AI Models and Tools: OpenAI to Launch AI Agent, Microsoft Loses Cloud Exclusivity

OpenAI has developed an artificial intelligence (AI)-powered agent that can use a web browser and do tasks, just like a human user.

Called “Operator,” the AI agent is set to be released this week, according to The Information. Operator will provide users with suggested prompts, such as finding a flight from Los Angeles to New York that leaves in the morning. Operator will not complete these tasks autonomously; the user still needs to approve any transaction. Bloomberg first reported on Operator last November, noting a January release date.

OpenAI’s move follows in the footsteps of its competitors. Last October, Anthropic announced a similar capability for Claude 3.5 Sonnet, an AI model that is part of its flagship LLM family. The OpenAI competitor called the capability “computer use.”

“Developers can direct Claude to use computers the way people do — by looking at a screen, moving a cursor, clicking buttons and typing text,” Anthropic said in the news release announcing the AI agent. However, Anthropic warned that the experimental features are “at times cumbersome and error-prone.”

In December, Google announced its own web-browsing AI agent, called “Project Mariner.”

Built with Gemini 2.0, Google’s latest version of its flagship multimodal models, Project Mariner can “understand and reason across information in your browser screen, including pixels and web elements like text, code, images and forms.” It then uses that information to complete tasks for the user by navigating the web browser. Like Anthropic, Google warns that it is “not always accurate and slow to complete tasks.”

Microsoft will no longer be OpenAI’s exclusive cloud provider for its AI models, the software giant disclosed in a Tuesday (Jan. 21) blog post.

Instead, Microsoft will have the right of first refusal to host OpenAI’s AI workloads in Azure. This is a change from their 2019 agreement, when Microsoft became OpenAI’s exclusive cloud provider after investing $1 billion in OpenAI. The investment was also three years before ChatGPT and generative AI took the world by storm. Since then, Microsoft reportedly has invested a total of nearly $14 billion in OpenAI.

However, Microsoft will retain the exclusive rights to OpenAI’s application programming interface (API). The API is a set of rules, protocols and tools that let software applications communicate with each other. OpenAI’s API is how most companies access and integrate the startup’s AI models into their own applications, products or services.

The change in terms come OpenAI on Tuesday named Microsoft as a technology partner in its new AI infrastructure project called Stargate, which aims to spend from $100 billion to $500 billion to build physical and virtual AI infrastructure. This includes the building of 500,000-square-foot data centers for AI processing. Ten data centers are under construction in Texas and will expand to 20. The first one is being built in Abilene, Texas.

Fresh off its success with NotebookLM, which turns documents into audio podcasts featuring two AI-generated hosts discussing the content, Google has opened the waitlist for its spinoff, Daily Listen.

Daily Listen brings the two AI podcast hosts back. This time, they will give you a daily update on things that matter to you, based on your interests. You’ll also get links to stories from around the web. For now, Daily Listens is only available in the Google app on your mobile device, in the U.S.

Microsoft researchers recently introduced an AI model that can create new, inorganic materials with specific properties. It can do so much faster than the traditional way, where scientists would spend years in research.

Called MatterGen, the AI model could lead to breakthroughs in things like batteries, magnets, semiconductors and other technologies by creating materials that are more efficient, stronger or cheaper, for example.

MatterGen could also help tackle sustainability challenges by creating eco-friendly materials with less environmental impact. It can design materials that don’t rely on expensive or rare elements to reduce environmental harm.

Scientists can use MatterGen to customize materials for nearly any purpose — whether to build stronger buildings, make better electronics or improve on medical devices.

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