OpenAI Issued Its First AI Agent, Which Takes Control of Web Browsers and Performs Actions

First pro vice-chancellor for artificial intelligence appointed

Like all technologies, models are susceptible to operational risks such as model drift, bias and breakdowns in the governance structure. Left unaddressed, these risks can lead to system failures and cybersecurity vulnerabilities that threat actors can use. AI systems rely on data sets that might be vulnerable to data poisoning, data tampering, data bias or cyberattacks that can lead to data breaches. Organizations can mitigate these risks by protecting data integrity and implementing security and availability throughout the entire AI lifecycle, from development to training and deployment and postdeployment.

Operator is in direct competition with rival Anthropic’s Computer Use agent launched last year. Please read the full list of posting rules found in our site’sTerms of Service. A clever way to lean into personas consists of telling generative AI to pretend to be an expert in some field of study.

If I didn’t want the personas to be on those subtopics, I could easily enter another prompt and tell the AI that the expertise choices should be changed. The AI helpfully opted to give names to the three expert personas (Dr. Green, Dr. Blue, Dr. Brown), making it easier for me to refer to each one specifically (the naming seems reminiscent of the now-classic movie Reservoir Dogs if you know what I mean). If you invoke just one persona, let’s say it is an expert in climate science, there is a strong chance that the generative AI will give a particular bent to that persona. It might be that the persona is mainly shaped around the atmospheric and weather facets of climate science.

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This highlights AI’s impact on science, medicine and society; however, the winners acknowledge ethical aspects of AI that must be considered. Generative AI, sometimes called “gen AI”, refers to deep learning models that can create complex original content—such as long-form text, high-quality images, realistic video or audio and more—in response to a user’s prompt or request. This move is OpenAI’s first attempt in the upcoming agentic economy, with tools that automate and take actions on behalf of humans. “The Powering Operator is a 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.

Multimodal models that can take multiple types of data as input are providing richer, more robust experiences. These models bring together computer vision image recognition and NLP speech recognition capabilities. Smaller models are also making strides in an age of diminishing returns with massive models with large parameter counts. By automating dangerous work—such as animal control, handling explosives, performing tasks in deep ocean water, high altitudes or in outer space—AI can eliminate the need to put human workers at risk of injury or worse.

The content and links on  are intended for general information purposes only. Any legal analysis, legislative updates, or other content and links should not be construed as legal or professional advice or a substitute for such advice. No attorney-client or confidential relationship is formed by the transmission of information between you and the National Law Review website or any of the law firms, attorneys, or other professionals or organizations who include content on the National Law Review website. If you require legal or professional advice, kindly contact an attorney or other suitable professional advisor. Admissions administrators at these schools believe AI technology offers the potential to more efficiently and equitably process a volume of applications that exponentially exceeds the available slots for students.

KPMG Australia becomes the first organisation to achieve AI management system certification

Understanding how your company currently engages with AI can be a beneficial starting point in defining and cultivating an effective AI culture. There is a distinction between organizations where groups of people have particular views on AI and having an AI-culture that embeds ideas about AI in values and behaviors. By not taking a directional position on AI, leaders create an environment that allows misalignment to become pervasive. The result could be an uncoordinated approach that creates patchy systems with unclear outcomes for employees and stakeholders.

In 2020, Hassabis and Jumper presented an AI model called AlphaFold2, which has the potential to accurately predict the structures of virtually all the 200 million proteins that scientists have identified15. This algorithm will likely correctly predict protein structures yet to be experimentally determined because of its demonstrated accuracy in predicting newly discovered protein structures in a systematic manner, although ongoing validation would be prudent15. The AI model uses neural networks called transformers, trained on all known amino acid sequences and experimentally determined protein structures15. AlphaFold2 has been used to create large databases of predicted protein structures, including those of the human proteome16.

An AI-resistant culture, on the other hand, reflects assumptions that AI is challenging, poses great risks, or may be detrimental to the organization. Employees in these sorts of organizations may have values and behaviors that actively discourage the use of AI. This could be due to an organizational resistance to change, or high barriers to updating infrastructure.

