At the (tail) end of 2024, Billie Eilish sat cross-legged on stage and began to miaow. Her fans erupted in harmony, each belting out an off-key miaow of their own. This is because Eilish's Oscar-winning track What Was I Made For? – a lachrymose Barbie cut lamenting adulthood's entailing ennui – has become the default soundtrack for a new breed of cat video. You may recognise it: the song often plays over the top of these AI-generated fantasias featuring a cartoonishly fat cat or an equally buff feline with a suspiciously veiny human body. The cat cheats on her lover, falls pregnant or seeks revenge in a weirdly condensed soap opera.

In February, Opera shared plans to integrate generative AI capabilities into its web browser using ChatGPT. Now, the independent browser maker has launched sidebar integration for both ChatGPT and ChatSonic and has introduced another feature called smart AI Prompts. To get these features, you'll need to update your browser and then go to Easy Setup to toggle on the "AI Prompts" option at the bottom. For the Opera GX browser for games, you also need to have the Early Bird option enabled in your browser settings. Once the option is switched on, you'll see buttons for the chatbots on your sidebar, which you can click if you want to launch them within the browser.

Have you ever caught yourself thinking that no one understands you better than Netflix or YouTube? They just seem to get what you want and are always ready to deliver. The explanation for this impressive personalization lies in advanced data analytics mechanisms. The privacy concerns around big data are not empty words – BI does help business owners monetize your desires. When one thinks of the entertainment industry, the things that come to mind first are movies, theaters, concert venues, and sporting events.

Ten years ago, there was a revolution in the way video games told stories. Games such as Grand Theft Auto, Assassin's Creed and Yakuza began to combine freely explorable open-world environments with story missions and side quests, allowing players to drop in and out of the main plotlines as they wished – or abandon them altogether. The experience of playing narrative video games changed forever. So where can we expect narrative games to go next? At the Celsius 232 festival, we sat down with five experienced narrative designers: Witcher 3 writer Jakub Szamałek, comic book and games writers Dan and Nik Abnett, Bungie narrative designer Margaret Stohl and Tom Jubert, writer of Faster Than Light and The Talos Principle.

A number of approaches have been advanced for taking data about a user's likes and dislikes and generating a general profile of the user. These profiles can be used to retrieve documents matching user interests; recommend music, movies, or other similar products; or carry out other tasks in a specialized fashion. This article presents a fundamentally new method for generating user profiles that takes advantage of a large-scale database of demographic data. These data are used to generalize user-specified data along the patterns common across the population, including areas not represented in the user's original data. The input data most often take the form of samples of the user's interests or preferences in a given area, and the profile is a generalization of these data that can be used generatively to carry out tasks on behalf of the user.

A number of approaches have been advanced for taking data about a user's likes and dislikes and generating a general profile of the user. These profiles can be used to retrieve documents matching user interests; recommend music, movies, or other similar products; or carry out other tasks in a specialized fashion. This article presents a fundamentally new method for generating user profiles that takes advantage of a large-scale database of demographic data. These data are used to generalize user-specified data along the patterns common across the population, including areas not represented in the user's original data. I describe the method in detail and present its implementation in the LIFESTYLE FINDER agent, an internet-based experiment testing our approach on more than 20,006 users worldwide.