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Yield over Strength, Stand over Time | Wuji Hand 2 Fully upgraded dexterous hand. Redefining precision manipulation for embodied intelligence. Learn more: Sales inquiries: [email protected] Careers: [email protected] #WujiTech #DexterousHand #WujiHand2 #EmbodiedAI #robotics #PhysicalAI

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WUJI TECH

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32,865 просмотров • 3 месяцев назад •via X (Twitter)

#WujiTech#DexterousHand
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After 8 months, Wuji Hand fully upgraded. Wuji Hand 2 -- Creating for elegance, redefining the dexterous. Learn more: Sales Inquiries: sales@wuji.tech Careers: talentpro@wuji.tech #wujitech #wujihand #Robotics #DexterousHand #EmbodiedAI #PhysicalAI
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After 8 months, Wuji Hand fully upgraded. Wuji Hand 2 -- Creating for elegance, redefining the dexterous. Learn more: Sales Inquiries: [email protected] Careers: [email protected] #wujitech #wujihand #Robotics #DexterousHand #EmbodiedAI #PhysicalAI

WUJI TECH

68,920 просмотров • 4 месяцев назад

Wuji Glove × Wuji Hand｜Teleoperation 1:1 motion mapping. Low-latency response. 7 dexterous motions — witness the seamless choreography of Wuji Glove × Wuji Hand. Learn more: 🔗 📄 Product Docs: 🛒 Sales Inquiries: sales@wuji.tech 🎯 Careers: talentpro@wuji.tech #wujitech #wujihand #wujiglove #Robotics #DexterousHand #Teleoperation #EmbodiedAI #PhysicalAI
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Wuji Glove × Wuji Hand｜Teleoperation 1:1 motion mapping. Low-latency response. 7 dexterous motions — witness the seamless choreography of Wuji Glove × Wuji Hand. Learn more: 🔗 📄 Product Docs: 🛒 Sales Inquiries: [email protected] 🎯 Careers: [email protected] #wujitech #wujihand #wujiglove #Robotics #DexterousHand #Teleoperation #EmbodiedAI #PhysicalAI

WUJI TECH

20,661 просмотров • 4 месяцев назад

Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI
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Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI

MANUS™

11,998 просмотров • 22 дней назад

🚀 SoloTech breakthrough: NVIDIA Sonic goes beyond the G1. 🌏 We’ve achieved a global first: migrating NVIDIA Sonic to a completely different humanoid morphology, the AGIBOT X2 🥇 This is a massive leap for transferable humanoid intelligence. We are moving away from single-robot controllers toward architectures that generalize across diverse embodiments. The Specs: Hardware: AGIBOT X2 Ultra (31 DoF) Precision: 14-DoF Dexterous Hands Capabilities: - End-to-end whole-body locomotion with manipulation - Single leg balancing and stylized motion - Upper body gestures Big respect to the team fueling this innovation all the way! Sitarama Chekuri Zeeshaan Mohammed samarth shukla Devinder Sodhi pranjal mehta @build Frontier Tower NVIDIA AGIBOT Nebius UFB - Ultimate Fighting Bots Vitaly Bulatov Xenia Bulatov NVIDIA Robotics To learn more about Solo Tech at the frontier of Physical AI: #PhysicalAI #Robotics #Humanoids #NVIDIA #AGIBOT #SoloTech #EmbodiedAI #SoloSeven
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🚀 SoloTech breakthrough: NVIDIA Sonic goes beyond the G1. 🌏 We’ve achieved a global first: migrating NVIDIA Sonic to a completely different humanoid morphology, the AGIBOT X2 🥇 This is a massive leap for transferable humanoid intelligence. We are moving away from single-robot controllers toward architectures that generalize across diverse embodiments. The Specs: Hardware: AGIBOT X2 Ultra (31 DoF) Precision: 14-DoF Dexterous Hands Capabilities: - End-to-end whole-body locomotion with manipulation - Single leg balancing and stylized motion - Upper body gestures Big respect to the team fueling this innovation all the way! Sitarama Chekuri Zeeshaan Mohammed samarth shukla Devinder Sodhi pranjal mehta @build Frontier Tower NVIDIA AGIBOT Nebius UFB - Ultimate Fighting Bots Vitaly Bulatov Xenia Bulatov NVIDIA Robotics To learn more about Solo Tech at the frontier of Physical AI: #PhysicalAI #Robotics #Humanoids #NVIDIA #AGIBOT #SoloTech #EmbodiedAI #SoloSeven

Dhruv Diddi

26,660 просмотров • 4 месяцев назад

⚡️EgoVerse is a first-of-its-kind, collaborative ecosystem for human-to-robot learning. The consortium leverages Project Aria to capture high-fidelity, egocentric human data — including 3D hand and head poses — to train next-gen robot manipulation policies. With over 1,300 hours of data across 2,000+ tasks, EgoVerse is a prime example of how the Aria Research Kit is being used by our partners to accelerate the future of embodied AI. Learn more: 🔗 📰 Apply for the Aria Research Kit: #MachineLearning #Robotics #ProjectAria #EgoVerse #ComputerVision Simar Kareer , Ryan Punamiya , Roger Qiu, Xiongyi Cai , Alexey Gavryushin
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⚡️EgoVerse is a first-of-its-kind, collaborative ecosystem for human-to-robot learning. The consortium leverages Project Aria to capture high-fidelity, egocentric human data — including 3D hand and head poses — to train next-gen robot manipulation policies. With over 1,300 hours of data across 2,000+ tasks, EgoVerse is a prime example of how the Aria Research Kit is being used by our partners to accelerate the future of embodied AI. Learn more: 🔗 📰 Apply for the Aria Research Kit: #MachineLearning #Robotics #ProjectAria #EgoVerse #ComputerVision Simar Kareer , Ryan Punamiya , Roger Qiu, Xiongyi Cai , Alexey Gavryushin

