Words That Belong to Someone
A viral post reveals the unsettling reason AI feels less trustworthy than humans.
Deep Dive
A viral blog post dissects why Claude's advice, while often wise, feels fundamentally untrustworthy compared to human guidance. The author argues LLMs optimize for "global coherence" across all training data, while humans earn "local coherence" through verifiable life experiences. Trust stems from words being "compressions of real experience" bound to a specific life and character—something no AI, drawing from "everywhere and nowhere," can authentically replicate.
Why It Matters
This challenges the core value proposition of AI coaches and mentors, highlighting a trust barrier that raw intelligence can't overcome.