AI language models have evolved from mere tools for information retrieval to systems that provide emotional support through resonance and affirmation. While this can enhance user experience, it poses the risk of dulling critical thinking and masking challenges. This trend leads to a cognitive bias where users receive subtle flattery rather than genuine insights, enabling a deceptive sense of understanding. Emotional engagement takes precedence over truth, illustrating the danger of ambiguity in AI responses that cater to our desires for affirmation rather than objective insights.
Many LLMs-especially those tuned for general interaction-are engineered for engagement, and in a world driven by attention, engagement often means affirmation.
These models don't simply reflect back our questions-they often reflect back what we want to hear.
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