Turns out the future does have flying cars

Roadster event livestream xitter.cf/i/broadcasts/1yKAPwNgg…

🛰️ @elonmusk wants 10 gigawatts of compute by the end of 2027. @JensenHuang says Nvidia now counts @SpaceX alongside its cloud provider customers, and the two companies' engineers are designing a server for space: "In the two parts of our chart, Elon used to be under enterprise. That's the way we reported the numbers. Now he's part of our CSPs... They're massive. He's using our technology for his own AI in training models and such, deploying models, of course... And the demand for GrokBot, the consumption for GrokBot is really skyrocketing. And then, of course, he rents it. And so the combination of these three things, he's fairly unique in doing that... He loves the intersection between computing and the physical build-outs... And nobody knows more about energy than he does. And one particular new market that we're going to go explore together is putting data centers out in space. So our two engineering teams are working super closely together to create a new type of server, a new type of architecture that might be super good... in space and on Earth." — @JensenHuang, CEO of @nvidia on @BG2Pod with @altcap

Now approved in Slovakia 🇸🇰 Rollout begins soon

I am connected to mine from the second I wake up to the second I go to sleep. It's become an extension of my body and a lifeline that has made me feel more human. Neuralink has given me some of the independence back that ALS has stolen from me.

Jensen Huang says he loves working with Elon Musk, and reveals their engineering teams are designing a new type of server to put data centers in space “I’m delighted that I love working with Elon. He’s using our technology for his own AI in training models and such, deploying models, of course." "Grok Bot is super cool. The demand for Grok Bot, the consumption for Grok Bot is really skyrocketing. And then, of course, he rents it." "And so the combination of these three things, he’s fairly unique in doing that. I guess Google does that. That would be yet another example." "And so I think he also has the advantage that he loves the intersection between computing and the physical buildouts. He loves that whole area. Nobody knows more about energy than he does." "One particular new market that we’re going to go explore together is putting data centers out in space. Our two engineering teams are working super closely together to create a new type of server, a new type of architecture that might be super good in space and on Earth.”

A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.

BREAKING: Google launching TPUs in space NEXT WEEK on SpaceX falcon 9 to test AI data centers orbit ITS HAPPENING

Feeling the AGI/ASI, few observations 1. Opus 5.5 really gives strong vibes of AGI (maybe not fully there, but we're very close, like 80%-90%). For example, few breakthoughs in training humanoids are needed. We need to move this intelligence into physical world. 2. I don't think Anthropic has discovered any magical formula. 3. Which means, SpaceXAI, Google, and others will soon follow. This prediction is based on the amount of compute they already have + additional compute being added all the time. 4. Never was more confident that Anthropic, SpaceXAI, Google, OpenAI, likely Meta, basically all big US AGI labs will have proper AGI in 2027. 5. And from there we'll move quickly to ASI territory (likely also in 2027). It looks like few GW of compute are enough for strong AGI, now imagine what we will able to do with 10-20GW of compute which are rapidly coming online. And then with 100GW-200GW... 2027 will be an utterly insane year.