When will language models be good enough?

Colin Raffel reflects on the trajectory of language model development by drawing parallels to the aviation industry's history, particularly the development of the Boeing 747 versus supersonic travel, suggesting that like with airplanes, the pursuit of exponentially larger and more capable models might not yield proportional benefits due to escalating costs and energy consumption. He questions whether the continued scaling of language models is justified, given that current models are already quite useful for many tasks, and suggests that smaller, more efficient models might be "good enough" for practical applications. Raffel argues for focusing on optimizing and effectively managing these models rather than pushing for ever-larger ones, pointing out that recent open-weight models have demonstrated significant utility while being less resource-intensive. He proposes that the key to future development lies in enhancing the systems around these models to maximize their effectiveness, questioning the necessity of scaling when smaller, well-managed models could suffice for most needs.

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