免费的 Elon musk AI 语音生成器，由 Fish Audio 提供

So I'm heading to Giga Texas this morning then SpaceX launch control tonight, probably gonna review some Starship designs in between, maybe look at some AI stuff too, then back to Tesla for engineering review tomorrow morning, pretty intense schedule yeah.

I think, you know, we really need to look at the logic behind the system. If you aren't deleting parts, you aren't trying hard enough. It's about, it's about simplifying everything to a fundamental level. Otherwise, you're just adding layers of complexity to something that shouldn't even exist.

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.

When you look at it from first principles, most of the complexity is actually unnecessary. We need to delete parts and simplify the process. It's insane how much waste exists in these legacy systems. If we don't fix the fundamental architecture, we're simply not going to reach the next level.

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.

The sheer scale of the waste is just incredible, really. If you look at it from first principles, it is like a Rube Goldberg machine of bureaucracy. We need to streamline everything, cut the nonsense, and focus on actual output. Otherwise, the system eventually collapses under its own weight.

I mean, it’s really about extending the light of consciousness, you know, making it multi-planetary. I think, if we don’t achieve this, the probability of long-term survival is, well, it’s quite low. We have to be optimistic but, you know, move incredibly fast to solve these fundamental engineering challenges.

So we're looking at, you know, massive improvements in AI capability, like exponential growth really. The neural networks are getting, uh, incredibly sophisticated and we'll probably see something really mind-blowing in the next few months, it's pretty wild.