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Mike Adams: I Will Train Humanoid Robots to Help Humanity Survive the Collapse The Health Ranger Mike Adams and I sat down for an enlightening discussion on prepper robots, A.I, and the nature of human consciousness. More discussions to come! Thank you, HealthRanger!

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Reese Marrero

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11,192 görüntüleme • 9 ay önce •via X (Twitter)

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Elon Musk predicts that the ratio of humanoid robots to humans will be >>1 "Long term I think the ratio of humanoid robots will be more than humans. We might have more than 10 billion humanoid robots."
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Elon Musk predicts that the ratio of humanoid robots to humans will be >>1 "Long term I think the ratio of humanoid robots will be more than humans. We might have more than 10 billion humanoid robots."

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🇺🇸 CATHIE WOOD: HUMANOID ROBOTS WILL BE THE BIGGEST AI OPPORTUNITY “I think the chaser is gonna be humanoid robots. And I think that is going to be the biggest of all the embodied AI opportunities.” Source: ArkDaily
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🇺🇸 CATHIE WOOD: HUMANOID ROBOTS WILL BE THE BIGGEST AI OPPORTUNITY “I think the chaser is gonna be humanoid robots. And I think that is going to be the biggest of all the embodied AI opportunities.” Source: ArkDaily

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Don't sleep on humanoid robots. Humanoid robots are going to play a profound role in our lives, and it will likely be sooner than most expect. I discuss some pivotal questions with jimmah in my effort to gain insight and clarity: - How do you evaluate Tesla's (and other companies') progress with humanoid robots? - Who will be the winner? Or will there be multiple big winners? - How long will it take until we see millions of humanoid robots produced annually? - What's harder for humanoid robots - the hardware of software? - How can we track progress across humanoid robot companies? - What's the next big milestones or demonstrations Tesla can show? If you're going to spend an hour listening/watching anything online this week, I highly recommend this!
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Don't sleep on humanoid robots. Humanoid robots are going to play a profound role in our lives, and it will likely be sooner than most expect. I discuss some pivotal questions with jimmah in my effort to gain insight and clarity: - How do you evaluate Tesla's (and other companies') progress with humanoid robots? - Who will be the winner? Or will there be multiple big winners? - How long will it take until we see millions of humanoid robots produced annually? - What's harder for humanoid robots - the hardware of software? - How can we track progress across humanoid robot companies? - What's the next big milestones or demonstrations Tesla can show? If you're going to spend an hour listening/watching anything online this week, I highly recommend this!

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Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.
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Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.

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.Elon Musk told me he plans to build “Optimus Academy” to train an army of humanoid robots. > “millions of simulated robots in the simulated world” > “tens of thousands of robots in the real world, to close the simulation to reality gap.” Why? There’s two big differences between the way Tesla will train humanoid robots and the way it built Full Self-Driving. - FSD only requires learning three degrees of freedom: turning, accelerating, braking … and a humanoid robot has to learn how to coordinate 50+ joints. - You can sell a Tesla without FSD, which allows you to collect the millions and millions of hours of driving data needed to bootstrap your model ... but you can’t sell an Optimus that hasn’t learned how to do stuff yet. The Optimus Academy is Elon’s attempt to build the data flywheel that Tesla got for free with FSD.

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