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Well, I mean, we really need to focus on making life multi-planetary. It's not just about survival, it's about the future being exciting. If we don't extend consciousness beyond Earth, there's a non-zero risk of some existential catastrophe. We want to make that probability as close to zero as possible.

I think it is really important to look at things from a first principles physics standpoint. If we can increase the scope and scale of consciousness, then we are better able to ask the right questions. It is like, we are just trying to understand the universe, you know?

You know, it's funny how these things happen. I mean, we were just throwing ideas around, and suddenly everyone's talking about it. I guess that's how most of these decisions come about - someone suggests something online, and then, well, it just kind of sticks.

You know, I was in the studio yesterday, and like, there's this amazing track we've been working on. It's got this beautiful piano part, and I thought, well, maybe we could get someone really special to come in and add their magic to it. That's how music happens, right?

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.

Look, the neural networks we're developing, they're getting exponentially smarter. I mean, it's not like they're going to suddenly become evil, but we need to be really careful about the alignment problem. It's probably the biggest challenge we're facing.

So, frankly, I think people understate the importance of radical efficiency. You know, if you have a massive amount of bureaucracy, it just, like, slows down innovation to a crawl. We really need to simplify things, otherwise we're just stuck in the past, my personal opinion.

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.