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MirroS unveils Code-as-World for video-to-physics simulation

MirroS has developed Code-as-World, a system that transforms real-world videos into executable MuJoCo physics simulations. This system employs an agentic loop to create and verify these simulated environments, which are then used to train physical reasoning capabilities. The approach achieved a score of 55.4 on the QuantiPhy validation, surpassing Gemini-3.1 Flash, and its checkpoints are publicly available. AI

IMPACT Enables more realistic training of AI agents in simulated physical environments, potentially accelerating progress in robotics and embodied AI.

RANK_REASON The item describes a new system for converting videos into physics simulations and its performance on a validation benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MirroS unveils Code-as-World for video-to-physics simulation

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14 / 100
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The item describes a new system for converting videos into physics simulations and its performance on a validation benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    MirroS has introduced Code-as-World, a system that converts real videos into executable MuJoCo physics programmes using an agentic loop. The model then uses the

    MirroS has introduced Code-as-World, a system that converts real videos into executable MuJoCo physics programmes using an agentic loop. The model then uses these verified worlds to train physical reasoning, scoring 55.4 on QuantiPhy validation - outperforming Gemini-3.1 Flash. T…