Latest research
June 29, 2026
DiScoFormer: One transformer for density and score, across distributions
DiScoFormer is a transformer-based density and score estimator that can infer both quantities from a finite sample in one forward pass, generalizing classical KDE while staying accurate in high-dimensional and out-of-distribution settings without retraining for each new distribution.June 25, 2026
Which tokens does a hybrid model predict better?
New token-level analyses of Olmo 3 and Olmo Hybrid show that hybrid models predict meaning-bearing, context-dependent tokens better than transformers, while transformers retain an edge on verbatim copying.June 17, 2026
MolmoMotion: Language-guided 3D motion forecasting
MolmoMotion is an open, language-guided 3D motion forecasting model that predicts how object points will move in the future, enabling stronger motion prediction for robotics, video generation, and other systems that need to reason about what happens next.June 12, 2026
olmo-eval: An evaluation workbench for the model development loop
olmo-eval is an open evaluation workbench that helps model developers add, run, and analyze benchmarks across changing LLM checkpoints, extending OLMES from final-score reproducibility into the day-to-day model development loop.May 19, 2026
OlmoEarth v1.1: A more efficient family of models
OlmoEarth v1.1 is a more efficient family of remote-sensing models that cuts compute costs by up to 3x while maintaining similar performance, making large-scale satellite mapping faster and cheaper to run.May 13, 2026
Introducing AIMIP: The AI weather and climate model intercomparison project
AIMIP is a new open benchmark and dataset for evaluating AI climate models, showing they can match or beat conventional models on some historical climate metrics while still struggling to generalize reliably to long-term warming trends and unseen climate scenarios.May 8, 2026
EMO: Pretraining mixture of experts for emergent modularity
EMO is a new mixture-of-experts model trained so modular expert groups emerge from data, enabling users to select small task-specific expert subsets while preserving near full-model performance.May 5, 2026
MolmoAct 2: An open foundation for robots that work in the real world
MolmoAct 2 is a fully open robotics foundation model that brings faster, stronger 3D action reasoning to real-world robot tasks, alongside a major new bimanual manipulation dataset for researchers to study, reproduce, and build on.April 30, 2026
AstaBench update: New results, plus adoption from industry
AstaBench’s latest update adds new frontier-model results, including GPT-5.5, and highlights growing adoption from groups including the UK AISI, General Reasoning, Elicit, SciSpace, Distyl AI, and EvoScientist.1-9Next