Robbyant releases LingBot-Video, an open model that predicts future frames from action signals
Robbyant released LingBot-Video, an open-weight model that takes a first frame and an action signal to predict subsequent video frames. The model sparks debate on whether such action-conditioned video prediction qualifies as a world model, compared to approaches like Dreamer or JEPA.
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OpenCoF framework and dataset released for Chain-of-Frame reasoning in video generation
Researchers introduced OpenCoF, a framework comprising the OpenCoF-17K dataset, designed to enable Chain-of-Frame (CoF) reasoning in video generation models. This approach uses temporally connected frames as a reasoning path, distinct from traditional Chain-of-Thought (CoT). The work addresses the lack of dedicated supervision for CoF reasoning in existing video generators.
LeRobot v0.6.0 adds world model policies, new VLAs, and unified evaluation
LeRobot v0.6.0 introduces world model policies (VLA-JEPA, FastWAM, LingBot-VA) that learn to imagine future states, along with new VLAs (GR00T N1.7, MolmoAct2, EO-1, EVO1, Multitask DiT). It ships six new simulation benchmarks unified under lerobot-eval, a lerobot-rollout CLI with DAgger-style human-in-the-loop corrections, FSDP training, and cloud training on HF Jobs. Datasets gain depth support, automatic language annotation, custom video encoding, and up to 2x faster data loading.
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
Researchers introduced ARDY, a streaming generation framework that enables real-time synthesis of 3D human motions with text and kinematic control, bridging the gap between offline precision and online speed. The method addresses limitations in existing online approaches regarding controllability and complex text semantics.
Moondream releases 3.1-9B-A2B vision-language model with mixture-of-experts architecture
Moondream 3.1 is a vision language model with a mixture-of-experts architecture (9B total parameters, 2B active). It delivers state-of-the-art visual reasoning and detection while staying fast and cheap to deploy. Skills include query, detect, point, and caption, all native and all returning structured output.
LingBot World open-weights game engine released, runs on consumer GPU
LingBot World, an open-weights game engine with WASD movement and hotkeys for storms, fire, and lightning, was released with a variant targeting a single consumer GPU. The city renders frame by frame as the player moves, but areas are not remembered when revisited. Weights are publicly available.
