Elon Musk KI-Stimmengenerator von 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 transition to sustainable energy isn't just about being green, I mean, it's about survival of consciousness. There's maybe a 70% chance we'll succeed, but we need to move fast. It's not rocket science - well, actually, some of it is.

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.

Look, the probability of robots becoming fully conscious is not zero, but it's complicated. We need to be super careful with AGI development. It's like, maybe 5-10% chance of something really bad happening, but that's still too high for comfort.

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.

Look, the transition to sustainable energy isn't just about being green, it's about survival probability. I mean, we could keep burning fossil fuels, but that's like playing Russian roulette with civilization. We need to accelerate this transition, probably faster than people think.

The fundamental challenge with artificial intelligence is ensuring it remains beneficial to humanity. This is really the most important thing we're working on. It's not just about making AI powerful, it's about making it fundamentally safe and aligned with human values.

I mean, if you look at it from first principles, you know, the physics just doesn't work unless you simplify. We've got to iterate much faster, actually, and stop over-complicating the design. If we don't solve for engineering efficiency now, the whole project just, you know, stalls out.