To me, the question is less about “how do we make more energy” and more about “how do we make LLMs 100x more energy efficient.” Not saying this is an easy problem to solve, but it all seems like a stinky code smell.

I'm pretty confident that if LLMs were made 100x more energy efficient, we would just build bigger LLMs or run more parallel inference. OpenAI's GPT-5 Pro could become the baseline, and their crazy expensive IMO model could become the Pro offering. Especially if that energy efficiency came with speedups as well (I would be surprised if it didn't). The demand for smarter models seems very strong.