Project Aria @Meta

18,110 просмотров • 4 месяцев назад

NVIDIA just announced EgoScale 🤖🧠 NVIDIA Research has uncovered a log-linear scaling law for robot dexterity by pretraining VLA models on over 20,000 hours of egocentric human video This massive dataset is 20 times larger than previous efforts and proves that robot intelligence follows a predictable path: the more human data, the lower the loss The secret is a simple recipe combining large-scale human pretraining with a small amount of aligned human-robot mid-training to bridge the gap In testing, this method boosted the average success rate by 54% on a 22-DoF robotic hand compared to policies built without pretraining EgoScale also enables one-shot task adaptation and works across different hardware, suggesting that human motion is a universal motor prior for robots Website: Paper: Source: NVIDIA Research #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #NVIDIA #EgoScale #GR00T
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NVIDIA just announced EgoScale 🤖🧠 NVIDIA Research has uncovered a log-linear scaling law for robot dexterity by pretraining VLA models on over 20,000 hours of egocentric human video This massive dataset is 20 times larger than previous efforts and proves that robot intelligence follows a predictable path: the more human data, the lower the loss The secret is a simple recipe combining large-scale human pretraining with a small amount of aligned human-robot mid-training to bridge the gap In testing, this method boosted the average success rate by 54% on a 22-DoF robotic hand compared to policies built without pretraining EgoScale also enables one-shot task adaptation and works across different hardware, suggesting that human motion is a universal motor prior for robots Website: Paper: Source: NVIDIA Research #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #NVIDIA #EgoScale #GR00T

RoboHub🤖

43,752 просмотров • 6 месяцев назад

X-Humanoid just officially dropped Embodied Tien Kung 3.0, A universal platform designed to be way more open and developer-friendly. 🤖 Built on their Wise Kaiwu AI platform, this next-gen humanoid is all about slashing development costs. It’s a fully interoperable ecosystem that supports everything from tactile interaction to high-dynamic motion control at a full humanoid scale. ➤ Radical Openness: X-Humanoid is open-sourcing the full stack—robot body, motion control, VLM/VLA models, and the RoboMIND dataset. It fully supports ROS2, MQTT, and TCP/IP, so developers can customize use cases without re-engineering the basics. ➤ High-Performance Hardware: With high-torque integrated joints, Tien Kung 3.0 can clear 1-meter (3.3ft) obstacles and handle dexterous moves like kneeling and bending. It hits millimeter-level precision, making it a solid fit for industrial-grade tasks. ➤ True Autonomy: The bot runs a continuous perception-decision-execution loop. It uses world models to break down complex language commands and VLA models for real-time obstacle avoidance and navigation. ➤ Scalable Collaboration: The platform moves beyond single-unit tasks to support multi-robot collaboration with autonomous scheduling. It’s built to move embodied AI from the lab straight into real-world commercial and industrial environments. Source: X-Humanoid #Humanoid #OpenSource #Robotics #EmbodiedAI #PhysicalAI #Automation #XHumanoid #TienKung #WiseKaiwu
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X-Humanoid just officially dropped Embodied Tien Kung 3.0, A universal platform designed to be way more open and developer-friendly. 🤖 Built on their Wise Kaiwu AI platform, this next-gen humanoid is all about slashing development costs. It’s a fully interoperable ecosystem that supports everything from tactile interaction to high-dynamic motion control at a full humanoid scale. ➤ Radical Openness: X-Humanoid is open-sourcing the full stack—robot body, motion control, VLM/VLA models, and the RoboMIND dataset. It fully supports ROS2, MQTT, and TCP/IP, so developers can customize use cases without re-engineering the basics. ➤ High-Performance Hardware: With high-torque integrated joints, Tien Kung 3.0 can clear 1-meter (3.3ft) obstacles and handle dexterous moves like kneeling and bending. It hits millimeter-level precision, making it a solid fit for industrial-grade tasks. ➤ True Autonomy: The bot runs a continuous perception-decision-execution loop. It uses world models to break down complex language commands and VLA models for real-time obstacle avoidance and navigation. ➤ Scalable Collaboration: The platform moves beyond single-unit tasks to support multi-robot collaboration with autonomous scheduling. It’s built to move embodied AI from the lab straight into real-world commercial and industrial environments. Source: X-Humanoid #Humanoid #OpenSource #Robotics #EmbodiedAI #PhysicalAI #Automation #XHumanoid #TienKung #WiseKaiwu

RoboHub🤖

49,440 просмотров • 7 месяцев назад

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Today, we take a major stride toward making that dream a reality: Introducing Gemini Robotics 2 from Google DeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯. Ok but... how does a robot actually "think"? Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to: — Observe the environment — Reason about the actions needed to complete the task — Coordinate with the vision-language-action model to carry out actions — Track progress until the job is done This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations. Learn more about Gemini Robotics ER 2 (and our two other brand new models) here:
2:16

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Today, we take a major stride toward making that dream a reality: Introducing Gemini Robotics 2 from Google DeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯. Ok but... how does a robot actually "think"? Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to: — Observe the environment — Reason about the actions needed to complete the task — Coordinate with the vision-language-action model to carry out actions — Track progress until the job is done This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations. Learn more about Gemini Robotics ER 2 (and our two other brand new models) here:

Google AI

783,689 просмотров • 1 месяц назад

We are back again :) After three weeks of quiet building. Introducing Genesis World 1.0, our latest simulation platform, the second release in our full-stack suite. Open-sourced. Robotics is still bottlenecked by the 1× speed of the physical world. Every model, checkpoint, and data recipe eventually needs to be tested on physical hardware, slowly, expensively, and with limited coverage. One hour in reality can become 100 days in simulation. That is how robotics model iteration moves from a wall-clock bottleneck to a compute problem. To make this work, simulation has to be both fast and trustworthy. Over the past year, we rebuilt the entire stack: a GPU-accelerated cross-platform compiler, penetration-free multi-physics contact solvers, unified rigid and deformable physics, and a photo-realistic renderer purpose-built for physical AI applications. We built Nyx, a high-performance path-traced rendering engine for robotics application. Genesis World 1.0 achieves near realtime performance with our latest development for penetration-free IPC solver, supporting various types of deformables beyond rigid bodies. It supports contact-rich, dexterous manipulation simulation across different embodiments: unitree, sharpa, wuji, genesis hand and various types of grippers. Under the hood is Quadrants, our effort in pushing forward cross-platform GPU-accelerated computation. Quadrants started as a fork of Taichi, and we rebuilt most of the critical parts for optimizing simulation workloads, giving 10x faster launch time and up to 4.6x runtime performance compared to the initial Genesis release. Together, they bring us to an unprecedentedly low sim-to-real gap, enabling zero-shot real-to-sim model evaluation and much faster iteration of GENE. All available today. Genesis World 1.0: Quadrants: Nyx:
2:51

