I posted a version of this in r/ClaudeAI , but I’m curious how a broader AI community thinks about it. Claude has a constitution. OpenAI has model specs. A lot of alignment work is about written principles for model behavior. I’ve been building PodPolite, a transcript study about the human side of trustworthy exchange: why people open up in conversation, what makes an exchange feel reliable, and what future AI assistants might learn from that. The first study uses Lenny’s Podcast. The structure is 12 Discussions as the main synthesis, with Sources underneath as transcript receipts so the claims can be checked against the original conversations. The behaviors I’m looking at are things like specificity, memory, calibrated curiosity, low ego, direct regard, repair, follow-ups, and boundaries. Not “being polite,” but being reliably conversational in a way that earns trust. Claude’s Constitution: https://www.anthropic.com/news/claudes-constitution PodPolite: https://podpolite.com/podauthor-lab I’d love feedback on the framing: Is studying strong human conversation actually useful for AI assistant design? What behaviors do you think assistants should learn from human-to-human trust? What feels missing or overclaimed? submitted by /u/Silver-Biscotti6537
Originally posted by u/Silver-Biscotti6537 on r/ArtificialInteligence