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Lance Ying

@lanceying.bsky.social
36 followers 25 following 11 posts

AI & CogSci researcher at Harvard & MIT. Building human-like intelligence in Machines.

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Lance Ying @lanceying.bsky.social · 23/02/2026
Lastly, thanks to all my collaborators: @heyodogo.bsky.social Prafull Sharma @kyzhao-ivy.bsky.social @nacloos.bsky.social Kelsey Allen, Tom Griffiths @cocoscilab.bsky.social , Katie M Collins, José Hernández-Orallo, @phillipisola.bsky.social @gershbrain.bsky.social and Josh Tenenbaum
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Lance Ying @lanceying.bsky.social · 23/02/2026
We have released 10 games to the public. Play them or build agents to solve them on our website (aigamestore.org).
aigamestore.org
AI GameStore - Scalable Evaluation of Machine Intelligence
A benchmark platform for evaluating AI agents across browser-based games.
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Lance Ying @lanceying.bsky.social · 23/02/2026
Please check out our paper on Arxiv: arxiv.org/abs/2602.17594
arxiv.org
AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging in this era of rapid technological advance. Conven...
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Lance Ying @lanceying.bsky.social · 23/02/2026
In its current state, the AI GameStore is still relatively primitive, and we are actively expanding it to include more diverse and challenging games. Yet, we hope it serves as an example and a catalyst for building more general, scalable, open-ended evaluation for machine general intelligence.
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Lance Ying @lanceying.bsky.social · 23/02/2026
We also find that models tend to struggle with games that stress test memory, planning and world model learning. Additionally, model performance tends to be lower on games that challenge multiple capabilities simultaneously.
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Lance Ying @lanceying.bsky.social · 23/02/2026
As a proof of concept, we generated 100 such games based on the top charts of Apple App Store and Steam Most frontier VLMs today struggle to make progress on these games, reaching less than 10% of human median score for the majority of the games while taking significantly longer to complete.
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Lance Ying @lanceying.bsky.social · 23/02/2026
Taking a first step towards this vision, we introduce the AI GameStore, a scalable and open-ended platform that uses LLMs with humans-in-the-loop to automatically construct standardized and containerized variants of popular human games on digital gaming platforms for AI Evaluation.
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Lance Ying @lanceying.bsky.social · 23/02/2026
The Multiverse of Human Games cover nearly all human skills and interests, and serve as vital cultural artifacts: by abstracting and containerizing real-world complexities, humanity has collectively created a curriculum for training and preparing individuals for surviving in the open world.
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Lance Ying @lanceying.bsky.social · 23/02/2026
The proposition that the set of all conceivable human games serves as a robust proxy for general intelligence is rooted in the teleology of play itself: humans design, engage in, and propagate games to prepare themselves for the multifaceted challenges that they are likely to encounter.
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Lance Ying @lanceying.bsky.social · 23/02/2026
We define a “human game” to be a game designed by humans for humans, and argue for the evaluative suitability of this space of all such games people can imagine and enjoy -- the Multiverse of Human Games
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Lance Ying @lanceying.bsky.social · 23/02/2026
Today we present a new framework for measuring human-like general intelligence in machines: studying how and how well they play and learn to play all conceivable human games compared to humans. We then propose the AI Gamestore a way to sample from popular human games to evaluate AI models.
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Reposted by Lance Ying
xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 05/11/2025
How do people flexibly integrate visual & textual information to draw mental inferences about agents we've never met? In a new paper led by @lanceying.bsky.social, we introduce a cognitive model that achieves this by synthesizing rational agent models on-the-fly -- presented at #EMNLP2025!
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