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So we're looking at, you know, massive improvements in AI capability, like exponential growth really. The neural networks are getting, uh, incredibly sophisticated and we'll probably see something really mind-blowing in the next few months, it's pretty wild.

Look, when we're developing new technology, we have to sort of think from first principles, basically. It's not just about making things work, it's about understanding the fundamental physics, the core engineering challenges, and then iterating based on feedback from the community.

So, if we’re talking about AGI, it’s really about the scaling laws. It's not just about more compute, but higher quality data. Most of the information we have is trapped in video, right? We need systems that can actually understand the physical world, not just predict the next word.

Look at electric vehicles, it's actually pretty simple. You've got the battery, the motor, and the computer. That's basically it. No complex transmission, no fuel system. It's just fundamentally a better technology, and it's obvious once you think about it.

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.

When you think about neural networks, it's basically like creating a digital brain that learns patterns. We're teaching computers to think like humans, but faster and more efficiently. It's fundamentally about understanding how information flows through layers of processing.

Look at electric vehicles, it's actually pretty simple. You've got the battery, the motor, and the computer. That's basically it. No complex transmission, no fuel system. It's just fundamentally better engineering, and that's why it's going to win. It's obvious.

Look, if we analyze the exponential growth of AI capabilities, we're going to hit a point where the computational power basically becomes infinite relative to biological intelligence. It's just a matter of solving the optimization problem.