{"id":"dreamfar","slug":"dreamfar","name":"DreamFAR","orgId":"amazon","family":"dreamfar","releaseDate":null,"availability":"announced","openWeights":false,"license":null,"paramsTotal":null,"paramsSource":null,"contextWindow":null,"knowledgeCutoff":null,"modelCardUrl":"https://www.yimingdou.com/DreamFAR/","hfRepo":null,"modalities":["world-model"],"aliases":["DreamFAR","dreamfar","dream far","dream-far","amazon dreamfar","amazon far dreamfar"],"aliasNote":null,"origin":"tracked","tracked":{"trackedSince":"2026-10-30","announced":"2026-10-29","blurb":"Amazon FAR's action-conditioned world model for bimanual robot manipulation. It predicts the next camera frames from robot actions, so a person, a recorded episode or a policy can drive a simulated robot in real time. Its dynamics model is trained from scratch on robot teleoperation data with no internet-video pretraining. A live web demo is public; code and weights are announced but not yet released.","api":"none","openWeights":"announced","params":{"text":"1.9B dynamics transformer plus a 46M encoder and 50M decoder tokenizer (paper figures; weights not yet released)","source":"DreamFAR paper","unsure":true},"facts":[{"label":"Type","value":"Action-conditioned robot world model (latent flow matching) for bimanual manipulation"},{"label":"Architecture","value":"Causal transformer with 28 blocks of hidden size 2048 that predicts the next latent frame from the action, recent frames and contact-based memory keyframes retrieved by end-effector pose"},{"label":"Tokenizer","value":"Unit-sphere tokenizer fine-tuned from a pretrained SSDD-M checkpoint; each 256 x 256 camera view becomes a 16 x 16 grid of 16-dimensional latents"},{"label":"Training data","value":"Internal bimanual teleoperation dataset on YAM robots (two 6-DoF arms with parallel grippers, three camera views, 14-D actions at 10 Hz); dynamics trained from scratch, no internet-video pretraining"},{"label":"Training compute","value":"256 H200 GPUs for six days"},{"label":"Context","value":"5-second window of 50 frames plus eight memory slots and one learned sink frame"},{"label":"Control inputs","value":"Recorded actions, a policy, or a person via mouse, keyboard, webcam hand tracking or GELLO leader arms"},{"label":"Live demo","value":"Public web demo on the project page; one driver at a time in 4-minute sessions"},{"label":"Weights","value":"Code and model weights announced as coming soon; none published yet"},{"label":"Paper","value":"14-page PDF on the project page; no arXiv listing"},{"label":"Authors","value":"Amazon FAR, with co-authors from Cornell University, University of Maryland and University of Pennsylvania"},{"label":"Release","value":"Project page and X announcement Oct 29, 2026"}],"claims":["Lab claim: real-time interaction at 10 Hz (10+ FPS on a commercial GPU), 5+ minutes of autoregressive rollout, and generalization across 1,000+ tasks.","Lab claim: with every model trained on the public ABC dataset, DreamFAR averages 16.4 dB PSNR over 60-second rollouts on 1,000 held-out episodes, versus 15.8 for Cosmos-Predict 2.5, 14.5 for WEAVER and 11.0 for IWS, with the lowest LPIPS in every 10-second bin.","Lab claim: policy task progress inside DreamFAR correlates with the real robot at Pearson r = 0.71 across two policy checkpoints and three tasks; it is optimistic in absolute terms.","Lab claim: fine-tuning pi0 on 75 real plus 75 DreamFAR-teleoperated demonstrations of placing chip bags in a basket nearly doubles real-only task progress, to 63%."],"sources":[{"kind":"lab","title":"DreamFAR: Real-Time and Long-Horizon Interaction with Diverse Objects (project page)","url":"https://www.yimingdou.com/DreamFAR/","date":"2026-10-29"},{"kind":"paper","title":"DreamFAR paper (PDF)","url":"https://www.yimingdou.com/DreamFAR/assets/paper/DreamFAR.pdf"},{"kind":"lab","title":"Yiming Dou (Amazon FAR) on X","url":"https://x.com/_YimingDou/status/2115842800407466466","date":"2026-10-29"}],"firstBenchmark":null},"organization":{"id":"amazon","name":"Amazon","slug":"amazon","country":null,"url":null,"color":"#FF9900","mark":"Az"},"price":null,"answer":{"word":"Pending benchmarks.","scope":"Announced Oct 29, 2026; no independent results yet.","lead":"As of Nov 3, 2026, DreamFAR is pending benchmarks on isitsota: announced Oct 29, 2026, with no independent results on the boards we track yet.","confidence":"low"},"status":"PENDING_BENCHMARKS","verdicts":[]}