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NYU Researcher Explains Why AI Models Still Struggle to Play Video Games

By

Matthew S. Smith

5h ago· 3 min readen

Summary

Julian Togelius, director of NYU's Game Innovation Lab and co-founder of Modl.ai, discusses a recent paper exploring why LLMs and AI models struggle with playing video games despite their rapid improvements in coding. He argues that coding is a "well-behaved game" with clear rules, while video games require general intelligence, adaptability, and real-time decision-making that current AI lacks. The article uses this gap to highlight the broader limitations of AI in 2026, challenging the perception that AI is close to human-level general intelligence.

Key quotes

· 2 pulled
It's not just LLMs that are bad at this. We do not have general game AI.
There's a widespread perception that because we can build AI that...
Snippet from the RSS feed
LLMs can code your retro shooter but still fail at playing Halo; see what this gap reveals about AI’s real limits in 2026

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