Ai2
25 stories
Ai2LabsWhat a crowdsourced game revealed about steering Olmo 3 A crowdsourced game built on Olmo 3 showed how people can exploit unexpected model behaviors to stress-test prosocial AI evaluations—and how open access to a model’s internals can help researchers…
Ai2LabsTeaching future scientists to interrogate AI tools for scientific discovery University of Washington students put Ai2’s AutoDiscovery to the test, showing how AI can surface promising scientific leads while making human judgment, domain expertise, and rigorous validation…
Ai2LabsHow Goodfire used Ai2’s open post-training stack to trace unwanted model behavior Goodfire used Ai2’s fully open post-training stack to predict LLM behavioral changes, trace unwanted model behavior back to individual training examples, and test targeted fixes without sacrificing…
Ai2LabsBenchMIRT: What are LLM benchmarks actually measuring? BenchMIRT is a new method for auditing LLM benchmarks question by question, revealing which capabilities they actually measure and helping researchers build smaller, more focused, and…
Ai2LabsThe hard parts of AI-assisted science At an Ai2 event marking our expanded collaboration with Providence Swedish, researchers explored the hardest problems in AI-assisted science: keeping systems steerable, grounded in human judgment and…
Ai2LabsAi2 and Providence Swedish Cancer Institute partner to advance AI-assisted scientific discovery Ai2 and Providence Swedish Cancer Institute are expanding their collaboration after AutoDiscovery helped researchers uncover and validate a promising new immune signal in invasive lobular breast…
Ai2LabsHow researchers adapted Dolma for better Thai language models Thai researchers adapted Ai2’s open Dolma toolkit to build Mangosteen, a 47-billion-token Thai corpus that filters low-quality web data while maintaining or improving model performance and…
Ai2LabsHow a Georgia Tech team used the open Olmo stack to trace social reasoning A Georgia Tech team used Ai2’s fully open Olmo stack to trace social reasoning back to the training data that shaped it, finding that dialogue-rich, interpersonal writing had an outsized influence on…
Ai2LabsWhen a model reads a drug's class from its name—not its knowledge Researchers used Olmo 3 and its open training data to show that models can infer a drug’s class from its name instead of knowing the specific medication, and traced that shortcut to how often drugs…
Ai2LabsTutorMoments: Do AI tutors know when to help and when to hold back? TutorMoments is an open, replay-based evaluation framework that tests whether AI tutors can recognize when to support a student and when to hold back and encourage deeper reasoning.
Ai2LabsAi2 expands collaboration with Hugging Face to accelerate open science Ai2 is expanding its partnership with Hugging Face to give its growing portfolio of fully open models, datasets, benchmarks, and applications the storage, bandwidth, and integrations needed to reach…
Ai2LabsTracing distinctive language in AI-written text Stony Brook researchers used our infini-gram engine to trace distinctive phrases in AI-generated writing back to existing sources, finding that top-selling self-published books on Amazon with…
Ai2LabsThe OlmoEarth Platform: Geospatial inference at planetary scale How we built the OlmoEarth Platform to fine-tune geospatial models and run continent-scale satellite inference while managing massive data pipelines, distributed compute, and automatically recovering…
Ai2LabsWho gets to understand AI? Why fully open models and research artifacts are essential to independent scrutiny, broader participation, and continued U.S. scientific leadership in AI.
Ai2LabsWhat building Shippy taught us about building agents Building Shippy taught us that reliable agents depend less on the model itself than on deterministic tools, explicit guardrails, isolated infrastructure, and evaluations grounded in real-world…
Ai2LabsMolmoAct 2 shows what open models can unlock for robotics Robotics engineer Binh Pham used MolmoAct 2 to build a voice-controlled robot that won South Park Commons’ embodied AI hackathon.
Ai2LabsModular LLMs at scale: how FlexOlmo is helping to pool national expertise without pooling sensitive data Danish Foundation Models is using FlexOlmo as the basis for FlexMoRE, a more efficient modular LLM architecture that lets institutions contribute specialized experts trained on sensitive or…
Ai2LabsDiScoFormer: 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…
Ai2LabsWhich 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…
Ai2LabsHow Domyn and AISquared built on Ai2's open releases Domyn and AISquared show how Ai2’s open releases are helping AI labs build models for regulated industries, where transparency, provenance, licensing, and control are essential for customer trust and…
Ai2LabsMolmoMotion: 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…
Ai2Labsolmo-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…
Ai2LabsBuilding accessibility tools on a truly open foundation PointCheck, an independent project, uses Molmo, MolmoWeb, and Olmo 3 to test web accessibility the way a keyboard user would—by navigating real pages and inspecting what's actually on screen.
Ai2LabsOlmoEarth 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…
Nothing matches this filter yet.