Denis O. : Seed IQ topological perception has improved to the point where we are now beating the best ARC AGI 3 human baselines on some of the most complex games available through the API by roughly half while scoring 100%. In practical terms, Seed IQ is now performing at 2-3× human baseline efficiency, consistently and deterministically. But the important part is not just the score. It is why the score is improving. 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, 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. That is why the performance is now both faster and more deterministic. Seed IQ is not just playing better. It is perceiving the structure underneath the game better. Meanwhile Greg or the guy running the arc prize is busy squeezing 1% from foundational LLMs with some new cool GPUs they got donated 😁😁😆🤣💀💀🐼 Additionally,Please see attached links for video game play and scorecard. AIX Global Innovations Denise Holt #ai https://arcprize.org/replay/a173a874-eb3f-417f-ac55-d736357d6a57 https://arcprize.org/scorecards/dcf7f8f9-c5a3-44a2-b747-19d2b55e5ade submitted by /u/Fit_Transition8824
Originally posted by u/Fit_Transition8824 on r/ArtificialInteligence