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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 次观看 • 1 年前 •via X (Twitter)

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Lazarus G ☦️ 🇦🇺🔻🧯 的头像

Lazarus G ☦️ 🇦🇺🔻🧯1 年前

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

🇺🇸 Ryan 🇺🇸 的头像

🇺🇸 Ryan 🇺🇸1 年前

You have been replaced.

Kekaius 的头像

Kekaius1 年前

@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 ✦ 的头像

Wisdom ✦1 年前

Lmao what if i don't have a job 😭😂

MATK!NG`$™ ∞ TΛNSSI👑 ♣️ 的头像

MATK!NG`$™ ∞ TΛNSSI👑 ♣️1 年前

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

TacticzHazel - Value Investing 的头像

TacticzHazel - Value Investing1 年前

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

RMD Venture Capital _̴̡̧̧̢̧̭̺̣͖̬̲̹̬̭̰̘̫͎̹͓̹̮͔̩̦̫̮̰ 的头像

RMD Venture Capital _̴̡̧̧̢̧̭̺̣͖̬̲̹̬̭̰̘̫͎̹͓̹̮͔̩̦̫̮̰1 年前

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

pavelin🇭🇷 的头像

pavelin🇭🇷1 年前

Automation is advancing quickly

DontCare760😎 的头像

DontCare760😎1 年前

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

Andy froemel 的头像

Andy froemel1 年前

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 次观看 • 1 年前

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.

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.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

15,065 次观看 • 5 个月前

🚨 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.

🚨 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.

VraserX e/acc

26,690 次观看 • 6 个月前

🚨 AI IN COFFEE SHOPS IN PREPARATION FOR THE ROBOT TAKE OVER A coffee shop just installed AI that watches everyone: customers, staff, probably even the espresso machine. It tracks how long you sit, how fast baristas serve drinks, and where people move inside the store using creepy little boxes and squiggly lines. The system’s called Neurospot, and it’s not just watching; it’s learning how humans behave so robots can eventually do your job better than you. Retail theft? Tougher now. Slacking off? Also tougher. You might have to work a little harder if you're a barista... but hey, at least you'll no longer be tempted to quit your job and opt for a career of petty theft instead. Source: kallaway on Instagram

🚨 AI IN COFFEE SHOPS IN PREPARATION FOR THE ROBOT TAKE OVER A coffee shop just installed AI that watches everyone: customers, staff, probably even the espresso machine. It tracks how long you sit, how fast baristas serve drinks, and where people move inside the store using creepy little boxes and squiggly lines. The system’s called Neurospot, and it’s not just watching; it’s learning how humans behave so robots can eventually do your job better than you. Retail theft? Tougher now. Slacking off? Also tougher. You might have to work a little harder if you're a barista... but hey, at least you'll no longer be tempted to quit your job and opt for a career of petty theft instead. Source: kallaway on Instagram

Mario Nawfal

22,143 次观看 • 10 个月前

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀

🚨 AI News | TestingCatalog

24,086 次观看 • 2 个月前

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 次观看 • 7 个月前

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

177,026 次观看 • 5 个月前

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 次观看 • 1 年前

Robots still fail at the simplest job: picking stuff up. 🫴🏼 Robots are good at repetition, but most still fail at grasping varied objects. In warehouses and grocery fulfillment, that’s the bottleneck: items aren’t uniform, and rigid grippers break or drop them. Nexera-Robotics built NeuraGrasp to address this. The system combines a compliant surface that mimics human fingertips with an AI controller that adjusts grip in real time. It doesn’t need reprogramming for each SKU and can handle fragile, irregular items as well as standard packages. This matters because if grasping is solved, robots stop being limited to narrow workflows. They can finally automate the “last meter” of logistics and retail, where most of the labor costs remain today. It's oddly satisfying to see a gripper that can pick up (almost) anything! 🫶🏼

Robots still fail at the simplest job: picking stuff up. 🫴🏼 Robots are good at repetition, but most still fail at grasping varied objects. In warehouses and grocery fulfillment, that’s the bottleneck: items aren’t uniform, and rigid grippers break or drop them. Nexera-Robotics built NeuraGrasp to address this. The system combines a compliant surface that mimics human fingertips with an AI controller that adjusts grip in real time. It doesn’t need reprogramming for each SKU and can handle fragile, irregular items as well as standard packages. This matters because if grasping is solved, robots stop being limited to narrow workflows. They can finally automate the “last meter” of logistics and retail, where most of the labor costs remain today. It's oddly satisfying to see a gripper that can pick up (almost) anything! 🫶🏼

