ToyBlocks: A controlled world for robot learning and evaluation
ToyBlocks is an open simulation framework for studying robot learning through automated task generation, training demonstrations, and evaluation in a controlled tabletop world.
Sources / Allen Institute for AI (Ai2)
Allen Institute for AI (Ai2)
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Ai2 and Google collaborate on a new generation of climate models
With funding from Google.org and technical support from Google Research, Ai2 is developing NeuralGCM+, an open-source model designed to combine physics and AI to simulate the atmosphere and ocean together for faster, more reliable long-term climate projections.
StateBench: Testing how language models track state changes over long documents
StateBench tests how language models track changing information across long documents at four difficulty levels, revealing where models struggle and how targeted training helps recurrent and hybrid architectures handle longer sequences.
How Olmo 3 earned the highest ethical rating from Nextcloud
Nextcloud chose Olmo 3 for fully open, self-hosted AI, earning its highest Ethical AI rating while making local AI practical on consumer hardware.
How researchers are adapting olmOCR 2 for historical and archaeological archives
Researchers are adapting olmOCR 2 to make historical photo libraries searchable locally and improve transcription of handwritten archaeological records.
Can we trust LLMs to judge whether a research idea is novel?
Old Ideas, Novel Problems tests how reliably LLMs judge the novelty of research ideas, finding that small changes to the evaluation setup can produce very different verdicts.
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
LitPivot helps researchers refine early research ideas through literature-supported critiques and revisions as their proposals evolve.
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
OlmoEarth v1.3 brings state-of-the-art satellite embeddings, precomputed global data, and a browser-based Embeddings Explorer for mapping and analyzing the planet.
A crop-mapping benchmark for the tropics
PLANTEUR extends the PASTIS crop-mapping benchmark to six tropical regions to help evaluate geospatial models across more diverse agricultural systems.
FairStress: A deeper evaluation of fairness in LLM decision-making
FairStress is a new benchmark that reveals demographic differences in how LLMs defend and explain their decisions, even when their final choices appear fair.
HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
HiRO-ACEv2 captures extreme rain, wind, and pressure events at 3 km resolution for about 1/300th the cost of X-SHiELD, making detailed global climate simulations more accessible to researchers.
How Molmo 2’s open release helped an MIT researcher rethink fish tracking
Molmo 2’s open release helped MIT researcher Kai Van Brunt develop Molmo2Fish, an experimental model that tracks salmon in sonar footage and corrects some tracking errors using everyday language.
Impactful scheduling for GPU clusters
We explain how Ai2’s new GPU scheduler uses time budgets, fair-share allocation, and time-slicing to prioritize high-impact research, shorten queue waits, and keep GPUs busy.
Ai2 at COLM 2026: Open research, from models to agents for science
Ai2 joined COLM 2026 to share advances in open language models, training infrastructure, and AI for science, including Olmo Hybrid, Asta, and Bolmo, while connecting with the broader research community.
Now in Nature: Retrofitting language models to operate over bytes
The technique behind Bolmo, Ai2’s fully open byte-level language models, is now published in Nature, with new checkpoints showing the approach generalizes beyond Olmo to other model families.
Open-sourcing AstaBrief, the fast report-generation model in Asta
We’re releasing AstaBrief, an 8B open-weights model for generating cited scientific reports, available in Asta’s Fast mode or to download and run on your own infrastructure.
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
Olmo-core 3 introduces a redesigned, fully open training stack for efficiently scaling mixture-of-experts models into the trillion-parameter range.
What 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 understand why those tests break.
Teaching 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 more important than ever.
In the daily digest
6 November 2026,4 November 2026,3 November 2026,2 November 2026,28 October 2026