Gerador de Voz AI Elon musk por Fish Audio
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Amostras - Elon musk
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Amostra 1
If we want to become a multi-planetary species, we need to build a self-sustaining city on Mars. It's fundamentally about making life exciting and ensuring the light of consciousness doesn't go out. It’s hard, but we're going to make it happen, no matter what.
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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.
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So, you know, we're working on this really cool AI thing, and, and it's like, fundamentally changing how we approach robotics. We've got these neural networks that are, you know, basically learning at an incredible rate. It's pretty mind-blowing stuff.
Sample Transcriptions
Default Sample - Amostra 1
If we want to become a multi-planetary species, we need to build a self-sustaining city on Mars. It's fundamentally about making life exciting and ensuring the light of consciousness doesn't go out. It’s hard, but we're going to make it happen, no matter what.
Default Sample - Elon musk
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.
Default Sample - Elon musk
So, you know, we're working on this really cool AI thing, and, and it's like, fundamentally changing how we approach robotics. We've got these neural networks that are, you know, basically learning at an incredible rate. It's pretty mind-blowing stuff.
Default Sample - Elon Musk
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.
Default Sample - Elon musk
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.
Default Sample - elon musk
Think about this: at 50, you've got more wisdom than ever, more resources than before, and guess what? The digital age has opened doors we never imagined. Maybe you're thinking it's too late to start that business, but let me tell you - your experience is your superpower.
Default Sample - Elon musk
So tell me how long is everything going to take for you to get done
Default Sample - Elon musk
Look, the production numbers are solid. We're seeing a 32% increase in output, and the new AI algorithms are performing exactly as expected. Give it about three weeks, and we'll have the full system optimization complete.
Default Sample - Elon musk
Look, traditional car manufacturing is fundamentally broken. We're developing a new robotics system that reduces assembly time by 80%. No fancy marketing here - pure engineering efficiency. The experts said it couldn't be done, but we're already testing prototypes. It's insane.
Default Sample - Elon musk
The new neural interface we're developing at Neuralink is absolutely insane. It's going to revolutionize how humans interact with computers. Like, we're talking quantum leaps beyond anything that exists today. Mind-blowing stuff coming next year.
Default Sample - Elon Musk
You have to look at the first principles, you know? The cost of transport to orbit is the fundamental bottleneck. If we can make rockets fully reusable, like truly reusable, the cost drops by an order of magnitude, maybe two. It's ridiculously important for the future of consciousness.
Default Sample - ELON MUSK
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.
Default Sample - Elon musk
Look, if we analyze the production efficiency, we can probably improve output by roughly 40% while reducing costs by about 15%. It's not rocket science - though I do know rocket science. We just need to optimize the systems, eliminate redundancies, make things simpler.
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