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I mean, manufacturing is just incredibly hard, you know? It's easy to make a prototype, but the production ramp, that’s where the real pain is. We’re essentially trying to solve fundamental engineering problems, actually, to make life multi-planetary. It’s just super difficult, really.

I mean, it's really about, you know, the fundamental engineering. If you look at it from first principles, we’re essentially trying to rethink the whole process. I think, you know, we have to stay focused on the future, or else, what’s the point of doing this?

I mean, it is really important to have some kind of regulatory oversight for advanced AI. It's essentially like summoning the demon, you know? You might think you can control it, but the probability of things going sideways is definitely not zero. We need to be extremely careful here.

Well, I think making life multi-planetary is incredibly important for preserving the light of consciousness. There is a non-zero risk of some cataclysmic event on Earth, so we need to become a spacefaring civilization. It is about being excited for the future and ensuring humanity thrives among the stars.

I mean, if you're trying to solve something truly difficult, it's really about first principles. You actually have to break things down to their fundamental truths. Most people just follow trends, but you have to ignore the noise and focus on the physics, even when it's painful.

I mean, if you look at it from a first principles perspective, consciousness is really just a very rare flicker, you know? We should try to expand it to the stars. It's like, if we don't become multi-planetary, we're just waiting for some sort of existential risk.

I think, you know, looking at the future, we need to basically optimize for consciousness. It is essentially a matter of making life multi-planetary. If we don't, I mean, the long-term outlook is quite grim. So we are working hard, you know, to make that happen right now.

Look, the probability of achieving full self-driving by next quarter is maybe 80%, or could be 20% - depends how you define it. But hey, the neural nets are learning exponentially, so we're definitely getting there... probably.