AI Wrapped: The 14 AI terms you couldn't avoid in 2025 From "superintelligence" to "slop," here are the words and phrases that defined another year of AI craziness. If the past 12 months have taught us anything, it's that the AI hype train is showing no signs of slowing. It's hard to believe that at the beginning of the year, DeepSeek had yet to turn the entire industry on its head, Meta was better known for trying (and failing) to make the metaverse cool than for its relentless quest to dominate superintelligence, and vibe coding wasn't a thing. If that's left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over the AI terms that dominated the year, for better or worse. Make sure you take the time to brace yourself for what promises to be another bonkers year.

The latest technological advances suggest that the "AI revolution" will deliver socioeconomic turmoil, massive wealth redistribution – or both. Recent months have seen a lot of conversation about the dangers and opportunities presented by the latest advances in artificial intelligence (AI) technology. Most of this has been stirred up by ChatGPT, a generative AI chatbot created by the Microsoft-backed OpenAI and launched to the public in late 2022. The software's impressive capabilities – formulating articulate, (usually) accurate responses to complex questions, and creating text often indistinguishable from that of a human writer – have reignited debates about "the robots taking over." Much of the public appears divided into two camps: the technophiles, excited about "upgrading" our already symbiotic relationship with computers; and the modern-day Luddites, foes of progress who fear these new machines just as their predecessors feared textile mechanization.

It may seem obvious why the online market has such high growth rates, especially considering the events that occurred in the last couple of years and how they pushed people to use the internet for many services, including retail and banking. Similarly, daily and weekly bonuses and promotions have increased registration numbers on online casino sites. So, attributes such as electronic payment options, daily bonuses, and promotions all encourage new and existing players to keep coming back for more. The application of AI in gathering user data on new and returning players has assisted operators and developers in keeping fresh content that maintains relevance while creating targeted marketing campaigns. The bad news for those employees is that they would end up losing work to robots, which means an entire industry would take a hit. It may seem obvious why the online market has such high growth rates, especially considering the events that occurred in the last couple of years and how they pushed people to use the internet for many services, including retail and banking.

About 11 years ago I was standing outside in the snow in Munich, Germany with the CTO of a small company, Metaio. He was showing me monsters on the sides of buildings. Apple later bought his company. It got me interested in augmented reality and its uses to make people's lives more fun and more interesting. The way that first demo happened?

Machine intelligence is the last invention that humanity will ever need to make.

Earlier this month an article in the Financial Times by John Thornhill, the paper's innovation editor, caught my attention. Thornhill was relaying an intriguing set of ideas expressed by the authors of a new book, What To Do When Machines Do Everything? Before discussing the future impact of today's unfolding industrial innovations such as driverless cars, robotic surgery, precision agriculture, or automated beer service (as in the photo above), the three authors – Malcolm Frank, Paul Roehrig, and Ben Pring – make their first key point, citing the example of an early 19th century innovation that enabled an entire industry that generates $620bn. in annual revenues today. What could this invention have been – The steam engine? Theoretically, you might expect not be too far off with any one of these answers, but in fact the invention in question was … the lawnmower.

Many of these titles probably sound familiar to you. For a long time now, the concept of artificial intelligence has provided the masses with novels and blockbuster movies of science fiction, drama, comedy, and even unexpected stories of friendship. Hollywood and all of its fans have enjoyed these stories over the years -- appreciating them for what they are: Entertainment. Today, artificial intelligence (AI) has a very different meaning. In fact, as AI has moved from the silver screen to the screens of modern computers used by virtually every segment of society, it has a remarkably different purpose.

Technology company Continental has acquired a minority stake in Israeli start-up company Cartica AI. Cartica AI develops software in the field of artificial intelligence (AI). The solutions from Cartica AI are designed to accelerate machine learning in the field of object recognition. In the future, automotive systems for automated and autonomous driving will be able to adapt to and handle new traffic situations more quickly. The parties have agreed not to disclose the investment amount.

From driverless trucks and the conquering of Go and other complex board games, to the ability to help diagnose cancer and source great talent for HR teams, the applications of Artificial Intelligence (AI) are seemingly endless. AI is even being used to generate paintings and compose classical symphonies. For NASA most recently, AI helped in the discovery of two new planets. So I'd not be at all surprised if you're wondering how AI will impact aviation? But first, let me give you a definition: AI is a field of computer science that makes machines smart; machines powered by algorithms to solve specific problems or complete tasks that used to be handled by humans.

This post originally appeared on PhilipLay.com. To read the post from the original source click here. Earlier this month an article in the Financial Times by John Thornhill, the paper's innovation editor, caught my attention. Thornhill was relaying an intriguing set of ideas expressed by the authors of a new book, What To Do When Machines Do Everything? Before discussing the future impact of today's unfolding industrial innovations such as driverless cars, robotic surgery, precision agriculture, or automated beer service (as in the photo above), the three authors – Malcolm Frank, Paul Roehrig, and Ben Pring – make their first key point, citing the example of an early 19th century innovation that enabled an entire industry that generates $620bn. in annual revenues today.