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Adithya S K releases SmolDataEnvs with 5,000+ verifiable RL tasks

Adithya S K

Adithya S K has released SmolDataEnvs, a collection of more than 5,000 verifiable reinforcement-learning environment tasks for hill-climbing small models in code and data science. Environments, evaluations, and training materials are open source.

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Only 35.8% of the cleanest public terminal-agent RL collection passed a Salesforce AI Research audit

Salesforce AI Research put that collection at 35.8% clean and two others at 10.1% and 3.3%, after finding reward errors in both directions. The authors say RIVER, which filters defective environments, increases RL gains by 106% on Terminal-Bench-Lite and 30% on Terminal-Bench v2.1 while using fewer than 30% of TMax's environments.

inclusionAI open-sources two 6B Ming-Image-0.1-Design models

inclusionAI has open-sourced the Ming-Image-0.1-Design family under the MIT License: two complementary 6B models, Design and Layer, for visual-design workflows. ModelScope says Design ranks first among open-weight models on the Artificial Analysis UI/UX Design leaderboard, and that Layer leads all 12 evaluated Crello settings while running 4.3× faster than the evaluated 20B open-weight baseline.