Lukas Ziegler

24,055 次观看 • 11 个月前

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 次观看 • 2 个月前

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 🇺🇸

230,569 次观看 • 3 个月前

This gentleman says there is no need for President Trump to wait on an elected official from a city running rampant with crime to ask for help. Just go in and take over. This is what the people need and want. “(President Trump) you’ve laid out a blueprint that can and should be used throughout the United States of America in those communities that need your help. I’ve also heard you’re waiting for a politician or an elected official to call and ask for your help. Well I’m telling you right now sir….there’s already a clarion call for your help. And that is the call from the blood that has already been spilt on those streets. Those streets, whether it be Chicago, New York, L.A., Denver, wherever it is, those streets, those cities, already need your help. You don’t have to wait for an elected official.” Nothing but facts spoken here! You should be an elected official Coach Larry Joe. We need people with common sense like you. Those that don’t want crime cleaned up are clearly the problem.

This gentleman says there is no need for President Trump to wait on an elected official from a city running rampant with crime to ask for help. Just go in and take over. This is what the people need and want. “(President Trump) you’ve laid out a blueprint that can and should be used throughout the United States of America in those communities that need your help. I’ve also heard you’re waiting for a politician or an elected official to call and ask for your help. Well I’m telling you right now sir….there’s already a clarion call for your help. And that is the call from the blood that has already been spilt on those streets. Those streets, whether it be Chicago, New York, L.A., Denver, wherever it is, those streets, those cities, already need your help. You don’t have to wait for an elected official.” Nothing but facts spoken here! You should be an elected official Coach Larry Joe. We need people with common sense like you. Those that don’t want crime cleaned up are clearly the problem.

👉M-Û-R-Č-H👈

47,540 次观看 • 10 个月前

In our latest benchmark, a traditional text-to-SQL approach required more than 4,400 schema-related tokens per query just to provide the model with enough context to understand a 28-table insurance data model. Think about that for a second: before AI can interpret the question, it first has to read the instruction manual. What we found is that when business context is already organized and governed, AI doesn't need to repeatedly rediscover how your data works. We created this white paper to help companies direct their attention to where costs are piling up and how Mosaic directly reduces them. Read the benchmark here: #EnterpriseAI #DataAnalytics #SemanticLayer #BusinessIntelligence

In our latest benchmark, a traditional text-to-SQL approach required more than 4,400 schema-related tokens per query just to provide the model with enough context to understand a 28-table insurance data model. Think about that for a second: before AI can interpret the question, it first has to read the instruction manual. What we found is that when business context is already organized and governed, AI doesn't need to repeatedly rediscover how your data works. We created this white paper to help companies direct their attention to where costs are piling up and how Mosaic directly reduces them. Read the benchmark here: #EnterpriseAI #DataAnalytics #SemanticLayer #BusinessIntelligence

Strategy

11,097 次观看 • 1 个月前

🚨BREAKING: Gamma is doing to Canva what Canva did to Photoshop. When Canva came out, it changed everything no need for heavy apps or pro design skills. But in the AI era? It’s falling behind. Now tools like Gamma are taking over. No more dragging templates, tweaking text, or moving boxes around. Just drop your content and let AI do the rest. In seconds, it builds a clean, pro-level deck—better than what most people make manually. I tried it. 10/10 would ditch Canva again. Watch it work in real time:

🚨BREAKING: Gamma is doing to Canva what Canva did to Photoshop. When Canva came out, it changed everything no need for heavy apps or pro design skills. But in the AI era? It’s falling behind. Now tools like Gamma are taking over. No more dragging templates, tweaking text, or moving boxes around. Just drop your content and let AI do the rest. In seconds, it builds a clean, pro-level deck—better than what most people make manually. I tried it. 10/10 would ditch Canva again. Watch it work in real time:

Muhammad Ayan

46,448 次观看 • 1 年前

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.

