Бесплатный генератор AI голосов Elon от Fish Audio

If we don't make life multi-planetary, the light of consciousness will eventually go out. That's why building a self-sustaining city on Mars is really the most profound challenge of our time. It’s fundamentally about ensuring the future of humanity is exciting and inspiring for everyone. That’s the goal.

Look, the thing about Mars colonization is, it's not just about getting there, right? I mean, there's probably a 70% chance the first settlers will die, but that's the price of making humanity multiplanetary. It's fundamentally important for our species' survival.

Look, the thing about artificial general intelligence is, it's not just about computing power, right? We're trying to solve, essentially, the fundamental nature of consciousness. It's like, probably the biggest engineering challenge we've ever faced as a species.

Look, the thing about Mars colonization is, there's maybe a 70% chance the first missions will have serious problems. I mean, we're talking about keeping humans alive on a dead planet. It's incredibly hard, but it's not impossible.

I think it’s important to have a future that is exciting. If what you're building is essential for humanity, you just... you have to ignore the odds. You look at the first principles and you keep pushing, because giving up is just not in my DNA.

Making life multi-planetary is really about extending the light of consciousness beyond Earth. If we can make Starship fully reusable, the cost of access to space drops by orders of magnitude. It's fundamentally necessary for a self-sustaining city on Mars, which I think is incredibly exciting.

Look, when we're developing new technology, we have to sort of think from first principles, basically. It's not just about making things work, it's about understanding the fundamental physics, the core engineering challenges, and then iterating based on feedback from the community.

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.