While it’s tempting to lean into and ride the wave of the hype around AI’s potential, a strong culture of integrity ensures that breaches of trust relating to the organization’s use of AI are the exception rather than the norm. This is increasingly important, given the rise in enforcement action against such breaches. The insights and services we provide help to create long-term value for clients, people and society, and to build trust in the capital markets. Enabled by data and technology, our services and solutions provide trust through assurance and help clients transform, grow and operate. Machine learning plays a central role in moonshots like this — just as it does in more common enterprise systems. After all, matching photos is exactly the kind of inexact process that ML handles well.

China, which was one of the first countries to implement AI regulations, is currently expanding its various regulations and policies applicable to specific AI uses. Foundation models are a type of AI model trained on a broad set of unlabeled data, capable of performing various tasks and applying information from one situation to another. These models have significantly advanced the field of natural language processing (NLP) technology over the past several years, and IBM is pioneering applications of foundation models beyond language, in areas such as chemistry, time series and geospatial modalities. IBM’s AI technology has the potential to augment L’Oréal’s creativity in finding new cosmetic formulations to transform the beauty industry.

Embracing user-friendly AP systems can turn the tide, streamlining workflows, enhancing compliance, and opening doors to early payment discounts. Choco, a leader in digital solutions for food wholesalers and suppliers. Revenues grew three times faster, sales costs decreased by 50% and customer service costs dropped by 80%. Shesaid introducing a specific pro vice-chancellor role for AI was important because “AI is here to stay. It’s not going to go away, and it’s going to be even more pervasive in everything that we do”.

• Office of Special Counsel’s principles and policies for the use of AI; and most recently in January 2025, on federal support for AI Data Centers.
• Personas are a powerful feature available in LLMs, yet few users seem to be familiar with the circumstances under which they should consider invoking the capability.
• While the ethical debate is not lost on him, the minister stressed that UAE’s intentions for AI are firmly rooted in empowering humanity and creating a better society.

Because deep learning doesn’t require human intervention, it enables machine learning at a tremendous scale. It is well suited to natural language processing (NLP), computer vision, and other tasks that involve the fast, accurate identification complex patterns and relationships in large amounts of data. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today. The presentation of these 2024 Nobel Prizes to AI-related work demonstrates scientific establishment of this technology and recognition that the era of AI has arrived18. Some would argue that the 2024 Nobel Prizes were awarded primarily for the development of computer algorithms rather than pure contributions to the traditionally defined fields of physics and chemistry19. It has become clear that AI has permeated the various scientific fields.

However, as with most new AI tools and skills, it will likely take some time for this to become truly useful in the real world. That will also require OpenAI to open it up to more folks, though as an early research preview it’s still certainly an impressive demo. Operator is a ‘research preview,’ so know that it’s in its early days. We haven’t had the chance to go hands-on yet, but it certainly looks impressive. This is OpenAI’s first entry into the world of AI agents, which will likely be the theme of the year in the realm of artificial intelligence.

I understand why some school districts previously responded by banning ChatGPT. This hit us without warning, so there’s a lack of solid training for school districts to give to educators at this point. I’d guess that as the years go on, there’ll be more training, and this will just be another tool under our belt. This as-told-to essay is based on a transcribed conversation with Kelly Gibson, 56, a teacher from Oregon, about her personal experience using ChatGPT in her classroom. While some people are resistant to the idea, it offers practices of all sizes the opportunity to streamline processes, increase ma… In a sector often overshadowed by labyrinthine supply chains and erratic profit margins, Sage—known primarily for its financial management software—ha…

Throughout the panel discussion after the movie, most of the directors talked about how useful the tech could be for a pitch meeting or for storyboarding, which isn’t hard to see. This means that they were made with some degree of love, care, and, probably with an eye toward de-emphasizing the inevitable replacement of human labor that will surely happen at some studios. It is entirely possible that these films are going to be the most “human” commercially released AI films that we will see.

There may also be genuine concern regarding the impact of AI or a lack of vision around how AI could be additive. For example, take an engineering firm client, where innovation is a core value. Their AI-enabled culture aligns with this in many ways, such as by being a mechanism for data to be gathered quickly to feed into new ideas. The teams are encouraged to use AI-generated data as a springboard for their innovation processes. We often see AI-first cultures in organizations where AI is central to their purpose. Leaders in such companies are strong advocates of the transformational potential of AI and seek opportunities to embed AI throughout their organizations.

