# The Next Evolution of AI Is Learning From Your Dodgy Gaming Skills

- URL: https://talkfuse.com/story/the-next-evolution-of-ai-is-learning-from-your-dodgy-gaming-skills/
- Published: 2026-09-28T09:00:00+00:00
- Updated: 2026-09-28T09:25:08+00:00
- Original publisher: Wired
- Original article: https://www.wired.com/story/the-next-evolution-of-ai-is-learning-from-your-dodgy-gaming-skills/
- Topics: AI, Art, Business, Celebrity, Companies, Culture, Entertainment, Gaming, Technology, UK, World

## Key points

- AI researchers pivoting to "world models" requiring visual and action data for physical-world tasks
- Worldmodeldata licensing video game data; secured ~1 million hours from studios for training
- Video games provide cause-and-effect scenarios at scale unavailable elsewhere for model development

## Summary

The AI industry is recognising that large language models, trained solely on text, are ill-equipped for physical-world tasks such as piloting autonomous vehicles or operating robots. Leading researchers, including Fei-Fei Li and Yann LeCun, are now focusing on "world models"—a different class of AI that requires training on visual and action data to understand real-world physics. However, unlike the vast text corpora available for language models, there is currently no comparable dataset for world models, creating a significant bottleneck to progress.

Worldmodeldata, a British startup advised by LeCun, aims to solve this problem by licensing video game data as training material. The company has secured approximately 1 million hours of gameplay footage from popular game studios, reasoning that games provide precisely what world models need: millions of diverse scenarios paired with player actions and consequences. Supporters argue that this abundance of diverse, varied data—including edge cases—makes video games ideal for training models on safety-critical tasks like autonomous vehicles and industrial robotics, though some, including Nvidia, remain sceptical of the approach.

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Summarised by TalkFuse (https://talkfuse.com/). Quote the original publisher for the reporting and link this page for the summary and discussion.