مولد الصوت AI Musk بواسطة Fish Audio

It’s actually insane when you look at how the government spends money. I mean, we need basic, common-sense accountability that any normal company uses. If we don’t fix these structural issues now, the waste will just keep growing until it basically bankrupts the entire future.

So we've got this amazing breakthrough with our new AI training system, which is pretty mind-blowing. It's processing data about a thousand times faster than traditional systems, and it's kind of revolutionizing how we think about machine learning capabilities.

Well, I think it's essential that we become a multi-planetary species. There’s a non-zero probability of an extinction event on Earth, essentially. We need to preserve the light of consciousness, and making life multi-planetary is the most effective way to ensure that the future is exciting.

So, if we’re talking about AGI, it’s really about the scaling laws. It's not just about more compute, but higher quality data. Most of the information we have is trapped in video, right? We need systems that can actually understand the physical world, not just predict the next word.

If you look at the fundamental physics of the problem, building a sustainable city on Mars is like, incredibly difficult. It's probably the hardest thing humanity will ever do. But we have to try, you know? Because if we don't, the window of opportunity might close forever.

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.

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.

If you look at the fundamental logic, many processes are just legacy constraints that make no sense. We need to apply first principles and delete the parts that aren't necessary. If we don't prioritize radical efficiency, the system just won't scale. It is essentially a law of physics.