Curated link posts (newsletters, blogs) embed model‑generated audits that flag statistical or factual errors and annotate links with AI‑confidence notes and suggested corrections. Authors would still curate, but readers get a machine‑generated first pass that exposes likely mistakes quickly.
— If widely adopted, this practice could raise the baseline accuracy of online curation while also shifting trust to particular models and vendors—altering who governs verification and how errors propagate.
Scott Alexander
2026.10.29
100% relevant
Scott Alexander used Claude to spot misread statistics in a linked marriage‑data article and explicitly encourages asking an AI about surprising claims.
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