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EdgeTAM, real-time segment tracker by Meta is now in @huggingface transformers with Apache-2.0 license 🔥 > 22x faster than SAM2, processes 16 FPS on iPhone 15 Pro Max with no quantization > supports single/multiple/refined point prompting, bounding box prompts https://x.com/mervenoyann/status/1986785795424788812
NVIDIA World Simulation with Video Foundation Models for Physical AI https://huggingface.co/papers/2511.00062
you can now push, run, and pull agentic environments from the hugging face hub as spaces. the workflow looks like this: – do `openenv init` to start a new environment from a template – build/port your rl environment – use `openenv push` to push the environment to hub. – from https://x.com/ben_burtenshaw/status/1986097540068950149
We’re introducing EnvHub to LeRobot! Upload simulation environments to the @hugginigface hub, and load them in lerobot, with one line of code ! env = lerobot.make_env(“”username/my-env””, trust_remote_code=True) Back in 2017, @OpenAI called on the community to build Gym https://x.com/jadechoghari/status/1986482455235469710
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