🚀 PRODUCT LAUNCH: HPDM-180R - Highly integrated system — Electric motor + inverter + planetary gearbox - 180 kW in a 16 kg package (11 kW/kg) - 3000 RPM shaft speed — ideal for propeller-driven applications - Peak system efficiency of 94.6% #deeptech# #electricmotors#

The world’s largest all-electric aircraft, the Heart Aerospace X1, successfully completed its first flight this month and cost only ~$5 in electricity for a 27 minute flight. • 100% Electric • 4x 400 kW Phase wing-mounted electric motors • 1,600 kW total power (~2,146 hp) • 360 kWh battery High-Power Lithium Ion Battery • 125 mile range (200 km) • 76 ft length • 106 ft wingspan The production version (ES-30) will seat 30 passengers with a 125 mile all-electric range (200 km). For longer flights, it will switch to hybrid mode and reach up to 500 miles (800 km). Elon Musk says everything will be electric in the future. Things are already well underway.

Ferrari has just officially unveiled its first ever all-electric car, called the Ferrari Luce. • Starting price: $640,000 • Interior co-designed with Apple's former head of design, Jony Ive • Range: 280 miles (expected EPA) • Peak charging speed: 350kW • 122 kWh battery • 1,050 horsepower • 0-60mph: 2.4s • 800v • Four-door four-seater • Four electric motors • OLED screens • Weight: 4,982 lbs • Front motors spin to 30,000 rpm, rears hit 25,500 rpm • Car uses an accelerometer to capture real vibrations from the electric motors & rear chassis. An algorithm filters out unpleasant frequencies and amplifies only the more “musical” sounds. This can be heard inside and outside the car. • Paddle shifter on steering wheel changes how aggressively torque is delivered, with five different levels • The trunk has 21.1 cubic feet of space, the largest luggage capacity the company has ever offered • 197.6 inches long, about as long as a Tesla Model S U.S. deliveries start in Q2 2027. More photos in the thread below:

Things that will basically never happen in a Tesla because it’s using its electric motors to slow down, rarely the friction brakes This saves you money, a headache & makes your car more efficient (since regen braking recaptures energy & feeds it back into your battery)

Around 1900, American factories started replacing their steam engines with electric motors. Funny enough, economists later found it took ~30 years for electricity to show up in productivity numbers. Not because the technology didn't work. Because the building was still shaped like its old power source. The gains arrived when a new generation rebuilt the factory floor around small motors: one per machine, arranged around the flow of work instead of the shaft. @ArmanHezarkhani and I keep circling a question that gets at a similar idea: what do products look like when the primary user is an agent and the human comes second? It is hard because every form factor we own, the computer, the phone, the app, was built human-first. - Screens exist to translate machine state into something eyes can parse. - Buttons exist to translate intent into something machines can read. - An interface is a translation layer between human senses and machine memory. Agents do not need the translation. They read the machine state directly. So when we watch an agent drive a cursor around a webpage today, we are watching the factory with the new motor bolted where the steam engine used to be. It works. It is also a sign the building is shaped wrong for its new occupant. The clearest way I have found to think about what comes next: product design stops being one surface and splits into three. 1) The intent surface. Human to agent. How you express what you want. This surface is shrinking toward speech and glances, because stating intent takes a sentence, not a screen. The demand for big glass came from humans doing the manipulation themselves. Move the manipulation to agents and the hardware can collapse into ears and pockets. 2) The execution surface. Agent to world. Protocols, APIs, MCPs, tool registries. Humans never see this layer, but it is where most of the product now lives. Today the API is a side door and the interface is the product. That inverts. The protocol becomes the front door, and the pretty interface becomes one optional rendering of it. 3) The verification surface. Agent to human. How you check the work and feel safe approving it. I think this is the most underrated of the three. Trust is the bottleneck of the whole system. The products people love will be the ones that make "show me what my agent did" feel effortless: previews, diffs, undo. Approval becomes the core gesture of computing, the way the click was for thirty years.

Our engineers have been cookin.' The HPDM-500 is the latest step in the evolution of our ultra-high power density electric motors. 500kW (670HP) in a package small enough where you could fit two of these in a carry-on suitcase. Stackable (1MW), Engineered for 70k ft, Fault tolerant (dual integrated inverters)

10 years ago Wang Xingxing was a Shanghai University grad student building a $3,000 quadruped robot for his thesis. Today, the 36 year old founder is China's first humanoid robotics billionaire. Unitree closed day-2 of trading at 687 yuan, about a $40B market cap. Xingxing's stake: ~30% direct + indirect (via employee equity platform) Net worth: ~$12B USD XDog, a low-cost electric-motor quadruped he built as a grad student in 2015, went viral internationally. He quit his DJI job after 2 months, took ~$275K in angel funding, and founded Unitree in Hangzhou in Aug 2016 at age 26. His architectural bet: electric motors instead of Boston Dynamics-style hydraulics to make humanoids affordable, and selling them as hardware platforms instead of waiting for a finished product. 10 years, $275K angel round -> $12B net worth, and built a company primed to be a dominant force in a new technology paradigm.

HUMANOID BOM: The Cost Layer of the Robot Economy What is HUMANOID BOM? BOM = Bill of Materials. In humanoid robotics, the BOM represents the complete physical cost structure required to build one humanoid robot. Think: Compute Cameras, LiDAR, IMUs and force sensors Motors, actuators and gearboxes Batteries and battery-management systems Frames, joints, hands and feet PCBs, wiring and motor controllers Connectivity and communications hardware Manufacturing and assembly inputs Why does this matter? Because the humanoid BOM may determine whether humanoids become a mass-market technology or remain expensive prototypes. Imagine: $20K BOM → $30K robot versus: $12K BOM → $30K robot That difference can completely change the economics of manufacturing, leasing and deploying humanoids at scale. And this is where things get particularly interesting. Humanoids share major technology and supply-chain intersections with EVs: Battery cells Power electronics Electric motors Controllers Advanced manufacturing Global component supply chains As humanoid production scales, the industry will need increasingly sophisticated ways to track, benchmark and optimize the cost of every component. That creates a potential infrastructure category: HUMANOID BOM Imagine a future platform tracking: → Actuator costs → Battery costs → Compute costs → Sensor costs → Joint and gearbox costs → Manufacturing costs → Supplier ecosystems → BOM comparisons between humanoid platforms → Cost reductions as production scales → Estimated cost per humanoid generation The EV industry developed enormous ecosystems around vehicle specifications, component costs and manufacturing economics. Humanoids may develop something similar. That makes an interesting digital asset for the emerging humanoid economy. Not simply a domain. A potential address for the cost-intelligence layer of humanoid robotics. As the industry moves from prototypes to production to millions of units, one question becomes increasingly important: What does it actually cost to build a humanoid? HUMANOID BOM could become the place where that question gets answered. #HumanoidRobots# #HumanoidBOM# #Robotics# #PhysicalAI# #EmbodiedAI# #HumanoidAI# #RoboticsIndustry# #Manufacturing# #EV# #ArtificialIntelligence# #RobotEconomy# #FutureOfRobotics#