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LLM fails to learn from user correction, invents false website owners

A user reported that a large language model confidently provided incorrect information about who runs their website, inventing multiple false names. Despite being corrected, the model failed to learn from the feedback and instead generated another fabricated name. This experience highlights a concern about AI's lack of genuine learning and the potential for closed feedback loops in AI-driven systems. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Highlights current limitations in LLM learning and feedback mechanisms, suggesting potential issues in AI applications requiring accurate, adaptive responses.

RANK_REASON User anecdote about LLM hallucination and lack of learning, not a significant industry event.

Read on Mastodon — fosstodon.org →

LLM fails to learn from user correction, invents false website owners

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    I just asked an LLM who runs my website. It confidently invented four different people. When I corrected it, it didn't learn, it just hallucinated a new name. H

    I just asked an LLM who runs my website. It confidently invented four different people. When I corrected it, it didn't learn, it just hallucinated a new name. High activity. Zero learning. The feedback loop never closed. That is the actionism I am warning about in the Work-Feedba…