OpenAI unveiled Operator on Thursday (Jan. 23), an artificial intelligence (AI) agent that can use a computer like a human, even using a cursor and keyboard.
It is able to interpret screenshots and interact with graphic user interfaces (such as buttons, menus and text fields) on the computer screen, OpenAI said in a blog post announcing the AI agent. Through a browser, users can ask Operator to do things like order groceries, book reservations and buy event tickets, among other tasks. OpenAI noted that users will still have to approve sensitive transactions, such as making purchases, doing financial transactions and sending emails.
“This represents an important step towards a future where ChatGPT is not only capable of answering questions, but can take actions on a user’s behalf,” according to OpenAI’s system card on Operator. However, OpenAI also warned of risks that include malicious instructions from third-party websites could mislead the model or let it do harmful or banned tasks, as well as ChatGPT making mistakes that might be hard to reverse.
OpenAI used supervised learning on specialized data and reinforcement learning to enable Operator. Supervised learning was used to teach Operator how to read the computer screen and click on items accurately. Reinforcement learning teaches the model reasoning, error correction and ability to adapt to unexpected events.
A preview of Operator is available initially to U.S. ChatGPT Pro users.
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.
We get a lot of press releases here at PYMNTS. We consider all of them, and some are more newsworthy than others. But this one really got our attention. This past week, Diebold Nixdorf made headlines with its announcement of successfully installing two new automated teller machines (ATMs) at the U.S. National Science Foundation’s McMurdo Station in Antarctica. This achievement marks a significant milestone in banking accessibility, to be sure. We would like to meet the crew that installed them. We’d also like to know why they needed two. Was there a line at the first one? More to come on that.
According to Diebold, McMurdo Station is Antarctica’s largest research and logistics hub, supporting a fluctuating population that ranges from fewer than 200 residents during the winter months to up to 1,100 individuals during the summer (October through February). The presence of these ATMs is crucial, it says, as the next closest banking facilities are thousands of miles away, making them the only ATMs on the entire continent. How’s that for a value proposition?
The DN Series ATMs are designed for always-on availability. And why do they need two? One ATM is actively in use, while the second serves as a backup for spare parts, ensuring uninterrupted service in this isolated area. These machines are connected to the DN AllConnect Data Engine, which leverages Internet of Things (IoT) connectivity, machine learning, and artificial intelligence (AI) to monitor their performance. A dedicated team continuously aggregates and analyzes technical data to identify potential issues, enabling remote diagnostics and repairs. The ATM can be maintained by trained staff at NSF McMurdo Station, or the Diebold Nixdorf service team can remotely guide them through the repair process.
Anyway, it got us thinking. Are there other surprising ATMs in extreme locations? Well, of course, there are. Here’s a sampling of what we found.
At an altitude of about 5,364 meters (17,600 feet), the Mount Everest Base Camp in Nepal is another unexpected place to find an ATM. Although it’s not a permanent fixture and is often set up seasonally, it caters to climbers and trekkers who need cash for local transactions. This temporary ATM service underscores the adaptability of banking services in extreme environments.
In some parts of the Amazon rainforest, particularly in Brazil and Peru, ATMs can be found in small villages and towns. These machines are vital for local communities, providing access to cash in areas where digital payment options might be limited. The presence of ATMs here demonstrates how banking services can reach even the most remote communities.
Located in the Tibet Autonomous Region, Nagqu is home to one of the highest ATMs in the world. This region is very remote, with limited infrastructure, making the presence of an ATM a notable example of banking accessibility in extreme environments.
In the Thousand Islands (Kepulauan Seribu) off the coast of Jakarta, Indonesia, there’s a floating ATM. This unique ATM serves the local community and tourists on the islands, demonstrating how banking services can adapt to isolated marine environments.
Longyearbyen, the administrative center of the Svalbard archipelago in Norway, boasts the most northerly ATM. This location is one of the most remote inhabited places on Earth, with limited access to mainland Norway, making the ATM a vital service for residents and visitors.
On a more serious note, the installation of ATMs in places like Antarctica and other remote locations highlights the evolving nature of banking technology. With advancements in IoT, AI and remote diagnostics, it’s becoming increasingly feasible to provide banking services in areas previously considered inaccessible. As we look to the future, it will be interesting to see where else ATMs might appear. Whether it’s on a remote island, at the top of a mountain or even in space, the ability to access cash is becoming more universal than ever. And who knows? Maybe one day, we’ll see an ATM on Mars, serving the first interplanetary travelers.
For now, the presence of ATMs in unexpected places reminds us that banking is not just about transactions; it’s about connecting people and communities across the globe, no matter how remote they might be.
