WIRED reports there is no corpus of training material for world model labs comparable to the text available to language models.
no corpus comparable to text
Dated 28 Sep 2026Source checked 25 Oct 2026Basis: reported
In the source's own words
“But unlike LLMs, trained on oceans of text, there is no similar corpus of material available to world model labs.”
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- Worldmodeldata, which raised a GBP 7M seed in July 2026 to supply gameplay data for world models, says it has licensed almost 1 million hours of data from studios behind popular video games; it names no studio and states no price, and paying individual players is a plan, not yet an arrangement.
- Worldmodeldata is packaging controller inputs and other data collected by video game studios to fill the shortage of world-model training data.
- Worldmodeldata pitches itself as a broker that curates studio data so labs avoid striking individual agreements with many game studios.
- General Intuition and Niantic are already collecting video game data from their own platforms to build models.
- Worldmodeldata's CEO believes video game data will make up the majority of world-model training material, later tuned with task-specific data.
- Nvidia's world model lead says models trained on video game inputs are unlikely to do well at fine-grained motor control such as object manipulation.
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