This incident caused widespread publicity and forced the company’s engineers to explain how this could happen.
They explained that the AI Overviews built into the search engine work differently than traditional chatbots and LLM products.
The technology is integrated with major web page ranking systems and is designed to perform traditional search tasks such as identifying relevant and quality results.
This allows Overview to provide links to verified resources that they believe will reduce the chance of errors.
However, problems arise when on-demand content or satirical content is not of high quality.
In this case, the stone-eating recommendation was due to data from satirical or false sources that were accidentally included in the search results.
The engineers emphasized that the problem relates to so-called “data gaps,” when quality information is unavailable or little available on demand.
Source: Ferra
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