'World models' are AI's latest sensation: what are they and what can they do?
World models are a new type of AI tool that are trained on real-world data to improve their capabilities in various technologies, including robotics. These models can create interactive and explorable environments, enhancing user experience compared to traditional generative AI. Major companies like Google and Nvidia are investing heavily in the development of these systems, which could revolutionize AI applications in research and industry.
- ▪World models are trained on data about physical environments to enhance AI capabilities.
- ▪They provide interactive experiences that allow users to explore virtual environments in real time.
- ▪Major technology firms and start-ups are investing significantly in the development of world models.
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| Original publisher | Nature |
| Canonical URL | https://www.nature.com/articles/d41586-026-00820-5 |
| Publication time | Tue, 28 Apr 2026 20:15:58 +0000 |
| Retrieval time | 2026-04-28T20:29:39.785Z |
| Last seen | 2026-04-28T20:29:39.785Z |
| 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 | DA5Y6dqkWlTm |
| 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
NEWS EXPLAINER 28 April 2026 ‘World models’ are AI’s latest sensation: what are they and what can they do? Training AI world models on data about physical environments could improve their real-world capabilities in technologies such as robotics. By Davide Castelvecchi Davide Castelvecchi View author publications Search author on: PubMed Google Scholar Email Bluesky Facebook LinkedIn Reddit Whatsapp X Nvidia’s Cosmos is one world model being trained on physics data about real-world environments.Credit: NVIDIA CorporationAn ongoing trend in artificial intelligence could have huge implications for how the technology is used in research.Machine-learning systems such as large language models (LLMs), which turn prompts into text, images and video, are becoming increasingly sophisticated and…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Nature.
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