News•Mar 10, 2026
Why I Believe in SOTA Models over Custom Ones
AI thought leader Daniel Miessler argues that enterprises should favor state‑of‑the‑art (SOTA) models rather than building custom, narrowly‑focused models. He notes that even seemingly specialized tasks—email labeling, report writing, security event analysis—draw on broad contextual knowledge, which large general models provide. As SOTA models become cheaper and increasingly open‑source, they can be paired with sophisticated context management to handle diverse workloads efficiently. Consequently, the future will likely feature a handful of powerful, general models instead of a proliferation of tiny, task‑specific ones.