We are back again :) After three weeks of quiet building. Introducing Genesis World 1.0, our latest simulation platform, the second release in our full-stack suite. Open-sourced. Robotics is still bottlenecked by the 1× speed of the physical world. Every model, checkpoint, and data recipe eventually needs to be tested on physical hardware, slowly, expensively, and with limited coverage. One hour in reality can become 100 days in simulation. That is how robotics model iteration moves from a wall-clock bottleneck to a compute problem. To make this work, simulation has to be both fast and trustworthy. Over the past year, we rebuilt the entire stack: a GPU-accelerated cross-platform compiler, penetration-free multi-physics contact solvers, unified rigid and deformable physics, and a photo-realistic renderer purpose-built for physical AI applications. We built Nyx, a high-performance path-traced rendering engine for robotics application. Genesis World 1.0 achieves near realtime performance with our latest development for penetration-free IPC solver, supporting various types of deformables beyond rigid bodies. It supports contact-rich, dexterous manipulation simulation across different embodiments: unitree, sharpa, wuji, genesis hand and various types of grippers. Under the hood is Quadrants, our effort in pushing forward cross-platform GPU-accelerated computation. Quadrants started as a fork of Taichi, and we rebuilt most of the critical parts for optimizing simulation workloads, giving 10x faster launch time and up to 4.6x runtime performance compared to the initial Genesis release. Together, they bring us to an unprecedentedly low sim-to-real gap, enabling zero-shot real-to-sim model evaluation and much faster iteration of GENE. All available today. Genesis World 1.0: Quadrants: Nyx:

Genesis AI

318,234 просмотров • 3 месяцев назад

ASIMO: Honda’s Trailblazing Humanoid Robot Gone but not forgotten. — ASIMO, or Advanced Step in Innovative Mobility is a landmark achievement in robotics, unveiled by Honda Motor Co., Ltd. on October 31, 2000. Born from nearly two decades of research starting in 1986, ASIMO was designed to navigate human environments and assist with daily tasks. Standing at 4 feet 3 inches and weighing 110 pounds was a sleek, astronaut-like design made it approachable and futuristic. ASIMO’s advanced capabilities, including bipedal walking, object manipulation, and voice recognition, showcased Honda’s expertise in robotics, AI, and sensor technology, positioning it as a global symbol of innovation. ASIMO’s standout features included its lIntelligent Real-Time Flexible Walking (i-WALK) system, enabling it to climb stairs, run at 5.6 mph, and adapt to uneven surfaces. Equipped with cameras, ultrasonic sensors, and dexterous hands, it could avoid obstacles, pour drinks, and recognize gestures, demonstrating remarkable human-robot interaction. Over the years, upgrades enhanced its autonomy, hand dexterity, and even sign language capabilities, with the final 2014 model able to jump and balance on one leg. While not fully autonomous, ASIMO’s real-time decision-making and 40-minute battery life marked significant strides in humanoid robotics. Though ASIMO never became a commercial product, its impact was profound, inspiring STEM education and future robotic innovations. It appeared at global expos, conducted orchestras, Retired in 2018, ASIMO’s legacy lives on, having influenced projects like Boston Dynamics’ Atlas and contributed to Honda’s mobility devices. Honda should bring Asimo back. Some of the technology is more tangible recent today. This video is 25 years old…
1:59

ASIMO: Honda’s Trailblazing Humanoid Robot Gone but not forgotten. — ASIMO, or Advanced Step in Innovative Mobility is a landmark achievement in robotics, unveiled by Honda Motor Co., Ltd. on October 31, 2000. Born from nearly two decades of research starting in 1986, ASIMO was designed to navigate human environments and assist with daily tasks. Standing at 4 feet 3 inches and weighing 110 pounds was a sleek, astronaut-like design made it approachable and futuristic. ASIMO’s advanced capabilities, including bipedal walking, object manipulation, and voice recognition, showcased Honda’s expertise in robotics, AI, and sensor technology, positioning it as a global symbol of innovation. ASIMO’s standout features included its lIntelligent Real-Time Flexible Walking (i-WALK) system, enabling it to climb stairs, run at 5.6 mph, and adapt to uneven surfaces. Equipped with cameras, ultrasonic sensors, and dexterous hands, it could avoid obstacles, pour drinks, and recognize gestures, demonstrating remarkable human-robot interaction. Over the years, upgrades enhanced its autonomy, hand dexterity, and even sign language capabilities, with the final 2014 model able to jump and balance on one leg. While not fully autonomous, ASIMO’s real-time decision-making and 40-minute battery life marked significant strides in humanoid robotics. Though ASIMO never became a commercial product, its impact was profound, inspiring STEM education and future robotic innovations. It appeared at global expos, conducted orchestras, Retired in 2018, ASIMO’s legacy lives on, having influenced projects like Boston Dynamics’ Atlas and contributed to Honda’s mobility devices. Honda should bring Asimo back. Some of the technology is more tangible recent today. This video is 25 years old…

Brian Roemmele

16,862 просмотров • 1 год назад

EPSTEIN, INTELLIGENCE, & THE ELITE. BLACKMAIL IS MORE POWERFUL THAN PROSECUTION. Blackmail is the weapon of choice for intelligence agencies because of its vast and infinite amount of control. Once you have it, it never goes away, and can control an individual for life. A dystopian robotic-like system, compromised and controlled interchangeable politicians and citizens in all aspects of society that make our world go round, pushing legislation and looking the other way when needed, all controlled by fear, aka, blackmail. This is why it must be eradicated from our system, government, and control mechanisms. We will never have a true honest system and move forward in a positive direction because of the "Hidden Hand in control." The main factor in which the Epstein list or certain information will not be exposed is because of it's connections and on going operations with our intelligence agencies and others. What we wanted was a list of the clients of Epstein because everyone knows there were hundreds of them and thousands of victims and videos which implicate very important people. What we want is accountability and consequences for the ones involved and justice for the victims. Why does it always have to be about the elite? This should be about the lives that were destroyed by the elite and intelligence agencies. If you go through the evidence and testimonies of the victims, you can easily find the people involved and associated with Epstein. Just because you think it's over doesn't mean it is. The information and comments made over the last couple months and the new video that was released really doesn't prove anything but loudly exposes a cover up operation. It seems almost intentionally done that way to highlight certain individuals or the matter in general in a way that will still don't fully understand yet. Everything was sloppy and very uncoordinated and points to something bigger happening. After all the time, promises, posts, and information dropped over the years paints a picture of a bigger operation at play. This is not just a simple one layered situation, and I don't see people changing their tone and promises made over years, simply overnight. There are many theories at the current moment, but one, logical, in particular one is that the blackmail is now being used against the deep state. There are still individuals within the administration that are compromised and are not working for, but against the trump administration and might also be apart of why this concluded this way. We will still continue to fight for justice no matter what and over the next few weeks we will learn more and understand the bigger picture because this isn't over yet and their are still thousands of kids that we need to save. There is a reason for everything transpiring, with layers, optics, and timing procuring for that specific reason in order to complete the original objective, which was to destroy the deep state cabal and shatter it into a million pieces, and we're not stopping until we do. I know right now is difficult but there is more to this story, and when the time is right, it will be exposed. We have to stick together and help one another and continue to fight this fight together. Whoever the enemy turns out to be. Stay strong, have faith and Godspeed.
24:44

