From the outside, all seems well: Wikipedia continues to be used by millions around the world, editorial activity remains strong, and accessing the world’s most comprehensive free encyclopaedia is as natural in 2025 as it ever was. But under the surface, something is shifting. A new study from King’s College London casts a clear, sober light on the subtle power shift taking place in the digital knowledge space – one driven by artificial intelligence.

In the fast-evolving world of generative AI, there are plenty of tools – but very few that truly unlock the full potential of large language models (LLMs) in real-world applications. LangChain is one of those rare exceptions. Now widely regarded as the go-to open-source framework for building advanced LLM-based solutions, LangChain brings clarity, structure and deep integration to a field that has long been dominated by ad-hoc prompts and disconnected experiments.

What was once just a search bar is now becoming a digital assistant. In September 2025, Google began rolling out its most significant browser update to date: the deep integration of Gemini into the Chrome browser. While it may seem like a handy new feature on the surface, this development marks a fundamental shift in how we interact with the internet. Chrome is no longer just a window to the web – with Gemini, it becomes a co-pilot for everyday digital life.

Stan Lee, the man behind Spider-Man, the Avengers and countless other comic book icons, passed away in 2018. Yet his legacy is about to be revived in a form that is as fascinating as it is controversial: this year’s Los Angeles Comic Con will feature an AI-driven hologram of the legendary Marvel creator. The organisers are calling it the “Stan Lee Experience” – promising something far more immersive than a simple tribute.

Artificial intelligence is transforming the world of work at breathtaking speed. Algorithms are screening job applications, optimising production workflows and handling customer queries. But who decides how these systems are used? And what role do employees play in that decision? In Germany, the answer is clear: co-determination.

It’s one of the most fascinating and controversial ideas of our time – and it goes by a name that sounds more like science fiction than science: AGI, short for Artificial General Intelligence. At its core lies an ambition as bold as it is profound – to create a machine capable of thinking, learning and acting like a human being, only faster, more precisely, and without limits. But what exactly does that mean? Where do we stand today? And how close are we really to this final frontier of artificial intelligence?

US artificial intelligence company Anthropic – creator of the Claude chatbot and founded by former OpenAI employees – has made headlines with a landmark settlement: it plans to pay a staggering $1.5 billion to authors.

It may sound like a joke – Google Nano Banana – but behind this quirky codename lies one of the most powerful visual AI models ever released: Gemini 2.5 Flash Image. Since August 2025, this next-generation image model has been turning heads, not just among tech insiders but across the global user base. Whether you're an engineer, a content creator, or simply someone with a wild imagination – Nano Banana is about to change how we think about images.