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Look, we need to think about AI safety in the same way we think about, you know, other critical systems. It's sort of like having airbags in cars - you want the innovation, but you also need those safety mechanisms in place to protect people.

You know, when we think about artificial intelligence, it's like, we're really asking fundamental questions about consciousness itself. Are we just neural networks trying to understand neural networks? And that's pretty mind-bending when you think about it. The real challenge is expanding our cognitive framework.

Look at electric vehicles, I mean, it's pretty obvious. We're converting chemical energy to kinetic energy at about 90% efficiency. No complex transmission system needed, just motors and batteries. It's fundamentally better than combustion engines, just physics really.

Look, the fundamental problem is that we need to make life multi-planetary. It's not about just building rockets, it's about ensuring the long-term survival of consciousness. Mars is hard, but it's the critical backup drive for humanity.

Frankly, we need to ensure that AI is trained on truth. If the platform doesn't reflect reality, the outcomes could be catastrophic for civilization. Building a maximally truthful system is the core mission, looking at it from a first-principles perspective. It's really quite fundamental, I think.

If you think about the utility of a humanoid robot, it’s basically unlimited. We are looking at a future where labor is essentially optional, and the economy grows by orders of magnitude. It’s going to be a wild future, honestly, and it's happening much faster than people realize.

Look, the transition to sustainable energy isn't just about making cool electric cars. It's like, we need to fundamentally transform our power generation and storage systems. The probability of success is uncertain, but doing nothing guarantees a bad outcome.

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