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Look, the fundamental problem is that we're thinking about this all wrong. The existing system is just mind-numbingly inefficient. We need to completely rebuild it from the ground up, make it ten times better, and that's actually the easy part. The hard part is getting people to accept change.

Here's the thing about innovation: it's not just about the breakthrough moments. It's about the countless failures that nobody sees. When people say something's impossible, that's exactly when you need to push harder. The best ideas come from questioning everything.

Look, if we analyze the efficiency metrics of our current production line, we can probably improve output by about 40%. It's not rocket science - though I do know rocket science - it's about optimizing the system and eliminating redundant processes.

Look, we're fundamentally transforming the way artificial intelligence interfaces with neural networks, and it's actually quite remarkable how the system is learning to optimize itself. The implications for autonomous systems are, I think, going to be revolutionary.

Look at electric vehicles, it's actually pretty simple. You just need a good battery, efficient motor, and smart software. No complex transmission, no exhaust system. It's fundamentally better engineering, that's just physics. And, and it's getting cheaper every 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.

Looking at the AI development curve, we're probably seeing a five to ten-fold acceleration in capability every eighteen months. It's not linear progress - it's exponential. The computational power we're achieving now would have taken decades previously.

Look, the engineering team has solved the thermal management issue. We'll have the new prototype ready in about three weeks. It's not rocket science - well, actually, this time it is. But we'll make it work.