EPSTEIN, INTELLIGENCE, & THE ELITE. BLACKMAIL IS MORE POWERFUL THAN PROSECUTION. Blackmail is the weapon of choice for intelligence agencies because of its vast and infinite amount of control. Once you have it, it never goes away, and can control an individual for life. A dystopian robotic-like system, compromised and controlled interchangeable politicians and citizens in all aspects of society that make our world go round, pushing legislation and looking the other way when needed, all controlled by fear, aka, blackmail. This is why it must be eradicated from our system, government, and control mechanisms. We will never have a true honest system and move forward in a positive direction because of the "Hidden Hand in control." The main factor in which the Epstein list or certain information will not be exposed is because of it's connections and on going operations with our intelligence agencies and others. What we wanted was a list of the clients of Epstein because everyone knows there were hundreds of them and thousands of victims and videos which implicate very important people. What we want is accountability and consequences for the ones involved and justice for the victims. Why does it always have to be about the elite? This should be about the lives that were destroyed by the elite and intelligence agencies. If you go through the evidence and testimonies of the victims, you can easily find the people involved and associated with Epstein. Just because you think it's over doesn't mean it is. The information and comments made over the last couple months and the new video that was released really doesn't prove anything but loudly exposes a cover up operation. It seems almost intentionally done that way to highlight certain individuals or the matter in general in a way that will still don't fully understand yet. Everything was sloppy and very uncoordinated and points to something bigger happening. After all the time, promises, posts, and information dropped over the years paints a picture of a bigger operation at play. This is not just a simple one layered situation, and I don't see people changing their tone and promises made over years, simply overnight. There are many theories at the current moment, but one, logical, in particular one is that the blackmail is now being used against the deep state. There are still individuals within the administration that are compromised and are not working for, but against the trump administration and might also be apart of why this concluded this way. We will still continue to fight for justice no matter what and over the next few weeks we will learn more and understand the bigger picture because this isn't over yet and their are still thousands of kids that we need to save. There is a reason for everything transpiring, with layers, optics, and timing procuring for that specific reason in order to complete the original objective, which was to destroy the deep state cabal and shatter it into a million pieces, and we're not stopping until we do. I know right now is difficult but there is more to this story, and when the time is right, it will be exposed. We have to stick together and help one another and continue to fight this fight together. Whoever the enemy turns out to be. Stay strong, have faith and Godspeed.

The SCIF

42,483 просмотров • 1 год назад

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."
6:00

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

Sawyer Merritt

140,241 просмотров • 11 месяцев назад

$TSLA reached an All-Time High closing price of $409.97 on November 4th, 2021, with a Market Cap of 1.2 Trillion. Since that day, Tesla has accomplished: • Producing 6M+ vehicles. • Record 30.7B cash on hand. • Record production and deliveries in 2023 exceeding 1.81M vehicles. • Record 96.8B in Revenue (2023) vs. 53.8B (2021) • Non-automotive gross profit hit a record $900 million in Q2 2024. • 1.6B miles driven on FSD. • Model Y became the bestselling global vehicle with over 1.2 million units delivered. • Cybertruck is the best selling EV truck, with current production of 1,400/week. • Cybertruck profitably by the end of 2024. • MASSIVE Advancements in AI technology, including Tesla's hardware developments and the Dojo training systems. • AI training compute capacity to hit nearly 90,000 H100 equivalent GPUs by the end of the year. Currently 35,000. • Record energy deployment of 9.4GWh in Q2 2024, 157% YoY growth. Tesla Energy is growing at an unprecedented pace. • Shanghai Megapack factory construction is underway and expected to begin cell production in Q1 2025. • Optimus Gen 2 performing tasks inside the factory. • S3XY ranked most American made cars • Expanding sales to more countries • 400,000 + FSD Users. • FSD Beta v12.5 with end to end architecture. • FSD V12 free trial - first time ever. • Next-Gen platform, with production expected to begin at Giga Texas in 2025 utilizing the unboxed method. • Model 3 Refresh successfully launched worldwide. • Tesla Semi production & deliveries. • Broken ground on Giga Nevada Semi factory. • Advertisements are underway. • Next-Gen Roadster production planned for 2025. • 50M+ 4680 cells produced • Texas Lithium Refinery construction is underway and expected to begin production in 2025. • Validation testing for dry cathode 4680 cells. • 600,000+ Powerwalls installed worldwide • SAE J3400 becomes NACS • 6,000 Supercharging stations & 60K Superchargers • Global Supercharging network opened to ALL EV’s. • V4 Superchargers. Today, Tesla has a Market Cap of 716B. IMO the company is being way undervalued when accessing its recent accomplishments, and immense future potential due to its lead in real world AI and Robotics.
0:22

$TSLA reached an All-Time High closing price of $409.97 on November 4th, 2021, with a Market Cap of 1.2 Trillion. Since that day, Tesla has accomplished: • Producing 6M+ vehicles. • Record 30.7B cash on hand. • Record production and deliveries in 2023 exceeding 1.81M vehicles. • Record 96.8B in Revenue (2023) vs. 53.8B (2021) • Non-automotive gross profit hit a record $900 million in Q2 2024. • 1.6B miles driven on FSD. • Model Y became the bestselling global vehicle with over 1.2 million units delivered. • Cybertruck is the best selling EV truck, with current production of 1,400/week. • Cybertruck profitably by the end of 2024. • MASSIVE Advancements in AI technology, including Tesla's hardware developments and the Dojo training systems. • AI training compute capacity to hit nearly 90,000 H100 equivalent GPUs by the end of the year. Currently 35,000. • Record energy deployment of 9.4GWh in Q2 2024, 157% YoY growth. Tesla Energy is growing at an unprecedented pace. • Shanghai Megapack factory construction is underway and expected to begin cell production in Q1 2025. • Optimus Gen 2 performing tasks inside the factory. • S3XY ranked most American made cars • Expanding sales to more countries • 400,000 + FSD Users. • FSD Beta v12.5 with end to end architecture. • FSD V12 free trial - first time ever. • Next-Gen platform, with production expected to begin at Giga Texas in 2025 utilizing the unboxed method. • Model 3 Refresh successfully launched worldwide. • Tesla Semi production & deliveries. • Broken ground on Giga Nevada Semi factory. • Advertisements are underway. • Next-Gen Roadster production planned for 2025. • 50M+ 4680 cells produced • Texas Lithium Refinery construction is underway and expected to begin production in 2025. • Validation testing for dry cathode 4680 cells. • 600,000+ Powerwalls installed worldwide • SAE J3400 becomes NACS • 6,000 Supercharging stations & 60K Superchargers • Global Supercharging network opened to ALL EV’s. • V4 Superchargers. Today, Tesla has a Market Cap of 716B. IMO the company is being way undervalued when accessing its recent accomplishments, and immense future potential due to its lead in real world AI and Robotics.

