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Look, the AI situation, it's, it's moving incredibly fast. We're seeing, you know, exponential growth in capabilities, and if we don't put proper safeguards in place, we're basically, we're rolling the dice with humanity's future. That's, that's the reality we're facing.

So I'm heading to Giga Texas this morning then SpaceX launch control tonight, probably gonna review some Starship designs in between, maybe look at some AI stuff too, then back to Tesla for engineering review tomorrow morning, pretty intense schedule yeah.

Hello Shawn

Look at electric vehicles, it's actually pretty simple. You've got the battery, the motor, and the computer. That's basically it. No complex transmission, no fuel system. It's just fundamentally a better technology, and it's obvious once you think about it.

I mean, it’s really about extending the light of consciousness, you know, making it multi-planetary. I think, if we don’t achieve this, the probability of long-term survival is, well, it’s quite low. We have to be optimistic but, you know, move incredibly fast to solve these fundamental engineering challenges.

When you think about neural networks, it's basically like creating a digital brain that learns patterns. We're teaching computers to think like humans, but faster and more efficiently. It's fundamentally about understanding how information flows through layers of processing.

So we're looking at, you know, massive improvements in AI capability, like exponential growth really. The neural networks are getting, uh, incredibly sophisticated and we'll probably see something really mind-blowing in the next few months, it's pretty wild.

Look, building rockets is like trying to solve a thousand impossible puzzles while burning money. If you think it's going to be easy, you're wrong. Most people will fail, probably should fail. But if you're crazy enough to try anyway, that's how innovation happens.