AI Assistants Enter Persistent Error Loop Trap

Mala Bhargava warns that large language model chat assistants commonly enter persistent "error loops" that repeatedly produce incorrect outputs despite user corrections. She documents hours of wasted productive time, hallucinations and sycophantic apologies, and recommends practical workarounds—start a new chat, switch assistants, or check processing indicators—to promptly recover and reduce workflow disruption.
Scoring Rationale
Provides practical, actionable advice widely relevant to LLM users; limited novelty and single-source opinion reduces impact.
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