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Why Are Large Language Models So Terrible at Video Games?

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Why Are Large Language Models So Terrible at Video Games?
TL;DR · WeSearch summary

Large language models (LLMs) have shown proficiency in coding simple games but face challenges when it comes to playing them. Researchers like Julian Togelius from NYU's Game Innovation Lab are investigating the limitations of LLMs in video game environments. The findings highlight a gap between coding capabilities and gameplay performance in AI models.

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IEEE Spectrum · https://www.facebook.com/48576411181
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Original publisherIEEE Spectrum
Canonical URLhttps://spectrum.ieee.org/ai-video-games-llms-togelius
Publication timeMon, 01 Jun 2026 09:14:26 +0000
Retrieval time2026-06-01T09:50:54.204Z
Last seen2026-06-01T09:50:54.204Z
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SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
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Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

AIInterview Why Are Large Language Models So Terrible at Video Games? AI models code simple games, but struggle to play themMatthew S. Smith29 Mar 20264 min readMatthew S. Smith is a contributing editor for IEEE Spectrum and the former lead reviews editor at Digital Trends.Julian Togelius is the director of NYU's Game Innovation Lab and researching LLMs' video game capabilities. Julian Togelius {"customDimensions": {"5":"Matthew S. Smith","11":2676614974,"7":"llms, artificial-intelligence, video-games","10":"llms","6":"artificial-intelligence","8":"03/29/2026"}, "post": {"id": 2676614974, "providerId": 0, "sections": [497728257, 497728259, 2267926519, 544169527, 544169516, 2289616916, 2289599765, 2289601209], "authors": [22900948], "tags": ["llms", "artificial-intelligence",…

Excerpt limited to ~120 words for fair-use compliance. The full article is at IEEE Spectrum.

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