Models: useless or misleading for extrapolation, yet rock-solid on known-knowns
teodorio · x · 2026-10-23
The author observes a stark bifurcation in current LLM capabilities: models are useless or outright misleading when asked to extrapolate from uncertain data, yet extremely useful and reliable in well-defined, known-knowns scenarios — an experience he likens to "riding a motorcycle in the storm with no helmet," underscoring that users must correctly classify which regime a task falls into.
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