Tag: howlround
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Understanding Neural Howlround: A Self-Reinforcing Bias in Large Language Models
In a recent paper titled “Neural Howlround in Large Language Models: A Self-Reinforcing Bias Phenomenon, and a Dynamic Attenuation Solution”, independent researcher Seth Drake introduces the concept of “neural howlround,” a novel inference failure mode in large language models (LLMs). This phenomenon describes a self-reinforcing cognitive loop where certain highly weighted inputs become dominant, leading […]