OpenUI Lang: a compact, streaming-first language for model-generated UI. Instead of treating model output as only text, OpenUI lets you define components, generate prompt instructions from that component library, and render structured UI as the model streams.
Core capabilities:
OpenUI Lang — A compact language for structured UI generation designed for streaming output. Built-in component libraries — Charts, forms, tables, layouts, and more — ready to use or extend. Prompt generation from your component library — Generate model instructions directly from the components you allow. Streaming renderer — Parse and render model output progressively in React as tokens arrive. Chat and app surfaces - Use the same foundation for assistants, copilots, and broader interactive product flows.
Copilot Cowork is built for that: it helps Copilot take action, not just chat.
Cowork makes it easy to delegate work. Describe the outcome you want and Cowork automatically grounds the work in your emails, meetings, messages, files, and data. Powered by Work IQ, Cowork draws on signals across Outlook, Teams, Excel, and the rest of Microsoft 365 so it can act with the same understanding you bring to your job.
AI surveillance is a rapidly developing field that is causing alarm among computer scientists and privacy experts. It uses LLMs to synthesise information about an individual online which would be impractical for most people to do manually. Information about members of the public that is readily available online can already be “misused straightforwardly” for scams, said Lermen, including spear-phishing, where a hacker poses as a trusted friend to get victims to follow a malicious link in their inbox. With the expertise requirement to perform more developed attacks now much lower, hackers only need access to publicly available language models and an internet connection. Peter Bentley, a professor of computer science at UCL, said there were concerns about commercial uses of the technology “if and when products come out for de-anonymising”. One issue is that LLMs often make mistakes in linking accounts. “People are going to be accused of things they haven’t done,” warned Bentley. Another concern, raised by Prof Marc Juárez, a cybersecurity lecturer at the University of Edinburgh, is that LLMs can use public data beyond social media: hospital records, admissions data, and various other statistical releases could fall short of the high standard of anonymisation necessary in the age of AI.
By and large, they expressed the view that reliance on artificial intelligence is fundamentally antithetical to the development of human intelligence they are tasked with guiding. They described desperately trying to prevent students from turning to AI as a replacement for thought, at a time when the technology is threatening to upend not only their education, but everything from the stock market to social relations to war.
Most professors described the experience of contending with the technology in despairing terms. “It’s driving so many of us up the wall,” one said. “Generative AI is the bane of my existence,” another wrote in an email. “I wish I could push ChatGPT (and Claude, Microsoft Copilot, etc) off a cliff.”
“I now talk about AI with my students not under the framework of cheating or academic honesty but in terms that are frankly existential,” said Dora Zhang, a literature professor at the University of California, Berkeley. “What is it doing to us as a species?”