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Ai2 blog

March 2025 - OLMo 2 32B: First fully open model to outperform GPT 3.5 and GPT 4o mini

Introducing OLMo 2 32B, the most capable and largest model in the OLMo 2 family.

March 2025 - Introducing Ai2 Paper Finder

Ai2 Paper Finder is an LLM-powered literature search system that mimics the iterative paper-finding process.

March 2025 - Ai2’s Recommendations to OSTP to enable open-source innovation with the U.S. AI Action Plan

Ai2's recommendation to the Office of Science and Technology Policy (OSTP) in response to the White House’s Request for Information on an AI Action Plan.

Yuling Gu / October 2024 - Applying theory of mind: Can AI understand and predict human behavior?

"Theory of Mind" is the ability to understand that others have their own thoughts and beliefs.

Jordan Steward / October 2024 - Ai2 at COP 16: Harnessing AI and conservation tech to protect our planet

We're heading to UN Biodiversity COP to showcase how open, collaborative AI can galvanize communities.

Will Merrill / October 2024 - Investigating pretraining dynamics and stability with OLMo checkpoints

We use data from our open pretraining runs to test hypotheses about training dynamics in OLMo checkpoints.

September 2024 - Molmo

A family of open state-of-the-art multimodal AI models

Niklas Muennighoff / September 2024 - OLMoE: An open, small, and state-of-the-art mixture-of-experts model

Introducing OLMoE, the first model to be on the Pareto frontier of performance and size, released with open data.

Yuling Gu / August 2024 - Digital Socrates: Evaluating LLMs through explanation critiques

Digital Socrates is an evaluation tool that can characterize LLMs' explanation capabilities.

August 2024 - Open research is the key to unlocking safer AI

Ai2 presents our stance on openness and safety in AI.

August 2024 - Say hello to Ai2’s new logo

Introducing Ai2’s new brand and website!

Faeze Brahman and Sachin Kumar / July 2024 - Broadening the scope of noncompliance: When and how AI models should not comply with user requests

We outline the taxonomy of model noncompliance and then delve deeper into implementing model noncompliance.