energy, not future dreams, but today’s standards. Robotics in Construction From brick-laying robots to rebar-tying machines, construction crews in China now have mechanical teammates with no lunch breaks, no grumbling. Welcome to Construction 2.0 (China Edition) Humans supervising, robots building! Gone are the days when a construction site meant a hundred+ guys with shovels. In China’s construction sites today, the machines are the real MVPs, humans mostly sip coffee and supervise. Bricklaying Human hands? Please. Robotic arms now lay bricks faster, straighter, and neater than your uncle’s weekend DIY projects. Some can lay 1,000+ bricks an hour and never ask for overtime. Excavation Remember digging trenches with shovels? That’s adorable. Now AI-guided autonomous excavators carve the earth with GPS-level precision while operators chill in air-conditioned control rooms. Concrete Pouring Giant robotic nozzles squeezing out entire building frames like they’re icing a wedding cake. Layers and layers, no sweat, no mess, no “oops, we need to redo that wall.” Welding You think shaky human hands are still melting steel together? Nah. Robot welders buzz and spark with perfect, tireless accuracy, even in places that are too risky for humans to reach. Inspection Sending humans to climb scaffolding 50 stories up? Very 2002. Now drones buzz around construction sites like paparazzi, scanning every beam, bolt, and brick, spotting defects before a human eye would even blink. Material Transport Why carry things manually when you can have self-driving forklifts and delivery bots moving steel, concrete, and pipes faster than an Amazon Prime truck? Site Monitoring Forget some guy in a neon vest wandering around with a clipboard. Today it’s AI-driven command centers tracking thousands of data points: worker safety, machinery health, material delivery schedules all from one giant screen. Project Planning Old: Paper blueprints and arguing architects. New: AI and BIM (Building Information Modeling) simulate the entire building in virtual reality before the first brick is even printed. This video shows how construction sites in China are now using robots to handle tasks like rebar placement, concrete pouring, and polishing, which has led to a 50% reduction in the workforce at some projects. The robots are proving to be more efficient, with one project's furnace robot achieving a 20% efficiency increase in just 5 days, saving 5% on labor costs. The construction company is developing even more advanced robots for future use as they work to improve smart construction technology for widespread real-time application. At China’s next-gen construction sites, humans don’t sweat, they strategize. Machines are not seen as luxury, they are seen as a necessity. Why does it matter? China is using 5G, AI, IoT, and robotics to build entire smart cities. And when the world comes looking for fast, sustainable, and scalable construction models… guess who’s already handing out the blueprints? Next time you hear: ‘Made in China,’ think bigger, it is: ‘Engineered for the future in China.’

China’s construction tech is on another level! If you still picture construction sites with tones of workers swinging hammers, you’re officially stuck in the 90s. In China they’re out here building skyscrapers like it’s a speedrun challenge, with a tech stack that would make Silicon Valley jealous. AI-Powered Smart Sites Drones, IoT sensors, and AI are managing construction sites better than some human managers. Real-time safety alerts, automated progress tracking, and even predictive maintenance are standard tools, not fancy bonuses. Green Building Technologies Solar panels built into facades. Rainwater harvesting embedded into skyscrapers. Buildings that regulate their own temperature to save energy, not future dreams, but today’s standards. Robotics in Construction From brick-laying robots to rebar-tying machines, construction crews in China now have mechanical teammates with no lunch breaks, no grumbling. Welcome to Construction 2.0 (China Edition) Humans supervising, robots building! Gone are the days when a construction site meant a hundred+ guys with shovels. In China’s construction sites today, the machines are the real MVPs, humans mostly sip coffee and supervise. Bricklaying Human hands? Please. Robotic arms now lay bricks faster, straighter, and neater than your uncle’s weekend DIY projects. Some can lay 1,000+ bricks an hour and never ask for overtime. Excavation Remember digging trenches with shovels? That’s adorable. Now AI-guided autonomous excavators carve the earth with GPS-level precision while operators chill in air-conditioned control rooms. Concrete Pouring Giant robotic nozzles squeezing out entire building frames like they’re icing a wedding cake. Layers and layers, no sweat, no mess, no “oops, we need to redo that wall.” Welding You think shaky human hands are still melting steel together? Nah. Robot welders buzz and spark with perfect, tireless accuracy, even in places that are too risky for humans to reach. Inspection Sending humans to climb scaffolding 50 stories up? Very 2002. Now drones buzz around construction sites like paparazzi, scanning every beam, bolt, and brick, spotting defects before a human eye would even blink. Material Transport Why carry things manually when you can have self-driving forklifts and delivery bots moving steel, concrete, and pipes faster than an Amazon Prime truck? Site Monitoring Forget some guy in a neon vest wandering around with a clipboard. Today it’s AI-driven command centers tracking thousands of data points: worker safety, machinery health, material delivery schedules all from one giant screen. Project Planning Old: Paper blueprints and arguing architects. New: AI and BIM (Building Information Modeling) simulate the entire building in virtual reality before the first brick is even printed. This video shows how construction sites in China are now using robots to handle tasks like rebar placement, concrete pouring, and polishing, which has led to a 50% reduction in the workforce at some projects. The robots are proving to be more efficient, with one project's furnace robot achieving a 20% efficiency increase in just 5 days, saving 5% on labor costs. The construction company is developing even more advanced robots for future use as they work to improve smart construction technology for widespread real-time application. At China’s next-gen construction sites, humans don’t sweat, they strategize. Machines are not seen as luxury, they are seen as a necessity. Why does it matter? China is using 5G, AI, IoT, and robotics to build entire smart cities. And when the world comes looking for fast, sustainable, and scalable construction models… guess who’s already handing out the blueprints? Next time you hear: ‘Made in China,’ think bigger, it is: ‘Engineered for the future in China.’

