@PolymathicAI

The Polymathic AI Collaboration. Shared account.

polymathic-ai.org/
Joined September 2023
  • Tweets78
  • Following69
  • Followers3.7K
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirleyOct 2
"The world is predictable in the right coordinates. The open question is whether a model can learn those coordinates on its own." World model for Physics conference in Aspen coming winter 2027! Application deadline October 5 ! organized by @randall_balestr @KempeLab @ylecun and me 😀
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Jacopo Teneggi@JacopoTeneggiJun 19
1/ At @PolymathicAI, we have been asking: What does it take to integrate general LLM agents with specialized scientific software? Today, I am happy to announce Agent Rosetta, an LLM agent to support scientists in real-world protein design tasks using the Rosetta Modeling Suite.
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirleyJun 25
Want to apply principled Bayesian methods to Large scientific foundation models? Join @PolymathicAI and @EmtiyazKhan at Adaptive Bayesian Intelligence to explore the boundaries of SOTA large models for scientific data and Bayesian Principles in Tokyo 🗻 , Germany 🍺 and NYC 🍎! post-doc: apply.interfolio.com/184211 research-scientist: apply.interfolio.com/184213
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirleyJun 27
Happy to announce the partnership between @relativityspace and @PolymathicAI to explore Mars!! 🤩 Come work with real rocket scientists, astrophysicists and AI experts to explore Mars ❣️ Links: job-boards.greenhouse.io/rel… job-boards.greenhouse.io/rel…
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PolymathicAI retweeted
Siavash Golkar@SiavashGolkarApr 29
1/12 Introducing MIMIC: a SOTA foundation model trained natively across DNA, RNA and proteins. MIMIC is multimodal and generative: it can use structure, regulation, evolution, and experimental context to infer missing biology or design new sequences.
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PolymathicAI retweeted
Helen Qu@_helenquMar 19
physical systems (orbits/fluid mechanics) may look complex, but are often governed by simple equations/few parameters. can current self-supervised methods learn the underlying physics? our new paper finds that learning in latent space may be the key! arxiv.org/abs/2603.13227🧵
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirleyApr 15
Join @PolymathicAI and @EmtiyazKhan and me to explore the world of frontier AI for science using new Bayesian techniques! We are looking for both postdoctoral fellows and research scientists! 🚀
Emtiyaz Khan@EmtiyazKhanApr 12
If you want to work with our group while living in New-York and also spend time in Tokyo and Germany!, check out the new positions available at the NYU and Flatiron Institute by @cosmo_shirley post-doc: apply.interfolio.com/184211 research-scientist: apply.interfolio.com/184213
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirleyFeb 2
Getting ready to speak at the @worldmodel_26 at Mila alongside @ylecun, @Yoshua_Bengio and @sherryyangML :) Excited to see you online or in person! 🤪
World Modeling Workshop@worldmodel_conf9 Sep 2025
🚨Announcing the World Modeling Workshop 2026 🚨 📅 When: Feb 4–6, 2026 📍Where: Mila (Montréal) + Online (free) 💡 What: Keynotes, Methods Deep Dive, and Tutorials 🌐 world-model-mila.github.io/ ✉️ [email protected] 🧵 Details below:
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We built a semantic search engine for millions of galaxy images by having LLMs write the captions. These images are completely unlabeled, but our method enables astronomers to search for rare phenomena via text. Try our app! 🔭👇
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I’m excited to announce that @PolymathicAI new astrophysics model, AION-1, has been accepted to #neurips2025 ! 🎉 Come see our poster on Dec 5 (Friday) at 1-4pm PT, poster session 5 OR hear our talk from @liamhparker and Francois Lanusse at #AI4Science workshop It’s the first large-scale multimodal foundation model for astronomy!
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirley3 Dec 2025
Latent diffusion Models are all the rage right now. But how far can we push it ? What happens if we use a very^3 small latent space? 🧐 Come find out at our @NeurIPSConf paper led by @FrancoisRozet Tomorrow (Thursday) in San Diego at 4:30-7:30pm at the Exhibit Hall CDE poster #2311 !
François Rozet@FrancoisRozet3 Sep 2025
Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation. We got lost in latent space. Join us 👇
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PolymathicAI retweeted
Shirley Ho
@cosmo_shirley3 Dec 2025
Most real-life systems are only partially observed, whether it is our Earth, the sun, or the air flow in our house! So, how do we predict these dynamical systems if nothing is perfectly observed? Come join @PolymathicAI tomorrow (Thursday) at 4:30-7:30 PST at Exhibit Hall CDE #2213 at @NeurIPSConf at our poster on how to predict partially observed dynamical systems! -> A Multiscale Inference Scheme+ Diffusion! 🚀 Led by @rdMorel and @FrankPRCP !!
Rudy Morel@rdMorel25 Nov 2025
Partial observability is a key challenge in predicting physical systems, where only part of the state is observed. Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.
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PolymathicAI retweeted
Rudy Morel@rdMorel25 Nov 2025
Partial observability is a key challenge in predicting physical systems, where only part of the state is observed. Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.
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So proud to see the culmination of effort led by @mikemccabe210 @PayelMukhopadh3 @__tm__157 @BrunoRegaldo @FrancoisRozet along with the amazing team at @PolymathicAI to produce The first "Polymathic"/cross-disciplinary AI model for fluid dynamics! We started with creating The Well, the first internet scale of fluids dataset co-led by @mikemccabe210 and @oharub with the goal of creating the first cross-disciplinary fluid model! Now it is here, and we are lovingly naming it the Polymathic Walrus 😁!
Mike McCabe@mikemccabe21020 Nov 2025
1/ Today with my colleagues @PolymathicAI, I'm excited to release our latest project, Walrus, a cross-domain foundation model for physical dynamics, into the world. polymathic-ai.org/blog/walru… Paper: arxiv.org/abs/2511.15684 Git: github.com/PolymathicAI/walr… HF: huggingface.co/polymathic-ai…
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RT @cosmo_shirley: Extremely proud and honored to be named among the great minds of Schmidt Sciences AI2050 Senior fellows! A special sh…
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PolymathicAI is recruiting two postdoctoral researchers to join our team at Cambridge, to work on building and understanding large-scale foundation models for science. Please share with potential candidates!
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Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation. We got lost in latent space. Join us 👇
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The final days of summer are upon us, and it is bittersweet to say goodbye to our great group of @PolymathicAI interns! 😭 @JacopoTeneggi @cskokgibbs @astro_nolan @CristianaD2202 @LouisSerrano31 @rachelczhang Here are a few pics to remind us all the fun we had! (and hold your breath for our amazing list of papers led by our interns out soon!)
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Want to predict the future of our own star? The Sun! Build with us at @PolymathicAI! New postdoctoral fellowship position in AI X Solar Physics! 🌞 Deadline to apply: Feb 15, 2025 apply.interfolio.com/161867
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You saw our AstroCLIP, and have heard of MultiModal Universe! Now, come build and scale Foundation models for Astrophysics with us at @PolymathicAI! Check this out: aas.org/jobregister/ad/09aad… Deadline: Feb 14, 2025!
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