activity
20242026
most citedAssessing Adaptive World Models in Machines with Novel Games

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Is this machine playing?

Nathan Cloos, Antonio Norelli, Daniel Durbin +3

We placed a modern AI coding assistant in an unintended role: as the mind of a body on an unknown digital island. With only a minimal instruction mentioning no specific task, rewar…

cs.AI2026★ 1 cited

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

Lance Ying, Ryan Truong, Prafull Sharma +9

Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging in this era of rapid technolog…

cs.AI2026

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs

Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma +4

Large language models (LLMs) are increasingly being used to evolve solutions to problems in many domains, in a process inspired by biological evolution. However, unlike biological…

cs.AI2025★ 2 cited

Assessing Adaptive World Models in Machines with Novel Games

Lance Ying, Katherine M. Collins, Prafull Sharma +11

Human intelligence exhibits a remarkable capacity for rapid adaptation and effective problem-solving in novel and unfamiliar contexts. We argue that this profound adaptability is f…

cs.AI2024★ 1 cited

Automating the Search for Artificial Life with Foundation Models

Akarsh Kumar, Chris Lu, Louis Kirsch +4

With the recent Nobel Prize awarded for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scient…