Phillip Isola: Study How Big Models Solve Tasks, Don't Race Them on New Benchmarks
phillip_isola · x · 2026-09-09
MIT professor Phillip Isola responded to Michael Black's question about the role of academic computer vision research in the age of powerful large models.
His suggestion: work less on solving tasks and more on understanding the solutions — a paper analyzing how Astra + open models work may have more lasting impact than one chasing a new task those models will inevitably solve.
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