Evrim Kanbur

71,826 views • 1 year ago

What is the “dark factory” that there’s so much talk about, in relation to software factories? dex, founder of HumanLayer explains: “You can imagine a car factory where it’s all robots building the cars, and they don’t have lights. There’s no humans. You walk in there, there’s no lights, there’s not even light switches. And in software, you can have mini loops that are dark in your thing: hey, if the code review agent comes back with a problem, you loop that back to the builder agent, it fixes it and comes back, and that’s a dark factory. You don’t need a human loop for that. But the full dark factory where you don’t read any code: yeah, it’s a good way to maximize your token utilization. If your belief is that ‘my job is to extract as much intelligence out of the machine as I can’, then you go token harder. And my take is token smarter: how do I get as much value out of AI as I can without having to turn the lights off, while still maintaining control and taste and judgment and understanding the system architecture?”

What is the “dark factory” that there’s so much talk about, in relation to software factories? dex, founder of HumanLayer explains: “You can imagine a car factory where it’s all robots building the cars, and they don’t have lights. There’s no humans. You walk in there, there’s no lights, there’s not even light switches. And in software, you can have mini loops that are dark in your thing: hey, if the code review agent comes back with a problem, you loop that back to the builder agent, it fixes it and comes back, and that’s a dark factory. You don’t need a human loop for that. But the full dark factory where you don’t read any code: yeah, it’s a good way to maximize your token utilization. If your belief is that ‘my job is to extract as much intelligence out of the machine as I can’, then you go token harder. And my take is token smarter: how do I get as much value out of AI as I can without having to turn the lights off, while still maintaining control and taste and judgment and understanding the system architecture?”

The Pragmatic Engineer

37,636 views • 1 month ago

AI Overviews are showing up for more and more searches. And when they do, fewer people click. That’s the part everyone is panicking about. Google gives the answer right there, so the user doesn’t always need to visit your site. But SEO is not dead. The game just changed. Because now your job is not only to rank on Google. Your job is to become the source AI trusts enough to recommend. That means showing up in Google AI Overviews, ChatGPT, Perplexity, Gemini, and all the other places people are asking questions. This is why tools like Ubersuggest matter even more now. You can use it to see what people are searching for, what questions they’re asking, what competitors rank for, and where your content gaps are. Then you turn that into better answers. Not generic blog posts. Real expertise. Real examples. Clear explanations. Content that both humans and AI can understand, trust, and cite. And your website still matters because that’s where attention turns into action. AI can summarize information. But it does not close the deal for you. It does not build the relationship. It does not replace your proof, your offer, or your brand. So save this action plan.

Neil Patel

10,260 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.

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 • 4 months ago

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."

Big Brain AI

144,997 views • 1 month ago

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"

MTS

11,083 views • 1 month ago

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.

Karl Mehta

44,425 views • 1 month ago

NYC Mayor Mamdani announced on Sunday that his administration will build a city-run grocery store on city-owned land in East Harlem. He says he “looks forward to the competition” of battling against corporations. But what he’s failing to say is that small grocery stores, which need to make a profit to survive, will be the ones that suffer when faced with a city-run grocery store that isn’t necessarily funded by what it sells. It’s a lose/lose. Other U.S. cities (and other countries) have tried to make city-run grocery stores work. They’ve all failed, so many don’t even try anymore. Mayor Brandon Johnson in Chicago bailed on his plan to open city-run grocery stores after public criticism and feasibility concerns. Some of the consistent problems with these kinds of grocery stores are long lines, shortages, lack of variety, outdated products, corruption, bad customer service, and inefficiency. New York City also doesn’t really have a demand for these grocery stores. There are over 1,000 grocery stores already in NYC, most within walking distance. The bigger stores have sophisticated systems and are able to negotiate lower prices by buying in volume. City-run stores can’t do this since there are always so few of them if any. So these stores end up operating at a loss and failing. It’s always the same result. Mamdani is naive and will fail. He already has with almost everything he’s tried to do. Instead of coming up with new positive solutions or implementing old successful strategies, he’s going with old failed ideas. Socialism has never worked. It never will. (nbcnewyork on TT)

NYC Mayor Mamdani announced on Sunday that his administration will build a city-run grocery store on city-owned land in East Harlem. He says he “looks forward to the competition” of battling against corporations. But what he’s failing to say is that small grocery stores, which need to make a profit to survive, will be the ones that suffer when faced with a city-run grocery store that isn’t necessarily funded by what it sells. It’s a lose/lose. Other U.S. cities (and other countries) have tried to make city-run grocery stores work. They’ve all failed, so many don’t even try anymore. Mayor Brandon Johnson in Chicago bailed on his plan to open city-run grocery stores after public criticism and feasibility concerns. Some of the consistent problems with these kinds of grocery stores are long lines, shortages, lack of variety, outdated products, corruption, bad customer service, and inefficiency. New York City also doesn’t really have a demand for these grocery stores. There are over 1,000 grocery stores already in NYC, most within walking distance. The bigger stores have sophisticated systems and are able to negotiate lower prices by buying in volume. City-run stores can’t do this since there are always so few of them if any. So these stores end up operating at a loss and failing. It’s always the same result. Mamdani is naive and will fail. He already has with almost everything he’s tried to do. Instead of coming up with new positive solutions or implementing old successful strategies, he’s going with old failed ideas. Socialism has never worked. It never will. (nbcnewyork on TT)

Paul A. Szypula 🇺🇸

230,784 views • 4 months ago