🚨 BREAKING: Princeton built an AI that went from nearly useless to highly personalized in just 36 conversations. Every time you tell an AI “that’s wrong” or ask it the same question twice because it missed the point that reaction is the most valuable feedback it could ever receive. Every AI system built today ignores it completely. Princeton built a system called OpenClaw RL that fixes this. The idea is simple: when you correct an AI, it learns from that correction on the spot. No engineers involved. No retraining. Just the conversation you’re already having. The model watches how you respond after each reply: > a re-ask means it failed > a smooth reply means it worked Over time, it figures out exactly what you want and adjusts to match it. In their tests: > an AI assistant went from being barely useful to highly personalized in just 36 conversations > a grading assistant learned to write warmer, more detailed feedback after only 24 interactions It got better simply by being used. > personalization score before: 0.17 > after 36 conversations: 0.81 > no retraining, no engineers, no downtime > works while the AI is still talking to you Every frustrated “no, that’s not what i meant” you’ve ever typed was a free lesson. AI just never kept it. Until now.