Why Experts Still Outperform LLMs: The Value of High-Quality Supervision
tokenbender · x · 2026-08-04
The author argues that experts bring out the best in LLMs because language models heavily rely on high-quality supervision, steering, and verification when dealing with fuzzy, non-deterministic feedback. Experts essentially act as superior online verification systems.
Rather than debating if experts have an edge, the author is more interested in doing napkin math to guesstimate when it becomes cheaper to use AI to completely discard the advantages a human expert brings. That is how one should draw the "it's over" timelines.
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