“Otherwise, with traditional (design), it may have looked very different,” Weiss said. Gemini Nano is the smallest in Google’s Gemini family of large language models. It’s designed to run directly on phones, which have less memory and tighter power limits than PCs and cloud servers.

L’Oréal, together with IBM’s expertise and technology, will help to shape a future where innovation meets sustainability, delivering products that will be as unique as the people who use them daily. But one of the most popular types of machine learning algorithm is called a neural network (or artificial neural network). Neural networks are modeled after the human brain’s structure and function. A neural network consists of interconnected layers of nodes (analogous to neurons) that work together to process and analyze complex data. Neural networks are well suited to tasks that involve identifying complex patterns and relationships in large amounts of data.

Governance is the anchor to enable secure, sustainable, responsible and transparent use of AI. While creating an AI governance framework can be useful, these are often voluntary or inconsistently applied. A more constructive approach is to develop a formal — and enforceable — AI use policy, accompanied by the appropriate means to implement and monitor it. According to the 2024 Edelman Trust Barometer, people trust businesses more than nongovernmental organizations (NGOs) or government (59%, 54% and 50% respectively) to make sure innovations are safe, understood, beneficial and accessible. Even so, a 59% confidence level in businesses leaves considerable room for improvement. Every entity, private and public, needs to do more to build confidence in the ethical use of AI.

The vulnerability was reported to SQLite developers in early October, who promptly addressed the issue on the same day it was identified. Notably, the bug was discovered before being included in an official release, ensuring that SQLite users were unaffected. Google emphasised this development as a demonstration of AI’s significant potential for enhancing cybersecurity defences. Michelle Barineau counsels U.S. and multinational clients on a broad range of employment issues. Michelle routinely provides guidance pertaining to wage and hour compliance, job classifications, pay equity, and employee leave. She also prepares key employment documents including employment agreements, employee policies, and separation agreements.

A third important implication is that Hassabis’ and Jumper’s breakthrough AlphaFold2 tool was made possible only through the discoveries of Hopfield and Hinton, which illustrates the rapid progression and widespread impact of AI1,2. In fact, ML algorithms are found in tools that we use every day, from search engines to personal assistants to phone applications, and are becoming increasingly relevant to health care20. For example, we are beginning to see the implementation of AI algorithms into routine clinical care that have been demonstrated to improve patient outcomes21.

This case specifically looks at what happens when the public interest in parody and political commentary bumps against the new capabilities for realistic deep fakes in a political campaign. With more and more AI models trained in-house, cybercriminals will more than likely start to target these repositories of sensitive data. Once they have access to the AI, all sorts of havoc can be caused by the ability to clone the data, poison the model to generate harmful responses or lock it down with ransomware, causing significant company damage. Weiss and his team used concept images with AI technology to create the design. Using the inspiration of a yacht and spaceships, the team also asked AI to take the artwork of famous sci-fi artist Syd Mead, who made designs for sci-fi films such as Blade Runner, Aliens and Tron, to incorporate into the slide.

I’ll focus on ChatGPT but note that the other AI apps generated roughly similar responses. We are now then ready to combine the notion of personas, expertise, and the idea of using multiple instances. It is usually wise to ask the AI what level of proficiency it seems to have in whatever topic you are exploring. This doesn’t guarantee that the AI will be forthright, and you might get either a bland answer or a false or misleading response. If possible, consider asking direct questions on the topic and have a basis to compare the answers, such as doing online searches or having in-hand materials to corroborate what the AI opines on the topic. You already know that agents and small language models are the next big things.

X Games will experiment with an AI judge for the first time this week in a new collaboration with Google – Fast Company

X Games will experiment with an AI judge for the first time this week in a new collaboration with Google.

Posted: Tue, 21 Jan 2025 14:41:23 GMT [source]

Specifically, companies can, and are, going beyond compliance by taking actions such as creating responsible AI taskforces that include a cross-section of employees, which look at issues such as the ethical use of AI. Organizations are also creating policies with related processes and controls that address these issues. Whether organizations are in the planning stages or already actively using AI, roughly four in 10 have put measures in place to manage its deployment and use. Interestingly, emerging markets appear more mature in their understanding of, and responsibilities toward, AI. Further, 51% of executives in emerging markets say they’ve received training or guidance from their organization about the permitted uses or risks of AI, vs. 35% of executives in developed markets.

