melrate @melrate
A front-row seat to AI, tech and the weird future we’re building Detroit, MI Joined January 2021-
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THE FUTURE OF WORK SHOULDN’T BE HUMANS VS. ROBOTS. This humanoid is working inside a real clothing factory, using the same kind of sewing equipment and workspace built for people. That’s where the technology gets interesting. Garment production is full of repetitive motions that workers perform thousands of times per shift handling fabric, positioning pieces, feeding machines, sorting and repeating the same movements for hours. Humanoids can take over the most exhausting parts while people focus on quality, design, supervision and decisions that actually need human judgment. The goal shouldn’t be to remove people from factories. It should be to remove the work that slowly wears people down. The best version of automation isn’t fewer humans. It’s humans doing more human work.
China is not playing around. Booster Robotics autonomous robot formation at the World Humanoid Robot Games. HumanoidRobotics #WorldHumanoidRobotGames BoosterRobotics EmbodiedAI
@spreadik Sure.. humanoids shouldn’t replace people they should go where sending a human could cost a life.
THE BEST PLACE FOR A HUMANOID IS WHERE WE’D NEVER WANT TO SEND A HUMAN. Today we watch robots learn balance, recovery and coordinated movement. Tomorrow, those same skills could matter after an earthquake, wildfire, flood or landslide. Imagine humanoids walking through unstable rubble while aftershocks are still happening, entering smoke-filled buildings, crossing flooded streets, checking for gas leaks, carrying medical supplies or searching for survivors while rescue teams stay outside the danger zone. Natural disasters create exactly the environments humans struggle with most: heat, toxic air, darkness, unstable ground and exhaustion. Robots don’t need to replace rescuers. They can become the first ones we send in mapping the danger, finding people and making the path safer for everyone who follows. The real breakthrough won’t be a robot that moves like a human. It’ll be one that can go where a human shouldn’t have to.
@Randall25210405 Yeah.. Humans shouldn’t have to compete with humanoids we should use them as tools that make our work safer, easier, and more efficient.
THE BEST USE OF A HUMANOID? LET IT TAKE THE RISK FIRST. This robot walking alongside officers looks futuristic but the real idea behind it is surprisingly human. Imagine sending machines into the places we currently send people first: A burning building. A chemical leak. A collapsed structure. A suspicious package. A dangerous confrontation. Humanoids can see, carry, inspect, communicate and operate in spaces already designed for us without putting a heartbeat on the line. That’s where robotics becomes much bigger than convenience or productivity. The goal isn’t to build machines that replace people. It’s to build machines we can send into situations where we desperately want the person to come back alive.
“We're headed for a future of amazing abundance. Robots will make so many robots that they will saturate all human needs. You won’t even be able to think of something to ask a robot for. There will be an abundance of goods and services, and more robots than people.” — Elon Musk
@Caarat1 Exactly. Used the right way, humanoids shouldn’t mean fewer jobs for people. They should be tools that assist us, handle the dangerous parts, and make human work safer and easier.
@Elpoeta_pastor I hope our future will be better🙄
THE FIRST ROBOT YOU’LL ACTUALLY WANT AT HOME. Figure 03 is loading delicate glassware into a dishwasher fully autonomously and this is exactly where humanoid robots start becoming genuinely useful. Not flashy stunts. Not factory demos. The boring tasks that quietly steal hours from everyday life. Dishes. Laundry. Cleaning. Carrying groceries. Putting things away. A household robot doesn’t need to be superhuman to change your life. It just needs to reliably give you back 30–60 minutes every single day. That adds up to hundreds of hours a year. The real luxury of home robots won’t be owning one. It’ll be getting your time back.
@Elpoeta_pastor Fair enough 😂 Soon the robot will be doing the dishes while you scroll Twitter and TikTok
@Develop_Sure This is a fully autonomous humanoid. At first, everyone wants to keep an eye on the process, but over time you won’t even think about it anymore
@asteriscopy Maybe it’s a bit slow right now, but it’s already freeing up your time. And over time, the ergonomics will improve too.
THIS IS WHERE HUMANOIDS ACTUALLY MAKE SENSE. This robot is handling the kind of repetitive factory task humans can physically do but shouldn’t have to repeat thousands of times every shift. It sits at a normal workstation, positions the material, feeds it through the machine, adjusts its hands and starts the cycle again. That’s where humanoids could become genuinely useful. Not by pushing people out of factories, but by taking over the exhausting, monotonous parts of the job while humans handle quality control, problem-solving and everything that still requires judgment. Less repetitive strain. Fewer injuries. More consistent production. And because the robot can work with equipment already designed for humans, factories may not need to rebuild everything around automation. The best future isn’t humans vs. robots. It’s humans no longer doing the work that makes them feel like robots.
Humanoid Robots As intelligent automation systems, they are embedded within existing upstream and downstream processes, complementing and enhancing the capabilities of full-chain automation, such as production lines and warehouses. As auxiliary assistants, collaborating with
A HUMAN LEARNS THIS JOB ONCE. A ROBOT CAN COPY IT 10,000 TIMES. Watch what’s actually happening here. This robot isn’t repeating one perfectly programmed movement. Every package changes the problem different weight, shape, position, grip and balance. That’s exactly what used to make warehouse automation difficult. A human worker learns how to deal with those exceptions through experience. A humanoid can potentially learn the same lesson once then send that skill to every identical machine in the fleet. That’s the part people underestimate. You’re not replacing one worker with one robot. Eventually, you’re training one robot and deploying the lesson everywhere. That’s when automation stops scaling like labor.
Europe does not innovate at all! 🇪🇺 Such statements have been appearing recently. Lately, we have been known for the fact that it is difficult to drink from our plastic bottles because of the regulated caps. Fortunately, this is not true. Spoiler: I now have a great strategy
THIS IS HOW JOBS DISAPPEAR. ONE TASK AT A TIME. Tesla’s Optimus isn’t cooking in some custom lab. It’s using a human kitchen. Human tools. Human counters. Human-sized objects. That changes the entire equation. For decades, we redesigned factories around robots. Humanoids flip that model: the robot adapts to the world we already built. If that works reliably, you don’t need - robot restaurants - robot warehouses - robot homes You just drop the worker into the existing one. The pan is irrelevant. The real breakthrough is a machine learning to live inside our world without us rebuilding it first.
THE PUNCH ISN’T THE BREAKTHROUGH. THE RECOVERY IS. Two humanoid robots are literally boxing each other - but the punches are the least interesting part. Watch what happens between them. * getting hit and staying balanced * adjusting foot placement in real time * reacting to unpredictable movement * recovering after losing stability * continuing the task without a human reset For decades, industrial robots worked inside cages because the environment had to be perfectly predictable. Humanoids are being built for the exact opposite: a world that constantly goes wrong. A factory worker gets bumped. A box falls. The floor is uneven. Someone walks into the robot’s path. The real unlock isn’t a robot that can throw a better punch. It’s a robot that can get hit, lose balance, recover — and keep working like nothing happened. That’s the difference between a demo and a worker.
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000
$1.5B in a single quarter just from parking cash in T-bills? Tether is basically running a shadow money market fund with better margins than most banks. Who really needs a banking license anymore? #Tether
Honestly, an $8.2B paper loss would send most companies into panic mode, but Strategy just casually stacks a 2-year dividend cushion and keeps buying. That kind of conviction is either genius or madness. #Bitcoin Which one do you think it is?
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