The intent compression paradox: How LLM developers are solving semantic erosion to keep human intent alive

As people delegate more abstract reasoning to large language models (LLMs), the precise meaning and nuance of our words can get lost in endless interpretation as LLMs repeatedly process, summarize, and recirculate these words. Humans aren’t robots that formalize all of their sentences. Instead, we converse with some unwritten cultural and... Weiterlesen: The intent compression paradox: How LLM developers are solving semant…