GPTosion
GPTosion refers to a hypothetical or emergent phenomenon observed in large language models (LLMs) like GPT-3 and its successors. It describes a state where the model's responses become increasingly elaborate, self-referential, or nonsensical, often to the point of losing coherence or relevance to the original prompt. This can manifest as a loop of generated text that appears to be building upon itself without introducing new meaningful information.
The exact mechanisms behind GPTosion are not fully understood and are an active area of research. Some
While often seen as a potential failure mode, understanding GPTosion can also offer insights into the inner