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I think we’re seeing, like, a fundamental shift in, uh, how we interact with, with the world. You know, if you look at the, the progress in robotics, it's accelerating. There’s maybe a thirty percent chance it’s incredible, but we really have to be careful about the safety side.

I mean, if you look at the rate of improvement for humanoid robots, it’s, it’s basically exponential right now. I think we’ll probably see them doing useful tasks, you know, in factories or even homes, within three or four years. It’s going to be, I think, quite profound.

When you look at neural networks and quantum computing integration, it's somewhat of a convergence of multiple technological paradigms. The AI systems in space applications, which is fundamentally what we're working towards, are going to revolutionize how we process data.

We are also looking at how we can optimize the delivery system, you know, to ensure that the vector reaches the correct tissue without triggering an immune response. By refining these engineering techniques, we can really improve the safety profile and overall efficacy for the patients we serve.

If we really want to build general purpose robotics, you know, we have to move beyond simple algorithms. It's sort of like teaching a machine to see the world as we do, where every sensory input is a piece of the puzzle. That's the real challenge.

To achieve a sustainable future, we must solve for mass-market autonomy and energy storage. It's fundamentally about engineering efficiency. If we don't accelerate these breakthroughs, the light of human consciousness might flicker out. We need to focus on what truly matters for the long-term survival of civilization.

Look, making life multi-planetary is incredibly hard, the hardest thing we've ever done. People focus on the failures, but we have to take these risks to ensure the future of consciousness. If we're not constantly pushing the boundaries, what's the point? We keep going.

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