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Look, when we're developing these advanced AI systems, we need to be incredibly careful about the potential implications. I've been saying this repeatedly - we need a balance between innovation and safety. The technology is advancing exponentially, and we must get this right.

Look, AI is obviously going to be transformative, but people are getting it wrong. The real challenge isn't some sci-fi apocalypse scenario - it's building systems that actually work and solve real problems. We're doing that at Tesla, at a scale nobody else is attempting.

Like, the neural interface we're developing, it's basically going to be, I mean, way beyond what people think is possible. It's not just about connecting to computers, it's like, fundamentally changing how humans interface with technology. I think we'll see this working at scale, probably next year.

Yeah, what we've achieved with the new battery technology is pretty mind-blowing. The team has done an incredible job pushing the boundaries of what's possible. We're probably looking at a 30% improvement in energy density, which is, you know, absolutely game-changing for electric vehicles.

We need to become a multi-planetary species to preserve the light of consciousness. By applying first principles to rocket engineering, we can achieve full reusability. This is essentially the most important thing for the future of humanity, making life on Mars not just possible, but inevitable.

Looking at the AI development curve, we're seeing an exponential acceleration in capability. What would have taken ten years to achieve is now possible in maybe two to three years. This is not linear progress - it's fundamentally transformative.

Look, the thing about artificial intelligence is, I mean, we need to be really careful here. It's like, we're creating something incredibly powerful, and we can't just regulate it into oblivion. But we also can't just let it run completely free. We need a balanced approach.

Look, the fundamental problem with current AI development is that everyone's rushing to build bigger models without considering the implications. I've been saying this repeatedly - we need to focus on making AI systems that are fundamentally safe and truthful, not just powerful.