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Some personal news: I've joined @AnthropicAI as a Member of Technical Staff.
Thank you to the many wonderful researchers at DeepMind and Google Brain who made it such a special place to do science for all these years.
Excited for what's next!
Simon Batzner retweeted
Applications are now open for two new Anthropic Fellowships.
STEM Fellows (science and engineering) and Conceptual Reasoning Fellows (philosophy, cognitive science, economics, policy, and law) will spend four months at Anthropic from January 2027, working to help Claude reason well about some of the hardest problems in those fields.
For more information, see the descriptions below. The application deadline is October 28.
Conceptual Reasoning Fellows: job-boards.greenhouse.io/ant…
STEM Fellows: job-boards.greenhouse.io/ant…
🚨 Our team at GDM is hiring a research engineer to work on topics around RL, post-training + materials science! Role is based in Mountain View. DMs open if you have questions.
Today in @Nature, our team at @GoogleDeepMind is excited to share GNoME, a deep learning system that increases the number of stable crystal materials known to humanity by an order of magnitude.
From the data, we train a ML force-field with unprecedented capabilities at scale👇
Introducing GNoME: an AI tool that helped discover 2.2 million new crystals. 💎
Crystals are found in everything from the chips powering our phones to solar cells creating clean energy.
The model also better predicts the stability of new materials. 🧵 dpmd.ai/GNoME-AI
Finally, my favourite example of the zero-shot capabilities of the model is this: the potential has never seen Nickel (the material, it has seen the element) and has never seen a melt. Yet, it does remarkably well on this structure:
Work done with a great team of great people: @amilmerchant, @sschoenholz, @draykol, @INeedCoffeeTho, and of course @ekindogus
Paper: nature.com/articles/s41586-0…
Blog: dpmd.ai/GNoME-AI
Data: materialsproject.org/gnome





