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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.

Thank you for having me at this innovation summit. You know, it's truly remarkable to see such brilliant minds gathered here. I believe the solutions we're discussing today will fundamentally transform how we approach sustainable technology and space exploration.

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.

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, I'm telling you right now, artificial intelligence is the future. We're working on groundbreaking technology at Tesla and SpaceX. It's not just talk - we're actually making it happen. Trust me, this will revolutionize everything. Let's shape the future together.

Look, artificial intelligence is basically a digital brain that's getting smarter every day. You're already interacting with AI more than you realize. I mean, your phone, your car, your apps - it's all becoming one integrated system. Pretty wild when you think about it.

Thank you for having me at this incredible innovation summit. It's fascinating to see the remarkable progress we're making in sustainable technology. You know, when we look at the future of human civilization, these breakthroughs are absolutely essential for becoming a multi-planetary species.

So, the key to effective noise reduction is... um... understanding signal processing at a fundamental level. We're basically teaching AI to distinguish between what humans want to hear and what they don't. It's like teaching a computer to be really good at selective hearing.