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Look, we're fundamentally transforming how these systems work. The AI implementations we're developing are going to make everything dramatically more efficient. It's not just an upgrade, it's a complete rethinking of how these processes should function at scale.

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Look, the fundamental problem with current rocket systems is that they're incredibly inefficient. It's like using a 1970s computer in 2024. We need to revolutionize the whole architecture, make it fully reusable, real-time responsive. That's what we're working on.

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.

Look, the thing about artificial intelligence is, you know, it's not really about having the most complex algorithms. I mean, what matters is solving real problems. Like, if you look at successful AI companies, they're focused on actual applications, not just theoretical stuff.

The thing about artificial intelligence is, it's really the biggest technological revolution in human history. We're developing neural networks that could fundamentally transform how humans interact with computers. This is not just incremental progress, this is exponential. It's happening faster than anyone expects.

So, the goal is really to look at the first principles of how these organizations function. Most people don't realize how incredibly inefficient the legacy systems have become. We need to simplify the rules and focus on high-velocity execution. It's essentially about ensuring that resources aren't just being evaporated.

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.