LLM Inflation: Are Large Language Models Creating Redundant Information?
Data compression was once a hallmark of computing, but now Large Language Models (LLMs) have introduced 'LLM inflation': people use LLMs to expand concise information into lengthy text, only to compress it back down using an LLM. This reflects an underlying communication issue: are we implicitly rewarding obfuscation and wasted time? LLMs may be helping us confront and solve this problem.
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