People tend to forgot the millions of years of horribly inefficient evolution it took to develop the human brain.

Yeap. They are trying to train the AI quickly, not over the course of 18 years.

Also, it's early still early for these AI/LLM tools. The first few iterations of things are generally not very efficient. After you can prove it works, THEN you can make improvements to it, make it more efficient, etc.

However, I think that the approach of feeding in more power instead of optimizing it is the wrong approach. I feel Microsoft could get further ahead of it could find ways to train models more efficiently 🤷

Don't think the point that's being made is "smarturr" but rather that stay within the margins of available power.

I am so excited for the advances that neuromorphic processors will bring, which is not exactly my field, but adjacent to it. The concept of modelling chips after the human brain instead of traditional computing doctrines sounds extremely promising, and I would love to get to work on systems like Intel's Loihi or IBM's TrueNorth! If you think about it, it's a bit ridiculous how corporations like Nvidia are currently approaching AI with graphics processors. I mean, it makes more sense than general-purpose CPUs, but it is at the very least a subideal solution.

I bet it'd be a whole lot easier to grow and organic computer if you didn't have to worry about pesky things like people thinking you grew genetically engineered slaves.

Because safety and profits aren't going in the same direction. They would cut corner for reduce the costs. Which is how you end with a nuclear accident. And then it would be to the tax payer to kick the bill.