Riktlinjerna ger dig inom offentlig förvaltning vägledning om att använda generativ AI i din verksamhet. I Kom igång med riktlinjerna guidar vi dig hur du kan ta dig an riktlinjerna och arbetet med generativ AI.

Today we introduced a research preview of Operator⁠(opens in a new window), an agent that can go to the web to perform tasks for you. Powering Operator is Computer-Using Agent (CUA), a model that combines GPT-4o's vision capabilities with advanced reasoning through reinforcement learning. CUA is trained to interact with graphical user interfaces (GUIs)—the buttons, menus, and text fields people see on a screen—just as humans do. This gives it the flexibility to perform digital tasks without using OS- or web-specific APIs. 

CUA builds off of years of foundational research at the intersection of multimodal understanding and reasoning. By combining advanced GUI perception with structured problem-solving, it can break tasks into multi-step plans and adaptively self-correct when challenges arise. This capability marks the next step in AI development, allowing models to use the same tools humans rely on daily and opening the door to a vast range of new applications.

While CUA is still early and has limitations, it sets new state-of-the-art benchmark results, achieving a 38.1% success rate on OSWorld for full computer use tasks, and 58.1% on WebArena and 87% on WebVoyager for web-based tasks. These results highlight CUA’s ability to navigate and operate across diverse environments using a single general action space. 

We’ve developed CUA with safety as a top priority to address the challenges posed by an agent having access to the digital world, as detailed in our Operator System Card. In line with our iterative deployment strategy, we are releasing CUA through a research preview of Operator at operator.chatgpt.com⁠(opens in a new window) for Pro⁠ Tier users in the U.S. to start. By gathering real-world feedback, we can refine safety measures and continuously improve as we prepare for a future with increasing use of digital agents.

This is not a cooked demo. This is a real AI Agent that solves Github issues autonomously with remarkable efficiency. You should block a few minutes to watch… | 244 comments on LinkedIn

Projektets mål

1. Digital uppgradering
   - Integrera AI-verktyg i MSMEs dagliga verksamhet.
2. Modernisering av yrkesutbildning
   - Skapa AI-träningsvägar för framtida arbetskraft.
3. Ökad konkurrenskraft
   - Förse MSMEs med avancerade AI-lösningar för operativ effektivitet.

Projektresultat kommer över tid publiceras här.

Projektledare: adilhan.adil@ccgeurope.com 

On (some of) the latest export controls

With so many rules, one thing is nearly certain: Sooner rather than later, we will need yet more rules to fix the problems with these rules.

A comprehensive overview of US export regulations on AI hardware. The analysis covers recent regulatory changes (which are complex and likely to evolve alongside AI technology) while placing them in a historical context.