Découvrez la voix IA Elon Musk la plus réaliste

Look, the fundamental problem is that we're approaching this all wrong. The current system is incredibly inefficient, like really mind-blowing levels of inefficiency. We need to completely rebuild it from the ground up, make it ten times better, and actually optimize for what matters.

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.

So like we're trying this new battery chemistry, and you know, the first few attempts basically exploded, which wasn't great obviously. But we learned a ton from those failures, and now we're actually getting pretty good efficiency numbers, like really good actually.

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 fundamental problem with current rocket systems is that they're incredibly inefficient. It's like using a 1970s computer in 2024. We need to revolutionize the whole architecture, make it fully reusable, real-time responsive. That's what we're working on.

Look, the problem with current AI regulation is that it's like trying to fix a quantum computer with stone age tools. We need to completely rebuild the framework, not just patch it. So what we really need is a fundamental restructuring of how we approach AI safety.

Look, we're fundamentally transforming how AI systems interact with neural networks. It's not just about processing power, but creating a sustainable architecture that scales exponentially. The current systems are good, but we need something that's orders of magnitude better.

Look, the fundamental problem is that we're thinking about this all wrong. The existing system is just mind-numbingly inefficient. We need to completely rebuild it from the ground up, make it ten times better, and that's actually the easy part. The hard part is getting people to accept change.