GPT-5.1 Pro is rolling out today to all Pro users. It delivers clearer, more capable answers for complex work, with strong gains in writing help, data science, and business tasks.
@openai
-
ChatGPT for Teachers: Secure Classroom Collaboration Tool
By
–
With ChatGPT for Teachers, educators can securely work with classroom materials and student info and collaborate with colleagues. School and district leaders can bring their teams into one account with education-grade privacy, security, and controls that support schools in
-
ChatGPT for Teachers: Secure Workspace for K-12 Educators
By
–
Introducing ChatGPT for Teachers—a secure ChatGPT workspace built for educators, with admin controls and compliance support for school and district leaders.
— OpenAI (@OpenAI) 19 novembre 2025
Free for verified U.S. K–12 educators through June 2027. pic.twitter.com/0XnZhR2wM6Introducing ChatGPT for Teachers—a secure ChatGPT workspace built for educators, with admin controls and compliance support for school and district leaders. Free for verified U.S. K–12 educators through June 2027.
-
OpenAI Podcast Now Available on Spotify Apple YouTube
By
–
Listen to the OpenAI Podcast on—
Spotify https://
open.spotify.com/show/0zojMEDiz
KMh3aTxnGLENP
…
Apple https://
podcasts.apple.com/us/podcast/ope
nai-podcast/id1820330260
…
YouTube https://
youtu.be/XNtDx6L6ITw -

Atlas Browser Reinvention: Inside Out Rethink
By
–
Ever wonder what it takes to reinvent a browser from the inside out? @BenGoodger and @Darinwf join @AndrewMayne to explain why we built Atlas and how it rethinks what a browser can do.
-

ChatGPT Group Chats Pilot Launches in Four Asian Markets
By
–
Group chats in ChatGPT are now piloting in Japan, New Zealand, South Korea, and Taiwan. A new way to collaborate with friends, family, or coworkers and ChatGPT in the same conversation.
-
Interpreting Complex Behaviors of Powerful AI Models
By
–
This is an early step; there is a long path from this work to fully understanding the complex behaviors of our most powerful models. Our aim is to understand larger models, gradually expand the set of behaviors we can reliably interpret, and obtain safety assurances using our
-
Sparse Models Reveal Interpretable Task-Specific Components
By
–
Unlike with normal models, we often find that we can pull out simple, understandable parts of our sparse models that perform specific tasks, such as ending strings correctly in code or tracking variable types. We also show promising early signs that our method could potentially
-
Sparse Neural Networks Improve AI Model Interpretability Research
By
–
Most neural networks today are dense and highly entangled, making it difficult to understand what each part is doing. In our new research, we train “sparse” models—with fewer, simpler connections between neurons—to see whether their computations become easier to understand.
-
New Interpretable Training Method for Small Language Models
By
–
We’ve developed a new way to train small AI models with internal mechanisms that are easier for humans to understand. Language models like the ones behind ChatGPT have complex, sometimes surprising structures, and we don’t yet fully understand how they work. This approach