I’m happy to share that a research paper I contributed to has been published.
Over several years, our team combined observations from small telescopes, NASA’s TESS mission, and previously published data to improve measurements of three exoplanets orbiting distant stars.
One of the things I find most inspiring about astronomy is that meaningful scientific contributions don’t always require a giant observatory. This project brought together professional researchers, students, and citizen scientists working toward a common goal.
Grateful to everyone who helped make it happen.
@ASU@NASAJPL@CenterForAstro@SESEASU@AAVSO
https://t.co/GcGxuLt5eB
Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. https://t.co/Tr0sAzAxTD
"Code is the language that we use to understand physics." 💻 ⚛️
With billions of particle collisions happening at the Large Hadron Collider, @CERN research fellow Batoul Diab explains why software developers are more crucial to modern science than ever before.
Thanks @satyanadella 👏
Great work with @Azure on one of the largest MLPerf Training submission to-date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training target met in only 7.07 minutes.
More to come!
No more waitlist. The GitHub Copilot app's technical preview is now available to everyone currently on Copilot Pro, Pro+, Max, Business, and Enterprise plans.
This agent-native desktop experience lets you decide what agents work on, how they work, and what ships. Go from issue to merge all in one place. ✨
Seven new models launching at Build: let’s go!
Reasoning. Code. Image. Transcribe. Voice.
Built from scratch on a clean data lineage, designed for efficiency, working seamlessly as a family of models
Thread 🧵
#MSBuild
The next frontier of agentic development is here, and you are in control.
Today we announced releases that will keep you in the flow with your agents, all on the GitHub platform. ⬇️
What if the entire history of human cooking could be compressed into a file smaller than a single photo on your phone?
Researchers mapped 4M+ recipes across 7 languages to build an AI that understands why ingredients pair well - not just that they do.
📄 https://t.co/Ks4fchrl8v
@NASA Dreaming of worlds beyond our solar system? The Exoplanet Watch citizen science project invites you to search for and confirm new worlds — all you need is a telescope or a smartphone! https://t.co/XjNKynQKNo
Much like the switch in 2025 from language models to reasoning models, we think 2026 will be all about the switch to Recursive Language Models (RLMs).
It turns out that models can be far more powerful if you allow them to treat *their own prompts* as an object in an external environment, which they understand and manipulate by writing code that invokes LLMs!
Our full paper on RLMs is now available—with much more expansive experiments compared to our initial blogpost from October 2025!
https://t.co/x47pIfIkTb