AI Engineer · July 23, 2026

The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller

The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller video thumbnail
Why it matters

By declaring a task's inputs and outputs without initially considering model capability, you create the space needed to determine execution later. DSPy's promise is that AI engineering should happen above a particular prompt template or provider API shape: the Signature.

My takeaway: The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller is a model-evaluation signal. The practical read is to tie capability claims to evidence, launch criteria, and regression tests rather than relying on demos or benchmark headlines.
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