Gemini 2.5's multimodal embodied reasoning capabilities are making a huge difference for many robotics researchers and industry developers. The Gemini Robotics team has curated a blog post of use cases, recommended prompts, real-world examples, and partner case studies 🧵

I'm beyond lucky to have been able to sit down with Jensen and ask him questions, all thanks to @Neo 💙 Students, midnight tonight is the deadline to apply for the Neo Scholars program. It's the best decision you'll make.

🏆Thrilled that #CollabLLM won the #ICML2025 Outstanding Paper Award! We propose a new approach to optimize human-AI collaboration, which is critical for agents. Congratulations to my fantastic co-authors; great job Shirley Wu and Michel Galley driving the project!👏

Some updates 🚨 I finished my Ph.D at Allen School in June 2025! After a year at AI2 as a Research Scientist, I am joining CMU Language Technologies Institute | @CarnegieMellon & Machine Learning Dept. at Carnegie Mellon (courtesy) as an Assistant Professor in Fall 2026. The journey, acknowledgments & recruiting in 🧵

Chain of thought can hurt LLM performance 🤖 Verbal (over)thinking can hurt human performance 😵‍💫 Are when/why they happen similar? Come find out at our poster at West-320 ⏰11am tomorrow! #ICML2025

2/ Silicon Valley made its name in hardware. HP, Intel, Lockheed, and other pioneers didn’t split their R&D and factory floors. Engineers and tradesmen worked side by side. In 1965, Lockheed alone employed 28,000 people in Sunnyvale. 28,000 people!

Colab Pro is now available for free for verified US students and faculty for one year.

I wrote a fun little article about all the ways to dodge the need for real-world robot data. I think it has a cute title. sergeylevine.substack.com/p/sporks-of-agi

Official results are in - Gemini achieved gold-medal level in the International Mathematical Olympiad! 🏆 An advanced version was able to solve 5 out of 6 problems. Incredible progress - huge congrats to Thang Luong and the team! deepmind.google/discover/blog/…

I'm sadly not at #IC2S2 😭, but I will be at #ACL2025 in Vienna ☕️ next week!! Please spread the word that I'm recruiting prospective PhD students: lucy3.notion.site/for-prospectiv…

Life update: I’m excited to share that I’ll be starting as faculty at the Max Planck Institute for Software Systems(Max Planck Institute for Software Systems) this Fall!🎉 I’ll be recruiting PhD students in the upcoming cycle, as well as research interns throughout the year: lasharavichander.github.io/contact.html

August 1 is the deadline for non-archival papers for the #ICCV2025 artificial social intelligence workshop! Papers in this track will be presented as posters at ICCV. We welcome any submissions of ongoing work, recently published work, or #ICCV papers in areas related to

There is 1 more week to submit non-archival extended abstracts to present at the Artificial Social Intelligence workshop #ICCV2025! We welcome work recently published in other venues (including the main ICCV conference) as well as works in progress!

The Spectrum of Workplace Robots 🤖🛒 I'm in the Zyphra board meeting today, and a robot from Robust.AI passes by, so I went out to see what it was up to, and there were humanoids too, but cordoned off with signage that these aren’t the droids you’re looking for

(1/3) Presenting at #CogSci2025 TODAY (Aug 2; Poster P3-W-211): "Expanded Information Capacity in Neural Networks Predicts the Cognitive Evolution Towards Uniquely Human Abstraction":

Excited about CMU's new Institute for Computer-Aided Reasoning in Mathematics (ICARM), a new NSF Mathematical Sciences Research Institute. I'm honored to serve as an Assistant Director focusing on machine learning and mathematics.

Evaluating language models is tricky, how do we know if our results are real, or due to random chance? We find an answer with two simple metrics: signal, a benchmark’s ability to separate models, and noise, a benchmark’s random variability between training steps 🧵

Ender, that wasn’t an RL environment with a verifiable reward, those were real Amazon orders you placed.

AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-hours of energy (equivalent to watching an