Generador de Voz AI Elon Musk por Fish Audio

Look, when people talk about innovation, they think it's all about, you know, having the right degree or following some playbook. But really, it's about solving problems that matter. Some of our best engineers, they just taught themselves by actually doing things.

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 autonomous vehicles is, they're probably going to be way safer than human drivers, maybe 10x safer. But there's still this interesting challenge of making them understand human behavior, which is, you know, pretty chaotic and unpredictable.

Look, the thing about artificial intelligence is, you know, it's not really about having the most advanced degrees. It's about solving problems, thinking differently. Some of the best AI developers I've met, they just taught themselves, figured it out on their own.

Look, the neural link technology isn't going to suddenly make everyone superhuman, but it's got like a 70-80% chance of helping with serious brain injuries. There's some risks, sure, but the potential upside is just incredible.

So, the goal is really to look at the first principles of how these organizations function. Most people don't realize how incredibly inefficient the legacy systems have become. We need to simplify the rules and focus on high-velocity execution. It's essentially about ensuring that resources aren't just being evaporated.

Look at electric vehicles - it's actually pretty simple. You've got the battery, the motor, and the computer. No complex transmission, no exhaust system, nothing like that. It's just fundamentally better engineering. That's why it's the future.

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.