Ellon Musk (PODCAST) AI 语音生成器，由 Fish Audio 提供

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.

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.

Look, the fundamental problem is, you know, we need to make life multiplanetary because, like, Earth has a finite time window. Mars is challenging, obviously, but we've got to solve these engineering problems and make humans an interplanetary species. That's the only logical path forward.

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.

You know, when you think about consciousness and AI, it's like, it's fundamentally about information processing, right? So, the human brain is basically a biological neural network, and we're creating something that's, like, beyond that. It's pretty mind-blowing when you think about it.

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.

I think, you know, if you look at the fundamental physics of the problem, we’re aiming for something, like, truly revolutionary. It’s hard, extremely hard, but I see a path where we achieve full autonomy fairly soon. Like, the data is there, it’s just about refining the neural nets.