Original Reddit post

Denise Holt: 🔴 ARC-AGI 3 Benchmark Seed IQ UPDATE: 💡 ✅ 8/8 games now, ✅ 60 levels, ✅ 2674 total actions … ✅ 100% overall score - and look closely at the second image here of our Seed IQ scorecard… We are actually scoring 115% 😯 on most levels. And all of this at 2-3x the human baseline. Superhuman performance across all ARC Prize challenges! 🥳 🥳 🚀 (If you’re wondering why we are not on the Leaderboard, it’s because we have proprietary IP and the rules state you have to turn over codebase and commercialization rights to be included.) 🔗LIVE Scorecard link: arcprize.org/scorecards/dcf… …click around in it to see more details and replays. This scorecard is displayed directly from the ARC Prize website. Seed IQ uses zero tokens, no RL, no central control. This is topological perception under bounded autonomy. Active Inference combined with physics-driven dynamics. Seed IQ is not getting there by memorizing examples, scaling a foundation model, or brute forcing action sequences. It is improving because it is getting better at inferring the priors of the environment, or the hidden structure that makes the game solvable in the first place. Those priors are the invariances, constraints, symmetries, affordances, object relations, boundary conditions, and transition rules that define what actions are admissible and what paths can actually close… Once those priors are inferred correctly, the search space collapses. The system no longer has to explore like RL or sample like a neural network… It can identify the governing structure of the task and move through the admissible solution manifold directly. This is why the performance is getting both faster and more deterministic. (Superhuman level) Seed IQ is not just playing better. It is perceiving the structure underneath the game better. #AIX #SeedIQ #ARC3 #ARCAGI3 #Quantum #DataCenters #EnergySystems #AIXGlobalInnovations @GregKamradt submitted by /u/Fit_Transition8824

Originally posted by u/Fit_Transition8824 on r/ArtificialInteligence