OpenAI

Astra for Law: A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms. Astra for Law pairs GPT-6 Astra with instructions for legal analysis and writing, settings for thorough work, and a new Legal Search Index. The index searches U.S. case law, statutes, regulations, court rules, and administrative decisions across more than 230 million URLs—with sources added daily. That helps lawyers move from the facts of a matter to relevant authorities and supporting passages they can examine themselves. We’re also launching 26 partner-built plugins and 47 community plugins for legal work in ChatGPT. Partners including Thomson Reuters, Harvey, Legora, and iManage connect specialist tools and knowledge. Community plugins built by lawyers and legal engineers give firms skills they can adapt and extend. Astra for Law will initially be offered to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. We’ll maintain the legal configuration so builders can focus on their own products and workflows. We’ll build the next chapter of Astra for Law alongside the lawyers and legal technology partners who put it into practice. https://lnkd.in/eVhhhYq7

Today we gave every engineer at Databricks (N=~3500) access to OpenAI Astra. To my knowledge we are the first large company (other than OpenAI) to roll this model out wall-to-wall and I wanted to share some thoughts on why we did this and how we approach model roll out decisions in general, balancing capabilities, cost, and model choice. Before we roll out any model we use Unity Gateway to perform a robust set of offline and online (cohort based) evaluations of model quality and cost. Our findings show that Astra provides a step function improvement in developer productivity and exceeds the quality of all prior models we offer (Opus 5, Sol 5.6, GLM 5.3) especially on complex or long-horizon coding tasks. We do not see meaningful improvement on medium and low complexity coding tasks, largely because those tasks are already performed near perfectly by existing models. On the cost front, we found that providing a developer cohort (N=~200) with Astra along with no other cost guardrails resulting in a roughly 60% increase in overall token spend. For broad release, we used Unity Gateway to give developers an Astra-specific budget per month which is a subset of their overall coding budgets. These nesting budgets are designed to encourage folks to use Astra for high complexity tasks where its cost is justified but not yet as a default model for all tasks. Astra is being incorporated into our Unity Gateway Router soon, at which point developers will no longer need to actively decide when to use it vs lower cost models. We are excited about Astra and will continue to share our experience with Astra and other models.

At OpenAI, we’ve seen a 5–10× increase in individual productivity on our IT team with ChatGPT Work. We’re using ChatGPT Work to close more support tickets, simplify our software stack, and build shared skills that help the whole team prioritize work. What one person builds can become a tool the whole team can use. Go behind the scenes to see how our IT team is putting our own technology to work.

More time for science, less time monitoring routine measurements. At MIT, Beatriz Yankelevich is using GPT‑5.6 Sol in Codex to run and refine measurements on quantum chips—freeing her to focus on designing experiments and interpreting results. With advice on the agent infrastructure from OpenAI’s Eva Zhang and JonLuca DeCaro, the MIT team connected Codex to its lab software so agents could carry out routine measurements with less supervision. https://lnkd.in/euWH86Ca

We mobilized 250+ people to strengthen our defenses across hundreds of systems. Our latest cyber models helped us find and fix vulnerabilities we might never have discovered otherwise. We’re sharing what we learned, the architecture, and a practical playbook so you can build your own Defense Factory: a continuous loop where AI agents find vulnerabilities, validate them, and verify that fixes work. https://lnkd.in/eM_PfqFT

ChatGPT Work is now powered by GPT-6 Astra—our best model for professional work. Bring it your next big project. With Astra, ChatGPT Work better understands what you’re trying to do and pulls together the information you need from your connected apps and computer. It helps you create polished reports, presentations, and analyses faster—with more natural writing, a closer fit to your templates and style, and less cleanup. Then hand over the busywork. With your permission, ChatGPT Work can use your desktop apps and browser much like you do—clicking, typing, and moving between screens to fill out forms, update records and trackers, and schedule meetings. Astra makes it better and faster at these tasks, even in apps that don’t have a ChatGPT integration. ChatGPT Work with GPT-6 Astra is available to all paid ChatGPT plans in the desktop app and on chatgpt.com. https://lnkd.in/e3JDAtRw

Paul Christiano, founder of the Alignment Research Center, is joining the OpenAI Foundation Board and its Safety and Security Committee, which provides governance over the safety and security practices across OpenAI. As AI capabilities advance, strong safety, security, alignment, and governance matter more than ever. Paul’s work on AI alignment and his years at National Institute of Standards and Technology (NIST) will strengthen the Foundation’s oversight, bringing an independent voice to challenge assumptions, assess safeguards, and reinforce accountability around critical decisions. Paul will also serve as a non-voting observer on the OpenAI Group PBC Board. https://lnkd.in/e9Vg2cCe