RynnValue trains robot reward models on 7,000 hours without preference labels
Open-source value foundation model replaces preference annotations with temporal distance, trains on 3M clips, and lifts real-world policy success from 52.5% to 72.5%.
Releases, platform updates, funding, industry shifts, community work, and research from across the AI scene.
Hugging Face model cards now include a direct deploy-to-SageMaker Studio button, letting AWS users spin up inference endpoints without leaving the browser.