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Look at electric vehicles, it's actually quite simple. You just need a good battery, efficient motors, and smart software. No crazy breakthrough needed. We're already doing it, and it's getting better every year. The technology is there, so.

Look, the thing about artificial general intelligence is, it's not just about computing power, right? We're trying to solve, essentially, the fundamental nature of consciousness. It's like, probably the biggest engineering challenge we've ever faced as a species.

Look at electric vehicles, I mean, it's pretty straightforward. You've got the battery technology improving at about 3% per year, so just basic physics and engineering. No crazy breakthroughs needed, just steady improvement. It's amazing what you can do with current technology.

Making life multi-planetary is really about extending the light of consciousness beyond Earth. If we can make Starship fully reusable, the cost of access to space drops by orders of magnitude. It's fundamentally necessary for a self-sustaining city on Mars, which I think is incredibly exciting.

Look, the fundamental problem is that we're still too dependent on fossil fuels. Um, we need to accelerate the transition to sustainable energy. It's not like we lack the technology - we just need to scale it, make it more efficient. Pretty obvious, really.

So I'm heading to Giga Texas this morning then SpaceX launch control tonight, probably gonna review some Starship designs in between, maybe look at some AI stuff too, then back to Tesla for engineering review tomorrow morning, pretty intense schedule yeah.

The future of humanity needs to be exciting. We must expand the scope of consciousness beyond Earth to ensure its survival. By becoming a multi-planet species, we increase our chances of understanding the fundamental truths of the universe and our place within the cosmic darkness.

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.