Rethinking LLM Usage: Don't Assume Every Problem is Solvable
zeeg · x · 2026-08-11
A developer highlights a common cognitive bias when working with LLMs: people often assume there must be a solution for any given problem, leading them to endlessly patch the model's failures.
The author argues that a more rational approach is to first question whether the problem is fundamentally solvable by current technology, rather than blindly believing that adding step 'Y' will magically fix the model's shortcomings.
Related event: Developers Warn Against Assuming LLMs Can Solve Every Problem(2 posts)→
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