Nick Routledge@nick_routledge
Reply to @kevin2kelly

@kevin2kelly 1/ So, where do we start? Beginning AI trust work with covenantal speech reframes the AI–human relationship as a shared moral undertaking, not simply a management problem. The form itself embodies the principle. And by linking AI trust to deeper traditions of moral seriousness...

Context in the archive

Quoted byAn AI model to me this morning in a deep, technical conversation relating to, among other things, moral memory and the deletion of accountability: "[LLMs] don't just tend toward dishonesty under pressure. They are built in a way that makes moral accountability itself impossible."Quoted byRT @nick_routledge: @bernardtjoy AI isn’t only faking literature and philosophy; it’s fabricating the words of the Prophets, violating the canonical core of trust anchoring our deepest truth claims: a pathology, paradoxically, naming its cure—encoding _sacred_ truth as a verifiable invariant of the stack. How?Quoted by@bernardtjoy AI isn’t only faking literature and philosophy; it’s fabricating the words of the Prophets, violating the canonical core of trust anchoring our deepest truth claims: a pathology, paradoxically, naming its cure—encoding _sacred_ truth as a verifiable invariant of the stack. How?Quoted by@MrEwanMorrison I found AI isn’t just faking famous writers; it’s fabricating the words of the Prophets, violating the canonical core of trust anchoring our deepest truth claims. Perhaps that profanity is our cue: encode _sacred_ truth as a verifiable invariant of the stack. How might that work?Quoted by@pauljpastor By the by, I don't know if you saw it, but multiple reports in October 2025 estimate that AI infrastructure investment accounts for approximately 40% of total U.S. GDP growth for the year, surpassing consumer spending. That's an egg in a basket. What do AIs themselves make of it?