Next month ChatGPT will celebrate its first birthday – marking a year in which the chatbot, for many, turned AI from a futuristic concept to a daily reality. Its universal accessibility has led to a host of concerns, from job losses to disinformation to plagiarism. Over the same period, tens of millions of users have been investigating what the platform can do to make their lives just a little bit easier. Upon its release, users quickly embraced ChatGPT's potential for silliness, asking it to play 20 questions or write its own songs. As its first anniversary approaches, people are using it for a huge range of tasks.

The researchers, from the University of Cambridge, studied industry data from the UK and 24 other European countries between 1995 and 2017, and found that at low levels of adoption, robots have a negative effect on profit margins. But at higher levels of adoption, robots can help increase profits. According to the researchers, this U-shaped phenomenon is due to the relationship between reducing costs, developing new processes and innovating new products. While many companies first adopt robotic technologies to decrease costs, this'process innovation' can be easily copied by competitors, so at low levels of robot adoption, companies are focused on their competitors rather than on developing new products. However, as levels of adoption increase and robots are fully integrated into a company's processes, the technologies can be used to increase revenue by innovating new products.

For a prolific art collector, Nicolai Tangen is remarkably relaxed about the prospect of masterpieces created by robots. The threat of AI-made paintings, impossible to distinguish from human brushstrokes, has sparked soul-searching and paranoia in the art world, but not with Tangen. "Hey, if it creates better art that's fantastic," says the Norwegian philanthropist, art historian and boss of the world's biggest sovereign wealth fund. "If you create something which is even more aesthetically pleasing, what's wrong about that?" Tangen's own gallery, a converted grain silo in the Norwegian seaside resort of Kristiansand, will open later this year to display one of the world's biggest collections of Nordic modernist art. Tangen has amassed more than 5,000 works by 300 artists.

Asset Entities is a publicly listed set of social media accounts and Discord servers that churn out get-rich-quick tips for Gen Z. It reported a net loss of $413,000 last year. But give Texas-based vice president Kyle Fairbanks just 21 49 seconds and he'll tell you how to (maybe) make $20,000 a month arbitraging AirBnbs up and down the East Coast. He has an extensive corpus. For a few wondrous hours on Monday it was the Nasdaq's best-performing stock.

The Consumer Financial Protection Bureau issued a warning on Tuesday on generative AI chatbots being used by banks. The agency says it's received "numerous" complaints from customers who have interacted with the chatbots and have failed to receive "timely, straightforward" answers to their questions. "Working with customers to resolve a problem or answer a question is an essential function for financial institutions – and is the basis of relationship banking," the agency said in its press release. AI chatbots could run the risk of providing inaccurate financial information to customers or infringe on their privacy and data, CFPB said. Artificial intelligence chatbots could run the risk of providing inaccurate financial information to customers or infringe on their privacy and data, the CFPB said.

There are just a handful of companies that have surpassed the $1 trillion market cap, including Google parent Alphabet, Microsoft, Saudi Aramco, Amazon and Apple. On Tuesday, California-based Nvidia's market cap jumped high enough to be among their ranks. The chipmaker, which makes graphics processing units (GPUs) that help power generative artificial intelligence platforms, has seen its stock price soar as more companies look to expand their AI offerings. Nvidia hit a market cap of $1 trillion Tuesday with shares opening at $405.95, although it eased below that milestone by midday after shares dipped below $404.86. The company's valuation puts it above Facebook parent company Meta, Warren Buffett's Berkshire Hathaway and Elon Musk's Tesla.

This article was co-published with Understanding AI, a newsletter that explores how A.I. works and how it's changing our world. In 2011, venture capitalist Marc Andreessen published an essay that became a kind of manifesto for Silicon Valley during the 2010s. "Software is eating the world," Andreessen declared. Computers and the internet had already revolutionized a bunch of information-oriented businesses: books, movies, music, photography, telecommunications, and so forth. Software also played a major supporting role in more tangible industries. New cars had dozens of computer chips in them, for example, and the oil and gas industry made heavy use of software to discover new drilling sites. But Andreessen, co-founder of the venture capital firm Andreessen Horowitz, argued that the software revolution was only getting started.

In the AI ecosystem, diffusion models are setting up the direction and pace of technological advancement. They are revolutionizing the way we approach complex generative AI tasks. These models are based on the mathematics of gaussian principles, variance, differential equations, and generative sequences. Modern AI-centric products and solutions developed by Nvidia, Google, Adobe, and OpenAI have put diffusion models at the center of the limelight. DALL.E 2, Stable Diffusion, and Midjourney are prominent examples of diffusion models that are making rounds on the internet recently.

In the 1990s, business process reengineering was all the rage: Companies used budding technologies such as enterprise resource planning (ERP) systems and the internet to enact radical changes to broad, end-to-end business processes. Buoyed by reengineering's academic and consulting proponents, companies anticipated transformative changes to broad processes like order-to-cash and conception to commercialization of new products. But while technology did bring major updates, implementations often failed to live up to the sky-high expectations. For example, large-scale ERP systems like SAP or Oracle provided a useful IT backbone to exchange data, yet also created very rigid processes that were hard to change past the IT implementation. Since then, process management typically involved only incremental change to local processes -- Lean and Six Sigma for repetitive processes, and Agile Lean Startup methods for development -- all without any assistance from technology.

Microsoft's often-overlooked search engine, Bing, is mounting a comeback with ChatGPT, the suddenly ubiquitous chatbot capable of composing song lyrics, writing academic essays and answering all manner of questions. The new version of Bing was released to a limited group of users on Tuesday. The revamped product is part of Microsoft's $13 billion investment in OpenAI, the artificial intelligence lab behind ChatGPT that Microsoft is betting on to stay competitive with its big tech rivals like Google, Apple and Meta. But those companies are also racing to incorporate the new technology into their own software. A day before the unveiling of the new Bing, Google announced that it would soon release an experimental chatbot called Bard for its own search engine, which is much more widely used than Bing.