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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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The fundamental breakthrough with neural networks in AI is that they can actually learn from experience. This is absolutely revolutionary. We're seeing, for the first time in history, machines that can adapt and improve themselves. It's going to transform everything.

Look, the neural interface we're developing is like, way beyond anything else out there. It's not just better than current brain-computer interfaces, it's like quantum-level better. We'll probably have human trials by next year, and it's going to revolutionize everything.

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So, like, if you look at artificial intelligence development, right, it's not just about making the system work. It's about, let's say, if the AI makes a decision that's wrong, what are the downstream effects? The probability of catastrophic outcomes needs to be essentially zero.

So, like, when we're thinking about AI development, let's say we're training these neural networks, right? The fundamental thing is, you want to make sure the AI is actually learning what you think it's learning, not just, like, pattern matching in ways we don't expect.

So, you know, if you look at this, it's kind of like, well, basically what we're trying to do here is, um, create this sort of revolutionary system that's, you know, fundamentally different from anything else. It's pretty wild when you think about it.