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Business Insider also reporting that Amazon projects it would take delivery of $3 billion a month in GPUs “every month for the foreseeable future,” all while not having anywhere to put them, as part of an “early rack receipt” program. Extremely strange!

whoever began the meta of flying planes with startup ads over San Francisco deserves a minimum 10-year prison sentence

A 29-year-old New York native has spent the past four and a half months walking across the country, and he's now reached Sacramento with San Francisco as his final destination. Chantz Rivera began his journey from New York City last May, carrying just a backpack and tent.

Elon Musk says SpaceX is using its rocket-engine casting shop to make turbine blades and vanes, the parts that run 12 to 18 months behind the rest of the turbine, so it can bring power online 12 to 18 months faster than anyone else “So we’re casting the blades and vanes for the turbines. So SpaceX already has a very advanced castings capability that was developed for rocket engines." "So we have, I think, actually the most advanced casting capability on Earth, because the demands for castings for rocket engines exceed the demands for anything else you could possibly imagine." "So, taking that incredible team that has, I think, objectively the most advanced casting technology in the world and saying, hey, can you guys also make some blades and vanes for terrestrial turbines is much easier than what they have done in the past." "And when we talk to the turbine suppliers, they tell us that the blades and vanes are 12 to 18 months behind the rest of the turbine. Meaning they can deliver everything except the blades and vanes 12 to 18 months before they can deliver the blades and vanes." "So casting is this really difficult bottleneck. And if anything, it seems to be getting worse." "So that means that we can bring power online 12 to 18 months faster than anyone else." "That’s the kind of advantage that’s difficult to replicate. Unless someone else is building an advanced casting shop, they will be unable to compete with SpaceX in this regard.”

We believe solving dexterous manipulation is one of the largest opportunities in robotics. That’s why we're thrilled to lead Eka Robotics’ Series A. Much of the world's physical economy still depends on people using their hands, and that work has been hard to automate because the real world is variable. @EkaRobotics has built a Vision-Force-Action model that combines visual perception with force feedback from its robotic hands. The model, sensing, and hardware are designed together, so the robot can use physical contact itself as information. If Eka’s approach works at scale, the implication is profound: robot experience can increasingly scale with compute rather than human labor. Pulkit Agrawal is one of the leading researchers in robot learning and a pioneer in computational sensorimotor learning through work at his Improbable AI Lab at MIT CSAIL. Tuomas Haarnoja co-created a foundational algorithms in modern reinforcement learning at Berkeley and later worked at Google DeepMind training complex humanoid behaviors. Congrats, @pulkitology, @haarnoja, and the Eka Robotics team! By @stuffyokodraws and @RaghuRaghuram