Artificial intelligence has developed a distinctive writing style that readers are learning to identify almost instantly. From student essays to corporate communications, AI-generated text carries unmistakable markers that reveal its algorithmic origins. Sam Wolfson writes about this for the New York Times. He describes how AI writing relies heavily on specific patterns: the “It’s not …
Researchers have developed a method called Verbalized Sampling that uses a single sentence to make generative AI models produce more diverse and creative responses. The technique works on large language models like GPT-4 and Claude without requiring any retraining. Carl Franzen reports for VentureBeat that this method addresses the common problem of AI models giving …
Content for online shops needs to change because its audience is changing: Your next “customer” might not be a human but an AI. You think this seems far-fetched? It’s not. It is a shift happening right now. The way people discover, compare, and buy products is being changed by AI assistants like ChatGPT, AI search …
Wikipedia volunteers have compiled an extensive field guide to detect AI-generated text on the online encyclopedia. The document lists dozens of writing patterns, formatting quirks and technical markers that signal undisclosed use of chatbots like ChatGPT. WikiProject AI Cleanup publishes the guide as an advice page for editors. The list draws on observations from thousands …
Large language models consistently claim that a seahorse emoji exists, even though no such emoji has ever been part of the Unicode standard. Theia Vogel reports on her website about this peculiar behavior and its technical causes. When asked about the existence of a seahorse emoji, models like GPT-5, Claude Sonnet 4.5, and Gemini 2.5 …
What if we see generative AI not solely as a threat to creatives, but also a powerful new tool for creative expression? Don’t get me wrong: I’m very familiar with the fears and criticism around AI. Just have a look at the tag “Criticism” on this page. It’s important to acknowledge and document these discussions: …
For years, the goal was simple: get to the top of the Google results page. We wrote articles, built links, and optimized every element of our content to earn that precious number one spot. But what happens when the results page as we know it changes radically? What if, instead of a list of blue …
Researchers building large language models (LLMs) face a major challenge in understanding how these AI systems actually function, according to a recent article in Quanta Magazine by James O’Brien. The development process resembles gardening more than traditional engineering, with scientists having limited control over how models develop. Martin Wattenberg, a language model researcher at Harvard …
What if you could take a piece of writing or an image you love and capture its style, tone, or structure in a way that’s easy to reuse, recreate, or adapt? What if you could say to an AI: “This is the kind of result I want. Break it down for me, so I can …
Prompt engineering, once considered a promising career in artificial intelligence with potential salaries of up to $250,000, has become largely obsolete, reports Isabelle Bousquette in The Wall Street Journal. The role, which involved crafting precise inputs for AI models, has diminished in importance as newer AI systems have become better at understanding user intent and …