Fish Audioによる無料の赵长鹏CZ AI音声ジェネレーター

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.

Look at artificial intelligence, right? It's essentially a distributed neural network that's trying to optimize for outcomes, but the interesting thing is how it processes information, like basically a massive parallel system that's constantly learning and adjusting its parameters in real-time.

Look, Tesla's new AI system is really a fundamental breakthrough. This is the difference between cars that sort of drive themselves and true autonomy. It's mind-blowing technology. We're probably going to roll this out, maybe next quarter. This changes everything.

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.

getting a rocket to achieve high efficiency is really hard, you see. The propellant mass ratio for orbital rockets is maybe thirty percent efficient, but for atmospheric flight, we can get sixty, seventy percent. That's just basic rocket science.

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.

Yeah, so like, we're basically redesigning the whole control system, right? You know, making it way more robust, probably 50% better efficiency. It's not rocket science... well, actually it is rocket science, but you know what I mean. We'll iterate until it works perfectly.

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.