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So, like, when we're thinking about AI development, let's say we're trying to make it safer, right? The fundamental thing is, we need to ensure that, like, the neural networks are properly trained, let's say in a way that aligns with human values.

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So, like, if you look at artificial intelligence development, let's say we're training these systems, and they get something wrong, right? The probability of cascading errors becomes exponentially higher, and that's why we need really robust testing protocols.

Look, AI is obviously a huge potential, but, and this is important, we need to be really careful about, you know, the development process. It's like, we could have something amazing, or, and this is the concerning part, something that's maybe not so good for humanity.

Look, the thing about Mars colonization is, it's going to be incredibly difficult, probably dangerous, but it's essential for making humanity multiplanetary. We might fail a few times, but that's fine - we'll iterate, improve the design, and eventually make it work.

Look at artificial intelligence like a tool that amplifies human capability. If you think about it like a neural network, you want to find the optimal connection points where human creativity intersects with computational power. That's where the real innovation happens.

Look, the thing about AI is, um, it's probably the most disruptive technology we've ever created. It's like, we're summoning the demon here, but also creating incredible opportunities. We need to be really careful, but also move fast. That's the fundamental challenge.