最もリアルなElon AI音声を体験

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.

Look, the fundamental problem with traditional manufacturing is that it's incredibly inefficient, yeah. We're basically operating like we're stuck in the 1950s. What we need is complete vertical integration, automated systems that actually make sense, and it'll basically transform everything.

Look, the traditional education system, it's kind of like, you know, an operating system that needs an upgrade. Some of the most innovative people I've met, they didn't follow the normal path. They just figured things out and built amazing things.

Look, artificial intelligence is going to fundamentally transform everything, you know. But we need to be smart about it. Can't just rush forward without thinking about the consequences. Basically, we need safeguards while still pushing innovation.

Look, the fundamental problem with current transportation systems is that they're operating in 2D when we should be thinking in 3D. It's basically insane that we're not utilizing the vertical space above us. That's why we need to revolutionize urban mobility.

Look, the transition to sustainable energy isn't just about making electric cars. I mean, we need to fundamentally transform our power generation, and there's like a small chance we'll fail, but probably not. It's really about scaling the technology, making it work.

Look, the thing about autonomous systems is, they're going to get exponentially smarter, I mean, like really smart. We need to be incredibly careful about development guardrails. It's not that they'll necessarily be evil, but they could optimize for things in ways we didn't intend.

You know, when we're thinking about AI development, it's like, there's this recursive optimization problem, right? Your brain's trying to solve multiple threads simultaneously, but then you hit these computational bottlenecks, which is actually pretty similar to what we're doing with neural networks.