Andy Warhol probably never said that thing about everyone in the future getting their 15 minutes of fame. It might have been Swedish art collector Pontus Hultén. Warhol is the household name, though, so he gets the credit. But he did say this: "Being good in business is the most fascinating kind of art." Warhol won his first advertising award in 1952.

Opera has released the early access version of its completely redesigned browser that it plans to launch for all platforms later this year. It's called Opera One, and it was designed to have a cleaner look with plenty of open space for future generative AI features and extensions in its sidebar and address bar. Opera says it has implemented a new multithreaded compositor and its new modular design principles for the browser to enable a fresh batch of features that include what it calls "tab islands." The browser has the capability to automatically and intuitively group websites people open based on their content. It will open all pages with menus and restaurant details in one island, for instance, and all tabs with Google Docs in another.

We provide a novel approach to construct generative models for graphs. Instead of using the traditional probabilistic models or deep generative models, we propose to instead find an algorithm that generates the data. We achieve this using evolutionary search and a powerful fitness function, implemented by a randomly initialized graph neural network. This brings certain advantages over current deep generative models, for instance, a higher potential for out-of-training-distribution generalization and direct interpretability, as the final graph generative process is expressed as a Python function. We show that this approach can be competitive with deep generative models and under some circumstances can even find the true graph generative process, and as such perfectly generalize. Generating new samples of graphs similar to a given set of graphs is a long-standing problem, which initially was tackled with various statistical models, such as the Erdős/Rényi model (Erdös & Rényi, 1959; Holland et al., 1983; Eldridge et al., 2017). While such models lend themselves well to formal analysis, they do not closely fit real-world graph distributions. More recently, deep generative models have proven to fit graph distributions well (You et al., 2018; Liao et al., 2020; Simonovsky & Komodakis, 2018; Martinkus et al., 2022; Haefeli et al., 2022; Vignac et al., 2022). However, similar to other deep models, they are not interpretable and struggle to generalize to graph sizes outside of the training distribution. In this work, we propose an alternative approach.

WASHINGTON – When the U.S. Supreme Court decides in the coming months whether to weaken a powerful shield protecting internet companies, the ruling also could have implications for rapidly developing technologies like artificial intelligence chatbot ChatGPT. The justices are due to rule by the end of June whether Alphabet's YouTube can be sued over its video recommendations to users. That case tests whether a U.S. law that protects technology platforms from legal responsibility for content posted online by their users also applies when companies use algorithms to target users with recommendations. What the court decides about those issues is relevant beyond social media platforms. Its ruling could influence the emerging debate over whether companies that develop generative AI chatbots like ChatGPT from OpenAI, a company in which Microsoft Corp is a major investor, or Bard from Alphabet's Google should be protected from legal claims like defamation or privacy violations, according to technology and legal experts. This could be due to a conflict with your ad-blocking or security software.

Robert Pearl, a professor at Stanford medical school, was previously CEO of Kaiser Permanente, a US medical group with more than 12 million patients. If he was still in charge, he'd insist that all of its 24,000 physicians start using ChatGPT in their practice now. "I think it will be more important to doctors than the stethoscope was in the past," Pearl says. "No physician who practices high-quality medicine will do so without accessing ChatGPT or other forms of generative AI." Pearl no longer practices medicine but says he knows physicians using ChatGPT to summarize patient care, write letters, and even--when stumped--ask for ideas on how to diagnose patients. He suspects doctors will discover hundreds of thousands of useful applications of the bot for the betterment of human health.

Customer service workers at a Fortune 500 software firm who were given access to generative artificial intelligence tools became 14% more productive on average than those who were not, with the least-skilled workers reaping the most benefit. That's according to a new study by researchers at Stanford University and the Massachusetts Institute of Technology who tested the impact of generative AI tools on productivity at the company over the course of a year. The research marks the first time the impact of generative AI tools on work has been measured outside the lab. Prior studies have benchmarked the capabilities of large language models against tasks in fields like law and medicine -- showing that, for example, GPT-4 aces the bar exam in the 90th percentile. Other research has tested the tech's impact on workers' performance of isolated writing tasks in small-scale laboratory settings.

Background: Recently, ChatGPT and similar generative AI models have attracted hundreds of millions of users and become part of the public discourse. Many believe that such models will disrupt society and will result in a significant change in the education system and information generation in the future. So far, this belief is based on either colloquial evidence or benchmarks from the owners of the models -- both lack scientific rigour. Objective: Through a large-scale study comparing human-written versus ChatGPT-generated argumentative student essays, we systematically assess the quality of the AI-generated content. Methods: A large corpus of essays was rated using standard criteria by a large number of human experts (teachers). We augment the analysis with a consideration of the linguistic characteristics of the generated essays. Results: Our results demonstrate that ChatGPT generates essays that are rated higher for quality than human-written essays. The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays, e.g., it is characterized by fewer discourse and epistemic markers, but more nominalizations and greater lexical diversity. Conclusions: Our results clearly demonstrate that models like ChatGPT outperform humans in generating argumentative essays. Since the technology is readily available for anyone to use, educators must act immediately. We must re-invent homework and develop teaching concepts that utilize these AI models in the same way as math utilized the calculator: teach the general concepts first and then use AI tools to free up time for other learning objectives.

Working out who has produced work isn't always an easy matter Tools to detect if a body of English text has been written by humans or artificial intelligence exhibit bias against people whose primary language isn't English. The tests frequently misidentify their work as being created by an AI. Text-generating AI models such as OpenAI's ChatGPT and GPT-4 are being used by some students at schools and universities to create essays that they are passing off as their own work.

Sam Altman became a tech sensation this year as the CEO of OpenAI, the artificial-intelligence startup that seems pulled from science fiction. But Mr. Altman, who has been among Silicon Valley's most prominent investors for more than a decade, has placed one of the biggest bets of his career on a company that might be even more futuristic: a nuclear-fusion startup called Helion Energy Inc.

As generative AI tools continue to overwhelm "future of technology" discussions at every level, Communications' Senior Editor Ralph Raiola thought it might be interesting to collaborate with OpenAI's ChatGPT on an original sci-fi short story. Here's a full transcript of the process and a partially finished product. COMMUNICATIONS: ChatGPT, would you like to write a sci-fi short story with me?