The Next Evolution of AI Is Learning From Your Dodgy Gaming Skills
Trained only on words, LLMs are perhaps ill-equipped to pilot autonomous vehicles, steer robotic arms, or perform any other action that requires finesse and precision. To remedy that shortcoming, a crop of celebrated researchers including Fei-Fei Li and Yann LeCun are focusing their efforts on a different class of AI: world models.To become fluent in real-world physics, world models need to be trained on a combination of visual and action data. Before it can deftly maneuver a robotic arm, a model might need to be trained on video footage of the factory floor, coupled with information about how firmly an object should be gripped, with what torque it’s manipulated, and so on.
- ▪Trained only on words, LLMs are perhaps ill-equipped to pilot autonomous vehicles, steer robotic arms, or perform any other action that requires finesse and precision.
- ▪To remedy that shortcoming, a crop of celebrated researchers including Fei-Fei Li and Yann LeCun are focusing their efforts on a different class of AI: world models.To become fluent in real-world physics, world models need to be trained on
- ▪Before it can deftly maneuver a robotic arm, a model might need to be trained on video footage of the factory floor, coupled with information about how firmly an object should be gripped, with what torque it’s manipulated, and so on.
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| Original publisher | WIRED — Business |
| Canonical URL | https://www.wired.com/story/the-next-evolution-of-ai-is-learning-from-your-dodgy-gaming-skills/ |
| Publication time | Mon, 28 Sep 2026 09:00:00 +0000 |
| Retrieval time | 2026-09-28T09:06:07.685Z |
| Last seen | 2026-09-28T09:06:07.685Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | F7_TO2D2uUBL · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Joel KhaliliBusinessSep 28, 2026 5:00 AMThe Next Evolution of AI Is Learning From Your Dodgy Gaming SkillsA British startup is shaping video game inputs into training data for AI models that can navigate the physical world.Photo-Illustration: WIRED Staff; Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storyWith the twirl of a thumbstick, squeeze of a trigger, and press of a few buttons, even an unskilled player can dance their way through a 3D video game environment.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at WIRED — Business.
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