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@simworld_ai
Open-source initiative for open-ended realistic simulation of autonomous agents in physical and social worlds
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A post introduces RT-SAFE as a way to evaluate embodied AI safety while the world keeps moving.
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The benchmark’s creators say they tested 14 agent configurations on 95 public cases. Spatial composition was every agent’s weakest construction category.
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The tester says both models used the same prompt and asset pack, but Fable 5.1 repeatedly left objects floating above the ground. GPT-6’s placement was better, though still imperfect, in their account.
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Assistant professor shares interest in a post from EnactraAI on X.
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Initiative targets open-ended simulations of autonomous agents in physical and social settings.