Opinion: LLMs Lack Relevance, Local Deployment and Reverse Prompting Are the Solutions
StewartalsopIII · x · 2026-08-04
The author critiques the fundamental design of current LLMs, arguing that they are built on a 'scientism' epistemology that ignores the embodied human observer, rendering them incapable of understanding what is actually relevant to the user.\n\nBecause models cannot independently determine user intent, users often get lost in verbose outputs. To counter this, the author suggests that running local LLMs on personal GPUs is the only true fix, though labor-intensive. Alternatively, users must adopt a new reading interaction: prompting the LLM to ask the user questions to actively establish context and relevance.
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