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Nathan Cloos is a researcher affiliated with Massachusetts Institute of Technology.
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AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
arXivresearchcautiousMar 2, 2026
AI GameStore, a scalable evaluation platform using games from human digital platforms, reveals that frontier vision-language models achieve less than 10% of human average performance on most games, particularly struggling with world-model learning, memory, and planning tasks.
“Author of "AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence wi" on arXiv”
AI ResearchFoundation ModelsMultimodal AIBenchmarking