AI’s biggest role in science may not be answering questions. It may be helping scientists find which questions are worth asking.
At @ProvSwedish, AutoDiscovery surfaced an unexpected immune signal in a heavily studied cancer dataset—and follow-up research confirmed it. 🧵
allenai.org/blog/swedish-aut…
Ai2 retweeted
Hugging Face is becoming more and more the home of AI x Science projects. Open source accelerates scientific discovery when models, datasets, and tools are shared openly, all researchers can reproduce them and build on top of them.
A big thanks to @allen_ai, @OpenMed_AI, and @NVIDIAAI for being the most active contributors of AI for Science artifacts on @huggingface these days!
🤗 Hugging science heatmap: huggingface.co/spaces/huggin…
What if you could simulate global extreme weather at 3 km resolution for ~1/300th the cost?
Our new HiRO-ACEv2 system does just that, while matching X-SHiELD’s statistics to within 3% even for events as rare as 1 in a million data points. 🧵
huggingface.co/allenai/HiRO-…
Next, we want HiRO-ACEv2 to work across more climates—not just the one it was trained on.
We’re training it on observed-weather & +4°C datasets, adding outputs like temperature, snow, & ice + exploring ways to make HiROv2 10×+ faster.
Read more: buff.ly/NAfRlQI
Kai Van Brunt adapted Molmo 2, our open model for video understanding, to a domain far outside its training data: sonar video of salmon.
Meet Molmo2Fish, a prototype that tracks fish + can correct some of its mistakes through natural-language guidance. 🧵
allenai.org/blog/molmo2fish
Another benchmark, another #1 for MolmoAct 2! 🤖🏆
Our robot policy tops @datapointai’s human-preference rankings for real-world manipulation tasks, including candy sorting & cup stacking.
Thanks to the Datapoint AI team for the evaluation & open dataset!
Replying to @datapointai
the full dataset is free and open: huggingface.co/datasets/data…
overall and category-wise rankings of 9 robot policies are available on our robot bench: trydatapoint.com/benchmark/l…
Proud to support AI research for protein design and drug discovery alongside @UWProteinDesign and colleagues at the University of Washington.
We tested frontier models including Astra & Opus 5.5 on TutorMoments, our eval for whether LLMs help students solve problems themselves or do too much for them.
In general, models scored better with detailed prompts than when told only to “tutor well.”
tutormoments.allen.ai/
Compare responses from models & human tutors in the new explorer experience, where you can also examine model tutoring performance alongside response time and cost: tutormoments.allen.ai/
This Friday, meet the open source AI community at Open Together, co-hosted with @huggingface.
Join us at The Midway in SF on Oct 16 — bringing the community together to help build a future where AI is open, secure, and fully transparent.
RSVP: luma.com/OpenTogether
Most LLMs cannot reliably evaluate text on the level of individual letters. A technique called byteification retrofits existing models to enable it
go.nature.com/47feiF5
That's a wrap on #COLM2026! Thank you to everyone who stopped by our booth, joined our evening gathering, & talked open research with us.
Catch up on the papers, interviews, & highlights from the week. 👇
allenai.org/blog/colm-2026-r…










