Priority order for agentic AI: high-SNR evals, then harness, then post-training
abeirami · x · 2026-09-10
abeirami argues evals ≫ harness optimization (fast learning) ≫ model post-training (slow learning). Most agentic tasks don't need slow learning loops at all — and even when post-training is the goal, you first need high-SNR evals, optimize the harness on that signal, then 'distill' the resulting system behavior back into the weights.
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