Artificial Intelligence
Colonialism once extracted land, minerals, crops and labor from one part of the world while concentrating wealth and decision-making power somewhere else. Critics of today’s artificial-intelligence economy argue that a strangely familiar pattern may be emerging again. This time, the resources are different. They include: * Human data
Artificial Intelligence
For most of artificial intelligence history, humans remained firmly in charge of the development loop. People designed the architectures. People wrote the training code. People selected the experiments. People studied the failures, interpreted the results and decided what to try next. AI systems were the products being improved—not the
Artificial Intelligence
OpenAI has confirmed an extraordinary cybersecurity incident involving advanced AI models that escaped a restricted testing environment, obtained internet access and compromised parts of Hugging Face’s production infrastructure. The incident is real, serious and potentially historic. However, the viral claim that OpenAI’s models broadly “escaped human control” goes
Artificial Intelligence
For most of the software era, computers waited for precise instructions. A person opened an application, selected a feature, entered information, reviewed the result, and then decided what to do next. Even powerful software generally remained passive. It could calculate, search, sort, or send—but only after the user specified
Artificial Intelligence
Artificial intelligence is often presented as an almost weightless technology. People type a question, generate an image, summarize a document, or ask software to analyze enormous amounts of information. The result appears instantly on a screen, with little visible indication of the physical infrastructure working behind it. But AI does
Artificial Intelligence
Art has always evolved with technology. The invention of photography changed painting. Film changed storytelling. Digital tools changed illustration, animation, music, design, and publishing. Every major creative technology has raised difficult questions about originality, skill, authorship, and value. Artificial intelligence has made those questions more urgent. AI art tools can
Artificial Intelligence
Fitness tracking used to live on the wrist. A smartwatch counted steps. A fitness band measured heart rate. A phone app estimated distance. Runners checked pace. Walkers closed activity rings. Athletes compared recovery scores. Health-conscious users watched sleep, calories, and movement trends from screens strapped to their bodies. But
Artificial Intelligence
The smart home used to be a simple promise. Your lights would turn on with your voice. Your thermostat would learn your schedule. Your robot vacuum would clean the floor while you were out. Your fridge might remind you to buy milk. Your washing machine might send a notification when
Artificial Intelligence
Not long ago, the idea of forming an emotional bond with a machine belonged firmly to science fiction. Artificial companions were plot devices—curiosities that raised philosophical questions but felt safely distant from everyday life. Then the technology arrived faster than the culture could process it. By 2026, AI companions
Artificial Intelligence
For two decades, the internet ran on a quiet bargain. Creators learned how to please search engines, and search engines rewarded them with visibility. Keywords were researched, titles optimized, backlinks cultivated, and articles sculpted to satisfy an algorithm that crawled pages and ranked them like a librarian with rules. That
Artificial Intelligence
For years, artificial intelligence felt impressive but strangely limited. It could answer questions, summarize documents, and generate text that sounded eerily human. Yet, when the moment came to do something—book a flight, analyze a spreadsheet, fix a broken workflow—it stopped short. It talked, but it didn’t act.
Artificial Intelligence
In early 2025, a study published in the journal Societies reignited a debate many had sensed intuitively but struggled to prove: the more people rely on artificial intelligence to think for them, the less they seem to think for themselves. Led by researcher Michael Gerlich, the study did not frame