Ryan Truong is a recent UCSD graduate who focused on Bioinformatics with a minor in Computer Science.
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Ryan Truong as author
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”