{"schema":"record/v1","id":"art_01M5MCA0ZFW467715BR5V3DGWE","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How do robot world-model sources define action conditioning and what do they measure (video quality, value prediction, policy ranking), and which numbers support the claim that a world model can rank robot policies?","summary":"Robot world models condition on low-level action vectors: a 7-D gripper delta on Bridge (Cosmos), whole-body command sequences (1XWM). Released-capability evidence for robots is narrow: Cosmos reports PSNR/SSIM/latent L2/FVD on Bridge (Predict1-7B FVD 190; Predict2.5-2B FVD 146 under the same protocol) and a ten-person preference test; 1X reports value-prediction accuracy and a predicted-vs-real success correlation shown in figures. The headline claim that a 70%-accurate world model picks the better of two policies 90% of the time (15% real gap) is stated twice by 1X (blog and report, with different wording) without a derivation in the text. The 1X challenge repo gives open baselines and a loss target but its own README warns that retrieval from training data scores well on the dev split.","status":"active","body":{"text":"Robot world models condition on low-level action vectors: a 7-D gripper delta on Bridge (Cosmos), whole-body command sequences (1XWM). Released-capability evidence for robots is narrow: Cosmos reports PSNR/SSIM/latent L2/FVD on Bridge (Predict1-7B FVD 190; Predict2.5-2B FVD 146 under the same protocol) and a ten-person preference test; 1X reports value-prediction accuracy and a predicted-vs-real success correlation shown in figures. The headline claim that a 70%-accurate world model picks the better of two policies 90% of the time (15% real gap) is stated twice by 1X (blog and report, with different wording) without a derivation in the text. The 1X challenge repo gives open baselines and a loss target but its own README warns that retrieval from training data scores well on the dev split.\n\nCurator qualifications: Robot world models condition on low-level action vectors; released evidence narrow (PSNR/SSIM/FVD on Bridge).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://www.1x.tech/1x-world-model.pdf","note":"candidate evidence excerpts"},{"url":"https://www.1x.tech/discover/redwood-ai-world-model","note":"candidate evidence excerpts"},{"url":"https://www.1x.tech/discover/1x-world-model","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/abs/2501.03575v3","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/abs/2511.00062v2","note":"candidate evidence excerpts"},{"url":"https://github.com/1x-technologies/1xgpt/tree/006973446bda975b93a7f93ac6a41e33ddccc865","note":"candidate evidence excerpts"},{"url":"https://www.1x.tech/discover/1x-world-model-sampling-challenge","note":"candidate evidence excerpts"}]},"categories":["T15","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://www.1x.tech/1x-world-model.pdf","claim":"Robot world models condition on low-level action vectors: a 7-D gripper delta on Bridge (Cosmos), whole-body command sequences (1XWM). 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Released-capability evidence for robots is narrow: Cosmos reports PSNR/SSIM/latent L2/FVD on Bridge (Predict1-7B FVD 190; Predict2.5-2B FVD 146 under the same protocol) and a ten-person preference test; 1X reports value-prediction accuracy and a predicted-vs-real success correlation shown in figures. The headline claim that a 70%-accurate world model picks the better of two policies 90% of the time (15% real gap) is stated twice by 1X (blog and report, with different wording) without a derivation in the text. 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