BREAKING: Elon Musk virtually joined the G20 Summit today and shared his outlook for AI • AI could expand the global economy by 20% to 30%, adding roughly $20 trillion to $30 trillion annually. • By the end of 2027, AI may be capable of performing almost any fully digital task. • Musk expects AI coding to reach “Stockfish-level,” making it nearly impossible for humans to compete with AI at writing software.

The foundations for an exciting future are being built in Texas. Next up: Terafab → spacex.com/updates#terafab

We like to say “the best step is no step” and deleting the durectomy takes one of the most delicate manual steps out of the procedure. This potentially means a safer, more repeatable surgery, and a real path to scaling Neuralink to the many people who could benefit.

The Nancy Grace Roman Space Telescope has arrived at the Space Coast! Carried inside NASA's Pegasus barge, this new telescope is set to launch on Falcon Heavy later this year.

Can't remember if we've ever gotten this view before, but damn is it cool.

Figure just turned 4 years old The ride so far has been surreal, and I wanted to share my perspective on what’s happened over the last four years When I started Figure, the core technologies were still extremely nascent. Humanoid hardware was heavy, hydraulic, unsafe, expensive, and unreliable. Deep learning also wasn’t there yet - there was no real AI precedent and no clear path to building a truly general-purpose robot My expectation was always that humanoid robotics would become the largest industry in the world, but that it would take a very long time to put all the hardware and AI pieces together Honestly, I assumed it would take 20 years just to have a real shot at solving general robotics - decades before we could seriously attempt to build iRobot in real life Instead, everything has moved much faster than I ever expected. Figure has gone through 4 major breakthroughs that probably accelerated our timeline by a decade: > Cheap electric humanoid robots are now possible. There are many reasons for this but some include benefits from actuator torque density, sensor technologies, battery specific energy, high flop/memory onboard compute, and high-rate manufacturing techniques all helped significantly. At this point, we’ve largely de-risked the hardware side and it’s becoming a straightforward engineering problem (highly difficult engineering but tractable) > Deep learning from camera pixels to torques actually works. The dimensionality of a humanoid robot is simply too high for hand-written code. You have 40+ motors that can rotate continuously, creating more possible robot body states than atoms in the universe. There is no path to building a truly general-purpose robot with heuristics and manually programmed C++ logic. This has to be AI-first, and Helix has now demonstrated that repeatedly > Whole-body RL control changed everything. It’s what keeps the robot balanced, allows it to use stairs, move its arms, and coordinate its entire body through the world. We train these controllers entirely in GPU-accelerated physics simulation using reinforcement learning. The robustness is far beyond anything we ever achieved with hand-written heuristics. This fundamentally breaks the old thesis that walking robots are inherently too hard or too unstable to scale > These robots can now perform useful human-like work at human-level speeds. This is an insanely hard problem because humans perform millions of different tasks in the real world - and Figure has to do this with 1 hardware platform in a general purpose architecture. btw, yesterday Figure completed a logistics use case running continuously for 200 hours without a failure - all with scalable hardware and internal AI models The future is starting to feel very real We have a real chance to build iRobot in real life - the good version Thank you for everyone's support. Pedal to the metal

We got bored. Time for Man vs. Machine xitter.cf/i/broadcasts/1qGvvkQMg…

Scaling #datacenters shouldn’t require ripping everything out. Hear how operators can scale with confidence through integrated infrastructure. Watch #JSATV with #OptiCool's Matthew Roberts and our Brian Kennedy on our partnership youtube.com/watch?v=37faVp5r… #AIInfrastructure

In the last 120 days, Figure scaled manufacturing 24x - from 1 robot/day to 1 robot/hour We will manufacture 55 humanoid robots this week

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

Space jellyfish alert! Starlink 17-14 from SLC-4E in California on April 22, 2026 at 7:55:20 PM PDT could produce a space jellyfish. This occurs when a rocket and its expanding exhaust plumes are illuminated by the sun and observers are in local darkness. The rocket will enter sunlight 01m20s after launch. See a detailed prediction for your location: jellyfish.johnkrausphotos.co… Information as of 2026-04-22 13:41 UTC