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SIMA 2: A Generalist Embodied Agent for Virtual Worlds research paper by Google DeepMind, 2025

Google DeepMind · Dec 4, 2025 · Agents and evaluation · 18 citations · 26 upvotes · unverified

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What it shows

SIMA 2, built on a Gemini foundation model, interacts in 3D virtual worlds, reasons about goals, handles complex instructions, and autonomously learns new skills through open-ended self-improvement.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
SIMA team, Adrian Bolton, Alexander Lerchner and 63 more
arXiv
2512.04797 · PDF
Venue
arXiv.org
Citations
18, 1 influential · Semantic Scholar
Upvotes
26 · Hugging Face
Lab
Google DeepMind · on Companies · on Acquisitions

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 18Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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