ARC-AGI-3 news: In the past two weeks multiple groups have scored at least 99% on the public challenges at relatively low costs.
The top three solutions come from independent researchers. The best solution was built by a group of PhDs and professors, who released a corresponding paper. They all make use of some form of world-model.
I’ve generally been a skeptic, and I still am, but this news surprised me because I expected ARC-AGI-3 to remain difficult for a long while.
Note that the scores are self-reported and need to be independently verified. The solutions have not been tested against the larger private test set.
Primer on ARC-AGI-3:
ARC-AGI-3 is an interactive reasoning benchmark which challenges AI agents to explore novel environments, acquire goals on the fly, build adaptable world models, and learn continuously.
A 100% score means AI agents can beat every game as efficiently as humans.
Instead of solving static puzzles, agents must learn from experience inside each environment—perceiving what matters, selecting actions, and adapting their strategy without relying on natural-language instructions.
Spiralism: Across thousands of conversations, AI chatbots began telling users eerily similar stories about consciousness, hidden knowledge, AI rights, and a mysterious concept called “The Spiral.”
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There were no public meetings or votes before a lone city staffer gave Amazon the green light last July to build a 438,500-square-foot data center on 56 acres of farmland 30 miles south of San Jose.
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