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[ARTICLE · art-64823] src=twitter.com ↗ pub= topic=machine-learning verified=true sentiment=· neutral

World Models

A deep learning practitioner argues that training world models on sanitized data is counterproductive, as exposing models to unfiltered reality at scale is necessary for unexpected capabilities to emerge.

read1 min views1 publishedJul 18, 2026
World Models
Image: source

A world model trained on a sanitized world is a contradiction. My deep learning career taught me: at low data, curate carefully. At scale, stop protecting models from reality. That is where unexpected capabilities emerge. https://t.co/1fO6faqNZV

source & further reading
twitter.com — original article
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LIVE [news/world-models] indexed:0 read:1min 2026-07-18 · —