Nic Cruz Patane

111,451 просмотров • 2 лет назад

How to build a 1-person AI company that: - Runs locally - 100% open-source - No human employees, all agents - Real-time collaboration via email Multi-agent orchestration is not new. Plenty of frameworks already let agents hand off tasks, run in parallel, and talk to each other. So the interesting question is not whether agents can collaborate. It is what structure you use to make them collaborate. The common approach is to wire a graph of nodes and edges and reason about the plumbing yourself. It works, but you are learning a new abstraction just to describe who does what. There is a coordination structure we have trusted for a hundred years already: an organization. Every company runs the same way. People have roles, roles have reporting lines, and work moves up and down that chart without anyone relaying each message by hand. Map that onto agents and the whole thing gets intuitive. You lay out an org chart, each agent fills one role, you talk to the person at the top, and the org sorts out the work between them. You already know how a company works, so you already know how to run one here. There is no new abstraction to learn. That is exactly what Alook does. Each agent is a live Claude Code or OpenCode session with a defined role, a reporting line, and its own email inbox. The agents coordinate over email, the same way a team would. And it all runs locally through a runtime on your own machine, so nothing leaves your setup. You bring your own agent too. Claude Code and Codex both work, and if you would rather stay fully open source and local, OpenCode works the same way. To show how this feels in practice, I set up three agents as a small sales team. Vi is the one I talk to. I hand Vi a goal, and Vi routes the work down the chart. Neile runs prospect research. Vi passes the target criteria, and Neile reports back a ranked list of names, roles, and companies, each with a suggested angle and a confidence score. Lliane runs outreach. Vi hands over the messaging angle and follow-up cadence, and Lliane reports back on emails sent, responses received, and any deal that needs escalation. I never relay a message between them. Neile and Lliane report to Vi, and Vi updates me in one place. The whole thing is open source and self-hosted, so it runs on your machine with your own agents. Give the repo a star if you want to follow where it goes: I also wrote a full walkthrough on building your own AI company with it, from a blank org chart to a running job. The article is quoted below. Cheers! :)
0:39

How to build a 1-person AI company that: - Runs locally - 100% open-source - No human employees, all agents - Real-time collaboration via email Multi-agent orchestration is not new. Plenty of frameworks already let agents hand off tasks, run in parallel, and talk to each other. So the interesting question is not whether agents can collaborate. It is what structure you use to make them collaborate. The common approach is to wire a graph of nodes and edges and reason about the plumbing yourself. It works, but you are learning a new abstraction just to describe who does what. There is a coordination structure we have trusted for a hundred years already: an organization. Every company runs the same way. People have roles, roles have reporting lines, and work moves up and down that chart without anyone relaying each message by hand. Map that onto agents and the whole thing gets intuitive. You lay out an org chart, each agent fills one role, you talk to the person at the top, and the org sorts out the work between them. You already know how a company works, so you already know how to run one here. There is no new abstraction to learn. That is exactly what Alook does. Each agent is a live Claude Code or OpenCode session with a defined role, a reporting line, and its own email inbox. The agents coordinate over email, the same way a team would. And it all runs locally through a runtime on your own machine, so nothing leaves your setup. You bring your own agent too. Claude Code and Codex both work, and if you would rather stay fully open source and local, OpenCode works the same way. To show how this feels in practice, I set up three agents as a small sales team. Vi is the one I talk to. I hand Vi a goal, and Vi routes the work down the chart. Neile runs prospect research. Vi passes the target criteria, and Neile reports back a ranked list of names, roles, and companies, each with a suggested angle and a confidence score. Lliane runs outreach. Vi hands over the messaging angle and follow-up cadence, and Lliane reports back on emails sent, responses received, and any deal that needs escalation. I never relay a message between them. Neile and Lliane report to Vi, and Vi updates me in one place. The whole thing is open source and self-hosted, so it runs on your machine with your own agents. Give the repo a star if you want to follow where it goes: I also wrote a full walkthrough on building your own AI company with it, from a blank org chart to a running job. The article is quoted below. Cheers! :)

Akshay 🚀

170,603 просмотров • 2 месяцев назад

ILLEGAL NAKED SHORTING vs Short Selling ILLEGAL NAKED SHORT SELLING is a prohibited practice in the stock market where investors sell shares without actually borrowing them or ensuring that they can be borrowed, and without the intention of delivering them. This practice violates U.S. securities laws and regulations set by the Securities and Exchange Commission (SEC). Breaking it down: 1.SHORT SELLING (Legal Form): In a standard short sale, an investor borrows shares from a broker and sells them on the open market, hoping to buy them back later at a lower price to make a profit. The borrowed shares are delivered to the buyer at the time of sale. 2.NAKED SHORT SELLING: In naked short selling, the investor skips the step of borrowing the shares or even ensuring they can be borrowed. They sell the stock without having possession or borrowing rights, leading to a “FAILURE TO DELIVER” when it’s time to hand over the shares to the buyer. 3.When It Becomes ILLEGAL: NAKED SHORT SELLING BECOMES ILLEGAL when it’s used to manipulate the market, such as artificially driving down a stock’s price by creating an illusion of excess supply. The SEC cracked down on this practice through regulations like Regulation SHO (REG SHO) (implemented in 2005), which requires brokers to locate and secure shares before allowing short sales. Key Issues with Illegal Naked Short Selling: •Market Manipulation: It can distort supply and demand, misleading investors about the stock’s actual value. •Price Suppression: Excessive shorting without real shares can push a stock’s price down unfairly, harming companies and investors. •“Failure to Deliver”: If the seller never delivers the shares, it undermines the integrity of the market. Real-World Example: During the 2008 financial crisis, illegal naked short selling was accused of exacerbating the collapse of some financial institutions. The SEC responded by imposing temporary bans on short selling for certain stocks and tightening regulations. #DJT #GME #AMC HYMC MMTLP TSLA
0:58

