I’ve been thinking about how AI systems often lose track of the original goal when solving complex problems. They can reason well, but keeping a long research process on track is a different challenge. I wonder if Jev could help with that by evaluating outputs, routing decisions, and keeping the system focused. Then combine that with better reasoning models, automated verification, and humans providing feedback when the AI gets stuck. It’s kind of like guided brute force, but the system learns which paths are worth exploring. Maybe the path to RSI isn’t just one superintelligent model, but multiple systems working together and continuously improving. Is this a realistic direction, or am I missing something fundamental? submitted by /u/--ITACHI
Originally posted by u/--ITACHI on r/ArtificialInteligence
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