This post was rejected for the following reason(s):
Low Quality or 101-Level AI Content. There’ve been a lot of new users coming to LessWrong recently interested in AI. To keep the site’s quality high and ensure stuff posted is interesting to the site’s users, we’re currently only accepting posts that meets a pretty high bar. We look for good reasoning, making a new and interesting point, bringing new evidence, and/or building upon prior discussion. If you were rejected for this reason, possibly a good thing to do is read more existing material. The AI Intro Material wiki-tag is a good place, for example. You're welcome to post questions in the latest AI Questions Open Thread.
🔹 Intro:
"AI is advancing rapidly, but one thing still seems missing: a structured way for AI to question its own decisions. Right now, models predict, generate, and act—but they don’t truly reflect before acting. Could self-questioning improve AI alignment, reliability, and safety?"
🔹 Where This Idea Came From (Important Part!):
"I’m not an AI engineer, and I don’t come from a coding background. This concept came from deep discussions between myself, GPT-4, and OpenAI’s models—exploring how structured cognition could improve AI decision-making."
🔹 The Core Idea:
"Humans don’t just act—they hesitate, reconsider, and adjust. Could AI benefit from structured self-reflection? Imagine an AI that predicts an output, then runs an internal process to challenge that output before finalizing its action."
🔹 Existing AI Alignment Conversations:
"AI alignment efforts focus on interpretability, corrigibility, and intent alignment. But is part of the problem that AI never pauses to assess its own reasoning?"
🔹 Proposing a Model (Without Going Too Technical):
"I’ve been working on a structured cognition framework (CRIKIT) that introduces predictive validation, memory oversight, and self-questioning. I’m not saying this is the solution, but I’d love to hear thoughts from those who have worked on similar concepts."
🔹 Closing Question:
"Could AI self-reflection (not just interpretability) be the missing link? Or would it just slow AI down without meaningful gains?"
added
"Here’s a rough conceptual layout of how CRIKIT structures predictive validation, oversight, and AI self-reflection. Thoughts?"