AI search engines may be returning obvious results, reducing usefulness

By PulseAugur Editorial · [1 sources] · 2026-07-21 05:38

The use of trained AI models, referred to as MOLEs, as the engine for web search portals may be diminishing the usefulness of search results. These statistical engines are designed to find the center of a bell curve, leading them to return the most common and unexceptional results. This means users are likely to receive information they already know or could easily find themselves, rather than novel or specialized content. AI

IMPACT The widespread use of AI in search may lead to less diverse and insightful results, potentially hindering discovery of novel information.

RANK_REASON The item discusses a potential negative impact of AI on web search utility, framed as an opinion or observation.

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AI search engines may be returning obvious results, reducing usefulness

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-21 05:38

It just occurred to me that there's an obvious reason why using a Trained # MOLE as the engine for web search portals, makes their results much less useful than

It just occurred to me that there's an obvious reason why using a Trained # MOLE as the engine for web search portals, makes their results much less useful than they used to be. A MOLE is a statistical engine that searches for the centre of any given bell curve. So when we ask on…

COVERAGE [1]

It just occurred to me that there's an obvious reason why using a Trained # MOLE as the engine for web search portals, makes their results much less useful than

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