OpenAI Community
2026-08-13 22:40 UTC
Score 45.0
AI-116-20260813-social-media-358c84f8
Full article
Proposal: A Provenance-Aware Collective Reasoning Layer for ChatGPT Turning individual AI reasoning into cumulative, inspectable knowledge Submitted as a user-driven product and research proposal Executive proposal Today’s frontier AI systems can reason extraordinarily well within a conversation, but an important limitation remains: A significant amount of useful reasoning is generated during conversations but does not become a durable, structured starting point for future reasoning. A user can challenge a model’s assumptions, introduce overlooked evidence, expose a logical weakness, and cause the model to materially revise its conclusion. Yet the next user asking the same question may effectively begin from the model’s earlier state rather than from the improved reasoning that resulted from the previous investigation. I propose a Provenance-Aware Collective Reasoning Layer (PACRL) for ChatGPT. The objective would not be to make AI conclusions authoritative. The objective would be to allow evidence, hypotheses, arguments, counterarguments, confidence estimates, and model reasoning to accumulate over time while preserving their provenance and epistemic status. In simple terms: Don’t make the AI merely remember what people said. Make it remember what was established, what was inferred, why it was inferred, who challenged it, what survived those challenges, and what would change the conclusion. The core concept For a disputed question, ChatGPT should eventually be able to maint…