Ellon Musk (PODCAST) Fish AudioによるAIボイスジェネレーター

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.

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, 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.

The neural interface we're developing is absolutely insane. It's going to revolutionize how humans interact with computers. Like, we're talking about a quantum leap in brain-computer interfaces. Tesla's AI team is helping, and it's just mind-blowing stuff.

The fundamental problem with artificial intelligence is ensuring it remains beneficial to humanity. This is absolutely critical. We're developing neural interfaces that could revolutionize human-AI interaction, making us essentially symbiotic with AI. That's the future we need to build.

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.

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.

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.