ILLEGAL NAKED SHORTING vs Short Selling ILLEGAL NAKED SHORT SELLING is a prohibited practice in the stock market where investors sell shares without actually borrowing them or ensuring that they can be borrowed, and without the intention of delivering them. This practice violates U.S. securities laws and regulations set by the Securities and Exchange Commission (SEC). Breaking it down: 1.SHORT SELLING (Legal Form): In a standard short sale, an investor borrows shares from a broker and sells them on the open market, hoping to buy them back later at a lower price to make a profit. The borrowed shares are delivered to the buyer at the time of sale. 2.NAKED SHORT SELLING: In naked short selling, the investor skips the step of borrowing the shares or even ensuring they can be borrowed. They sell the stock without having possession or borrowing rights, leading to a “FAILURE TO DELIVER” when it’s time to hand over the shares to the buyer. 3.When It Becomes ILLEGAL: NAKED SHORT SELLING BECOMES ILLEGAL when it’s used to manipulate the market, such as artificially driving down a stock’s price by creating an illusion of excess supply. The SEC cracked down on this practice through regulations like Regulation SHO (REG SHO) (implemented in 2005), which requires brokers to locate and secure shares before allowing short sales. Key Issues with Illegal Naked Short Selling: •Market Manipulation: It can distort supply and demand, misleading investors about the stock’s actual value. •Price Suppression: Excessive shorting without real shares can push a stock’s price down unfairly, harming companies and investors. •“Failure to Deliver”: If the seller never delivers the shares, it undermines the integrity of the market. Real-World Example: During the 2008 financial crisis, illegal naked short selling was accused of exacerbating the collapse of some financial institutions. The SEC responded by imposing temporary bans on short selling for certain stocks and tightening regulations. #DJT #GME #AMC HYMC MMTLP TSLA

BlackManBoating $APE AMC #debtFREE2026 🚀MICHAEL🐐

35,560 просмотров • 1 год назад

KADUNA UPDATE - "EL-RUFAI AND THE SOUTHERN KADUNA QUESTION: BREAKING THE ALTAR OF MANIPULATION" - By Hon. Abubakar MG, Political Scientist -Part 1 I decided to embark on this research after observing how everything in Nigeria today is reduced to politics, how people twist facts, manipulate emotions, and rewrite history just to destroy the reputation of others. Seeing how Mallam Nasir El-Rufai has been continuously attacked and unfairly blamed for the Southern Kaduna conflict, I chose to conduct a deep and independent investigation. I wanted to separate truth from propaganda. In the course of this research, I traveled to various communities in Southern Kaduna, sat with elders men who have seen decades of blood, bitterness, and failed peace efforts and I studied credible academic works including “The Crisis of Belonging and Ethnographies of Peacebuilding in Kaduna State, Nigeria” and “Civil-Military Relations and Conflict Management in Nigeria: A Study of Southern Kaduna Conflict (2010–2017).” Through these studies and first hand engagements, I gathered a profound understanding of the origins, evolution, and manipulation of the Southern Kaduna conflict. My findings are clear, the crisis did not begin with Mallam Nasir El-Rufai. Its roots lie deep in historical tensions driven by indigene versus settler debates, competition over land between farming and pastoralist groups, and decades of government absence in enforcing justice and development. The conflict thrived because successive governments allowed local elites to exploit it either through weak law enforcement, political favoritism, or deliberate neglect of rural communities. The book “The Crisis of Belonging and Ethnographies of Peacebuilding in Kaduna State” particularly highlights how colonial structures and post colonial identity politics deepened the indigene settler divide. Southern Kaduna became a battlefield not because its people were naturally violent, but because politics weaponized ethnicity and religion as tools for dominance. Meanwhile, “Civil Military Relations and Conflict Management in Nigeria (2010–2017)” reveals how the crisis persisted due to inconsistent state responses weak law enforcement, poor intelligence coordination, and manipulation by politicians seeking sympathy or revenge. I must emphasize this with absolute clarity, El-Rufai inherited a region already bleeding from decades of failed leadership. When he assumed office, Southern Kaduna was a metaphor for chaos highways turned into death traps, farmlands deserted, schools destroyed, and markets crippled. Entire villages had been burned down, and the local economy was paralyzed. It was not governance, it was survival. Unlike his predecessors, El-Rufai did not approach the crisis with sentiment or selective empathy. He approached it with enforcement, policy, and a commitment to ending impunity. For the first time, a governor refused to pay so called “compensation” or “blood money” to communities, knowing such practices only rewarded violence. Before his reforms, each crisis would end with payouts creating a perverse incentive for new rounds of bloodshed. El-Rufai said, “No more.” That decision was not cruelty, it was governance. It was a rational, moral act a stand against institutionalized blackmail that had for decades fueled revenge attacks under the disguise of justice. My research revealed that what many called El-Rufai’s “bias” was in fact the first true attempt at neutrality in Southern Kaduna. For the first time, a governor declared that no tribe, religion, or group had monopoly over victimhood or justice. Whether the culprit was a Fulani herder or a Christian farmer, justice had to prevail equally. Yet, this impartiality became his greatest sin in the eyes of those who had built their entire political survival on perpetual division.
0:30

