Ai2 Blog

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.

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.

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.

Artificial Analysis uses Ai2’s open IFBench eval because it captures a stubborn, real-world capability many benchmarks miss: whether models can reliably follow complex, multi-part user instructions.

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.

Ai2 is bringing NSF OMAI compute online to power a fully open AI research ecosystem, turning national infrastructure investment into reusable models, data, methods, and tools that can accelerate scientific discovery.

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.

Interim CEO Peter Clark shares his thoughts on this moment for Ai2, our commitment to open science, and where the institute is headed next.

OlmPool is a controlled suite of 26 models showing how small architecture choices can compound to make long-context extension much harder, even when training data and extension recipes are held constant.

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.

MolmoPoint and MolmoWeb extend the Molmo family from visual understanding to visual action, giving researchers open tools for models that can point, navigate, and interact with the world they see.

OlmoEarth Studio now lets users export custom Earth-observation embeddings from our OlmoEarth foundation models and use them for tasks like similarity search, few-shot mapping, change detection, and unsupervised exploration.

For the past 10 years, Ai2 has built open, real-time tools that help people protect wildlife, oceans, and ecosystems around the world.

BAR is a recipe for post-training language models one capability at a time—train domain experts independently, merge them into a single mixture-of-experts model, and upgrade any expert without impacting the others.

Two benchmarks developed at Ai2 – ScienceWorld and DiscoveryWorld – reveal that even incredibly strong AI science agents struggle with problems human scientists solve routinely.

Most vision systems can tell you what is in an image. Far fewer can tell you where that object sits in three dimensions – how far away it is, how large it is, and how it's oriented – from a single photograph. This is the core challenge of spatial intelligen

Highlights from Ai2 at NVIDIA GTC 2026 March 23, 2026 Ai2 Ai2 was at NVIDIA GTC 2026 last week, and through panels, livestreams, expo floor demos, and partner events, we kept coming back to the same principles: reproducibility, transparency, and practical utility. In case you missed it, here’s a quick recap of the key moments. Open models: beyond releasing weights We participated in several panel…