Dustin

322,730 次观看 • 4 个月前

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles Cheong

912,404 次观看 • 5 个月前

Big news this week, Cast AI just crossed a one billion dollar valuation. It’s officially a unicorn. I joined about four months ago, and it genuinely doesn’t feel that long. Things move fast when you’re building with no speed limits. The valuation is a big milestone, but we’re super excited about what launched alongside it: OMNI Compute. In simple terms, it makes it easier to get GPUs when you need them. If your workload is running in AWS in a European region and there are no GPUs available there, OMNI Compute can automatically use GPUs from another region or even a different cloud provider. You don’t need to migrate anything or change your application. It’s handled automatically, within the same Kubernetes setup. 🗒️ Read on:

Big news this week, Cast AI just crossed a one billion dollar valuation. It’s officially a unicorn. I joined about four months ago, and it genuinely doesn’t feel that long. Things move fast when you’re building with no speed limits. The valuation is a big milestone, but we’re super excited about what launched alongside it: OMNI Compute. In simple terms, it makes it easier to get GPUs when you need them. If your workload is running in AWS in a European region and there are no GPUs available there, OMNI Compute can automatically use GPUs from another region or even a different cloud provider. You don’t need to migrate anything or change your application. It’s handled automatically, within the same Kubernetes setup. 🗒️ Read on:

Kunal Kushwaha

13,459 次观看 • 6 个月前

IMPORTANT 🚨 Starting October 1, 2025 Cigna Health Insurance announced they will start using an algorithm to automatically down code what physicians do to reduce payments THIS IS FRAUD, if a doctor up codes it’s illegal, but CIgna decided they can make their own rules “If you have Cigna health insurance, don't be surprised if your doctor says he's no longer taking your coverage. Cigna announced that they're going to down code exam visits. So new patient exam and follow up patient exams, re-exams or follow ups that you have with your doctor for anything, they're going to take those high level exams when your doctor's actually spending time with you trying to figure things out coded at a 4 or a 5. These are higher level exams and they're gonna automatically down code these exams to a 2 or a 3. What this means is the doctor is gonna get paid less for the amount of time being spent with the patient and he's gonna be forced, he or she's gonna be forced to spend extra time sending in notes and records in addition to all the other things they have to do for the insurance company. I see this as a way that the doctors are just going to simply say enough, we're not going to take insurance anymore. I'm letting you know this because do not be surprised if doctors stop taking in Cigna as your insurance. This is right on the heels, maybe even the same day it was announced that Johns Hopkins Hospital is no longer going to be taking UnitedHealthcare. So don't think that the doctors and the hospitals are not trying to do something about this. Johns Hopkins is no longer going to take UnitedHealthcare. And now Cigna announces they said, hey, hold my beer. We're going to down code all doctors visits from a that are four or five level code to a two or three. And I'm telling you, doctors are not gonna, they're, they don't have the time to send in these records and notes to try to get paid on the back end. They're going to be getting paid less for high level services, which you, the patient, need and require. You already need more time with the doctor. You already need more his attention. So when he gives it to you, Cigna is going to penalize him for it”

IMPORTANT 🚨 Starting October 1, 2025 Cigna Health Insurance announced they will start using an algorithm to automatically down code what physicians do to reduce payments THIS IS FRAUD, if a doctor up codes it’s illegal, but CIgna decided they can make their own rules “If you have Cigna health insurance, don't be surprised if your doctor says he's no longer taking your coverage. Cigna announced that they're going to down code exam visits. So new patient exam and follow up patient exams, re-exams or follow ups that you have with your doctor for anything, they're going to take those high level exams when your doctor's actually spending time with you trying to figure things out coded at a 4 or a 5. These are higher level exams and they're gonna automatically down code these exams to a 2 or a 3. What this means is the doctor is gonna get paid less for the amount of time being spent with the patient and he's gonna be forced, he or she's gonna be forced to spend extra time sending in notes and records in addition to all the other things they have to do for the insurance company. I see this as a way that the doctors are just going to simply say enough, we're not going to take insurance anymore. I'm letting you know this because do not be surprised if doctors stop taking in Cigna as your insurance. This is right on the heels, maybe even the same day it was announced that Johns Hopkins Hospital is no longer going to be taking UnitedHealthcare. So don't think that the doctors and the hospitals are not trying to do something about this. Johns Hopkins is no longer going to take UnitedHealthcare. And now Cigna announces they said, hey, hold my beer. We're going to down code all doctors visits from a that are four or five level code to a two or three. And I'm telling you, doctors are not gonna, they're, they don't have the time to send in these records and notes to try to get paid on the back end. They're going to be getting paid less for high level services, which you, the patient, need and require. You already need more time with the doctor. You already need more his attention. So when he gives it to you, Cigna is going to penalize him for it”

Wall Street Apes

83,228 次观看 • 10 个月前

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

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

14,627 次观看 • 1 个月前