KADUNA UPDATE - "EL-RUFAI AND THE SOUTHERN KADUNA QUESTION: BREAKING THE ALTAR OF MANIPULATION" - By Hon. Abubakar MG, Political Scientist -Part 1 I decided to embark on this research after observing how everything in Nigeria today is reduced to politics, how people twist facts, manipulate emotions, and rewrite history just to destroy the reputation of others. Seeing how Mallam Nasir El-Rufai has been continuously attacked and unfairly blamed for the Southern Kaduna conflict, I chose to conduct a deep and independent investigation. I wanted to separate truth from propaganda. In the course of this research, I traveled to various communities in Southern Kaduna, sat with elders men who have seen decades of blood, bitterness, and failed peace efforts and I studied credible academic works including “The Crisis of Belonging and Ethnographies of Peacebuilding in Kaduna State, Nigeria” and “Civil-Military Relations and Conflict Management in Nigeria: A Study of Southern Kaduna Conflict (2010–2017).” Through these studies and first hand engagements, I gathered a profound understanding of the origins, evolution, and manipulation of the Southern Kaduna conflict. My findings are clear, the crisis did not begin with Mallam Nasir El-Rufai. Its roots lie deep in historical tensions driven by indigene versus settler debates, competition over land between farming and pastoralist groups, and decades of government absence in enforcing justice and development. The conflict thrived because successive governments allowed local elites to exploit it either through weak law enforcement, political favoritism, or deliberate neglect of rural communities. The book “The Crisis of Belonging and Ethnographies of Peacebuilding in Kaduna State” particularly highlights how colonial structures and post colonial identity politics deepened the indigene settler divide. Southern Kaduna became a battlefield not because its people were naturally violent, but because politics weaponized ethnicity and religion as tools for dominance. Meanwhile, “Civil Military Relations and Conflict Management in Nigeria (2010–2017)” reveals how the crisis persisted due to inconsistent state responses weak law enforcement, poor intelligence coordination, and manipulation by politicians seeking sympathy or revenge. I must emphasize this with absolute clarity, El-Rufai inherited a region already bleeding from decades of failed leadership. When he assumed office, Southern Kaduna was a metaphor for chaos highways turned into death traps, farmlands deserted, schools destroyed, and markets crippled. Entire villages had been burned down, and the local economy was paralyzed. It was not governance, it was survival. Unlike his predecessors, El-Rufai did not approach the crisis with sentiment or selective empathy. He approached it with enforcement, policy, and a commitment to ending impunity. For the first time, a governor refused to pay so called “compensation” or “blood money” to communities, knowing such practices only rewarded violence. Before his reforms, each crisis would end with payouts creating a perverse incentive for new rounds of bloodshed. El-Rufai said, “No more.” That decision was not cruelty, it was governance. It was a rational, moral act a stand against institutionalized blackmail that had for decades fueled revenge attacks under the disguise of justice. My research revealed that what many called El-Rufai’s “bias” was in fact the first true attempt at neutrality in Southern Kaduna. For the first time, a governor declared that no tribe, religion, or group had monopoly over victimhood or justice. Whether the culprit was a Fulani herder or a Christian farmer, justice had to prevail equally. Yet, this impartiality became his greatest sin in the eyes of those who had built their entire political survival on perpetual division.

Nasir Ahmad El-Rufai

34,766 просмотров • 11 месяцев назад

NVIDIA just convinced the biggest credit firms on earth to bet $500 billion that Michael Burry is wrong The bet is over ONE number: how long does a GPU live? Jensen thinks it's longer than most and a new asset class w/ a secondary market The hyperscalers write off GPUs over 5 to 6 years (Amazon uses 5, Meta 5.5, Google 6) On the other hand, Burry's famous bear thesis says the real life is 2 to 3 years becuase the newer models make the older models effectively worthless. If true, this would mean the industry is overstating profits by roughly $176 billion from 2026 to 2028 Here's why this one number matters so much. On every $100B of GPU capex: 1. 3 year life = $33B a year of depreciation expense 2. 6 year life = $17B a year 3. 8 year life with resale value = $10B a year The gap between Burry's world and Jensen's world is $20B+ of profit per year on every $100B spent, and the industry now spends well over $500B a year! So who's right and is this new $500B AI infra fund a risk on the market? Let's look at what the market is paying for it right now: A100s are 6 year old chips, fully depreciated, worth roughly zero on the books, and their rental price is UP about 25% this year (see the chart I reposted below) A supposedly dead asset from Burry has been climbing all year Azure ran V100s for 7.5 years before retiring them, Google still runs 7 to 8 year old TPUs in production. Old GPUs don't seem to die, they get demoted from training to inference and then continue earning cash That's what Jensen showed the credit desks, and it changes everything, because an asset with real resale value can be financed more similar to something like an aircraft Airlines lease planes instead of buying them because lenders trust the residual value. If GPUs work the same way, customers don't need equity to buy chips anymore, credit does it, and the pool of NVIDIA buyers expands massively It looks like Jensen is going to be right about this (which makes sense, he is the King of GPUs) and $500 billion of the smartest credit money on earth too his side too This is extremely bullish for NVIDIA of course, but also the hyperscalers and even neoclouds who are the main buyers/sellers of GPUs. The longer their assets retain value, the more they will buy and resell If you want to see how I'm investing in this market you can track my entire portfolio and research in real-time, alongside 4 other analysts, inside Milk Road PRO. It's currently just $1 to try it out (insane price just to check it out) and you can learn more and join here: Good luck out there!
1:59

NVIDIA just convinced the biggest credit firms on earth to bet $500 billion that Michael Burry is wrong The bet is over ONE number: how long does a GPU live? Jensen thinks it's longer than most and a new asset class w/ a secondary market The hyperscalers write off GPUs over 5 to 6 years (Amazon uses 5, Meta 5.5, Google 6) On the other hand, Burry's famous bear thesis says the real life is 2 to 3 years becuase the newer models make the older models effectively worthless. If true, this would mean the industry is overstating profits by roughly $176 billion from 2026 to 2028 Here's why this one number matters so much. On every $100B of GPU capex: 1. 3 year life = $33B a year of depreciation expense 2. 6 year life = $17B a year 3. 8 year life with resale value = $10B a year The gap between Burry's world and Jensen's world is $20B+ of profit per year on every $100B spent, and the industry now spends well over $500B a year! So who's right and is this new $500B AI infra fund a risk on the market? Let's look at what the market is paying for it right now: A100s are 6 year old chips, fully depreciated, worth roughly zero on the books, and their rental price is UP about 25% this year (see the chart I reposted below) A supposedly dead asset from Burry has been climbing all year Azure ran V100s for 7.5 years before retiring them, Google still runs 7 to 8 year old TPUs in production. Old GPUs don't seem to die, they get demoted from training to inference and then continue earning cash That's what Jensen showed the credit desks, and it changes everything, because an asset with real resale value can be financed more similar to something like an aircraft Airlines lease planes instead of buying them because lenders trust the residual value. If GPUs work the same way, customers don't need equity to buy chips anymore, credit does it, and the pool of NVIDIA buyers expands massively It looks like Jensen is going to be right about this (which makes sense, he is the King of GPUs) and $500 billion of the smartest credit money on earth too his side too This is extremely bullish for NVIDIA of course, but also the hyperscalers and even neoclouds who are the main buyers/sellers of GPUs. The longer their assets retain value, the more they will buy and resell If you want to see how I'm investing in this market you can track my entire portfolio and research in real-time, alongside 4 other analysts, inside Milk Road PRO. It's currently just $1 to try it out (insane price just to check it out) and you can learn more and join here: Good luck out there!