De Montfort University

The Federal Trade Commission expects to make its first artificial intelligence use case inventory public before 2025, according to Mark Gray, the agency’s chief information, AI and data officer. In Isaac Asimov’s I, Robot, the famous “Three Laws of Robotics” were meant to safeguard humanity from the potential perils of AI, ensuring machines wo… A major disconnect between artificial intelligence (AI) understanding and risk assessment has been unveiled in a comprehensive new report examining th…

Establishing an effective AI-culture isn’t only the responsibility for an organization’s executive leadership team. As with any other successful culture initiative, all employees can – and should be empowered to – contribute to the AI-culture of their organization. Critically, technical fluency in AI is not a requirement to meaningfully influence AI culture – a growth mindset and adaptability to change will create an environment for AI applications to flourish.

Chain of Executive Orders on AI

You won’t necessarily get just one answer, unless the question at hand is something that lends itself to solely one answer, such as perhaps a numeric-oriented question that involves doing calculations and arriving at a single value. It is up to you whether you want to get short answers or long answers. I usually prefer to start with short responses and then see whether the AI is on target. The problem with getting long answers at the get-go is that if you are paying for the use of AI, you might needlessly be racking up online costly processing cycles. I will go ahead with the three expert personas and let the AI derive an answer to my posed question. I briefly conducted an additional cursory analysis via other major generative AI apps, such as Anthropic Claude, Google Gemini, Microsoft Copilot, and Meta Llama, and found their answers to be about the same as that of ChatGPT.

Operator is powered by the new Computer Using Agent (CUA) model, which pairs GPT4o’s vision skills with advanced reasoning. This all comes together to let Operator understand and use elements within a browser – the search bar, various buttons, and on-screen content. Based on the noteworthy qualms that my three expert personas are only within the confines of the one generative AI app that I was using, I opted to log into a different generative AI app and ask the same question that I had posed earlier. The chances are that a different generative AI will have a different semblance of the pattern-matching and the data was used during the initial setup. I say that this is only somewhat because most of the AI makers are nonetheless scanning much of the same parts of the Internet, see how this has led to a shared indication that has some disturbing consequences, per my discussion at the link here. You probably assume that each persona is independent of the other ones.

“They all want it, but they know there are pros and cons, and they want it done correctly.” he said. The appeal of applying AI to emergency operations is that these emerging technologies offer advanced capabilities to process information faster and enhance decision making. I’m taking responsibility for making sure students are really learning. One way I assess their skills is by assigning handwritten in-class essays and take-home essays where they can access AI tools. The FTC is also using its new software request process to gather “relevant information” to build its use case inventory. The agency “does not currently use AI tools that impact user safety or rights,” according to the compliance plan.

The aim would typically be when you are examining a topic that you’ve not previously considered and for which you find useful seeing multiple perspectives. One venue in which this approach especially shines is in an educational setting, such as having multiple experts debate a legal issue such as a portion of the constitution. It is almost like having a crew of legal beagles pontificating on a piece of the law. Operator is available today at operator.chatgpt.com to people in the US signed up with ChatGPT Pro, OpenAI’s premium $200-a-month service.

Participants can express comments during each of those meetings or within two weeks in writing. Reach her at or follow her on X, BlueSky, Facebook, or Instagram @blinfisher. Sign up for our free The Daily Money newsletter, which will include consumer news on Fridays, here.

This training process is compute-intensive, time-consuming and expensive. It requires thousands of clustered graphics processing units (GPUs) and weeks of processing, all of which typically costs millions of dollars. Open source foundation model projects, such as Meta’s Llama-2, enable gen AI developers to avoid this step and its costs. Organizations need to be able to confidently leverage the power of AI without compromising on security. By implementing a framework that allows the individual control of zones through network segmentation, business leaders will be able to not only mitigate threats, but also establish effective response and recovery processes while ensuring maximum performance business wide. A groundbreaking chatbot created in the 1960s has been painstakingly reconstructed from archived records and run for the first time in over half a century, as part of an effort to preserve one of the earliest examples of artificial intelligence.