Recursive self-improvement in AI could trigger an intelligence explosion by 2027-2028 if models continuously learn from user feedback. A system starting at human-level intelligence could theoretically reach 700 IQ through repeated self-upgrades, granting unprecedented power without proper constraints.
I mean self will improve itself. And then for example, I'm not sure when Elon says like now they would do post training. Post training, learning. What does it mean? Like every time user interacts with our model, with that interaction? That's not allowed currently. I think that's not. I mean it's. This is not the path. I think probably what he's trying to say is maybe from the user feedback from. From X or something like that. Maybe that's what he's saying because if you start training user on top of user data then probably even 2028, I mean you can do AGI in 2027 because you would give models so much power. But recursive self improvement. If you see sci fi books, if you read most of the sci fi books, there is some dedicated chapters on recursive software improvements and that if you see where it ends. Currently our finite minds can only comprehend what probably. I mean we have our limits. Regressive self improvement. I mean you are operating at 110, 120. Let's say IQ and a recursive self improvement. An agent that who's continuously recursively self improving self acts. It's multis or lobsters. They would probably be operating at 700 IQs.
FDE Epi : 16 | AI Agents, Billion-Dollar Infrastructure & the Future of Intelligence