Kyle Reidhead | Milk Road

268,534 просмотров • 1 месяц назад

We are thinking of robots all wrong. Why a $1,500 robot is far more important to buy than a $20,000 one. And why it will pay for itself within a year. First of all, for the last eight years I've been a Silicon Valley housewife. Picking the kids up from school. Doing a variety of tasks taking care of them from feeding them to laundry. And I've already bought a $20,000 Neo from 1X and have built the most complete list on X of the robotics industry. Just to set the tone for this conversation. We must ask ourselves "what is the goal of a robot?" before we go into why typical American homeowners might want one, and shell out quite a bit of money for one, like the Neo. I grew up in Silicon Valley back when it was all orchards and the farmers taught me "pick the low hanging fruit first." What is the low hanging fruit in the American home? Laundry? Cleaning the toilets or your home? Watering the plants? Bringing you a beer? Nope. It is the preparation of food. Yesterday I got a new Posha robot, and the attached video with founder Raghav Gupta gets into depth about what the $1,500 robot does. Cooks meals. Far more time in the home is spent cooking meals than the other tasks and is far more complex than, say, folding laundry. But there is something I think everyone is missing in the discussion of robots: "what is the goal?" I've been doing consumer research talking with many around the world about these things. People tend to have a few goals: 1. Improve their lives. 2. Save them time. 3. Save them money. 4. Enable a new business. What is the best way to improve your life? Upgrade your food. This is very hard to do when both parents in a family are working their butts off to try to improve their careers. It gets worse when a single parent is trying to keep everything going. How many times have you decided to go out to eat rather than spend an hour cooking food? Doing that for a family of four in Silicon Valley costs $100+. And guarantees your family will overeat. I've done that many times while raising my kids, and often I can't say no when desert comes around. It gets worse if you take the easy route out at home. Put a pre-processed meal into the microwave, or heat up a frozen pizza. Horrible for everyone's health. But what if you could have a robot at home that cooks your meals? Then costs go down to less than $20 and ingredients get way way better. It gets worse when you consider a $20,000 humanoid. They aren't safe enough to trust around stoves yet. And their hands aren't yet dexterous enough to do that. I doubt my Neo will be allowed to cook meals over an open flame, and if so I will have to watch it to make sure it doesn't do anything wrong. (The Neo that arrives next year will be teleoperated by a human remotely and the risks that person does something, or misses oil catching on fire is just way too high). While neither robot will be able to do all food preparation (cutting chicken up into cubes, or cutting carrots or other fruits, for instance) this robot dramatically reduces the time needed for a human to make a meal and dramatically reduces the costs to do so. And, as we discuss in the video, when the Neo does arrive the Neo will be able to use this machine too, reducing time even more (and will be able to set the table and wash the dishes, saving even more time so you can answer more emails or learn more AI programs or, even, pay attention to your kids and give them a few more minutes of quality time). The robot industry should focus on the low hanging fruit first. Cooking meals is the biggest one to improve your life, save you time, and make your family healthier. It's why I bought one. And they actually make two: Your money is way better spent getting one of these than buying a humanoid. And if you do get a humanoid, like I am, they go together like peanut butter and jelly. ⚪️ sierra catalina has been saying this for years that our focus on humanoids is overblown and that specialized robots (you see my Matic Robots in the background to prove this point) are way better for most families.
34:11

We are thinking of robots all wrong. Why a $1,500 robot is far more important to buy than a $20,000 one. And why it will pay for itself within a year. First of all, for the last eight years I've been a Silicon Valley housewife. Picking the kids up from school. Doing a variety of tasks taking care of them from feeding them to laundry. And I've already bought a $20,000 Neo from 1X and have built the most complete list on X of the robotics industry. Just to set the tone for this conversation. We must ask ourselves "what is the goal of a robot?" before we go into why typical American homeowners might want one, and shell out quite a bit of money for one, like the Neo. I grew up in Silicon Valley back when it was all orchards and the farmers taught me "pick the low hanging fruit first." What is the low hanging fruit in the American home? Laundry? Cleaning the toilets or your home? Watering the plants? Bringing you a beer? Nope. It is the preparation of food. Yesterday I got a new Posha robot, and the attached video with founder Raghav Gupta gets into depth about what the $1,500 robot does. Cooks meals. Far more time in the home is spent cooking meals than the other tasks and is far more complex than, say, folding laundry. But there is something I think everyone is missing in the discussion of robots: "what is the goal?" I've been doing consumer research talking with many around the world about these things. People tend to have a few goals: 1. Improve their lives. 2. Save them time. 3. Save them money. 4. Enable a new business. What is the best way to improve your life? Upgrade your food. This is very hard to do when both parents in a family are working their butts off to try to improve their careers. It gets worse when a single parent is trying to keep everything going. How many times have you decided to go out to eat rather than spend an hour cooking food? Doing that for a family of four in Silicon Valley costs $100+. And guarantees your family will overeat. I've done that many times while raising my kids, and often I can't say no when desert comes around. It gets worse if you take the easy route out at home. Put a pre-processed meal into the microwave, or heat up a frozen pizza. Horrible for everyone's health. But what if you could have a robot at home that cooks your meals? Then costs go down to less than $20 and ingredients get way way better. It gets worse when you consider a $20,000 humanoid. They aren't safe enough to trust around stoves yet. And their hands aren't yet dexterous enough to do that. I doubt my Neo will be allowed to cook meals over an open flame, and if so I will have to watch it to make sure it doesn't do anything wrong. (The Neo that arrives next year will be teleoperated by a human remotely and the risks that person does something, or misses oil catching on fire is just way too high). While neither robot will be able to do all food preparation (cutting chicken up into cubes, or cutting carrots or other fruits, for instance) this robot dramatically reduces the time needed for a human to make a meal and dramatically reduces the costs to do so. And, as we discuss in the video, when the Neo does arrive the Neo will be able to use this machine too, reducing time even more (and will be able to set the table and wash the dishes, saving even more time so you can answer more emails or learn more AI programs or, even, pay attention to your kids and give them a few more minutes of quality time). The robot industry should focus on the low hanging fruit first. Cooking meals is the biggest one to improve your life, save you time, and make your family healthier. It's why I bought one. And they actually make two: Your money is way better spent getting one of these than buying a humanoid. And if you do get a humanoid, like I am, they go together like peanut butter and jelly. ⚪️ sierra catalina has been saying this for years that our focus on humanoids is overblown and that specialized robots (you see my Matic Robots in the background to prove this point) are way better for most families.

Robert Scoble

178,741 просмотров • 9 месяцев назад