We seem to be in a situation where we cannot see the forest for the trees in the philosophy of how to make AI more capable. We are ignoring the only known working intelligence multiplier we have encountered : human civilization What if we built a framework for current models to use that acts like a durable civilization scaffold. No retraining or model weight modification needed. The civilization scaffold would preserve agentic solutions with provenance, it would filter out bad results, and as it grew it would allow agents to stop reproducing already closed avenues of investigation, what did or did not work, what still needs investigation. It can pick up right where previous agents left off and springboard ahead. We keep retraining brute force - that is not the answer. An artificial civilization scaffold would be the place where the capabilities improve not the model. Eventually you could distill out the improvements and viable chains of investigation for model training. In the meantime the civilization scaffold allows current models to improve immediately and recursively when using the scaffold. And controlling the scaffold is another control surface that can be rolled back or suspended if needed while preserving the model at its current level submitted by /u/New_User_1970
Originally posted by u/New_User_1970 on r/ArtificialInteligence
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