The first time I ran one of my blog posts through GPTZero, I had that same uneasy feeling I get when airport security pulls me aside for a “random” check. You know you haven’t done anything wrong, but you also suddenly forget what shoes are. GPTZero is one of the big names in the AI

YouTube is nothing without its advertisers. The beating heart of the video platform, big box companies have been locked in a historic game of Whac-a-Mole against low-quality YouTube content, which they say leads to a lowered perception of brands when paired with their ads. In the past, these high-risk videos took the form of right-wing

Do you like AI models? Well, chances are, they sure don’t like you back. New research suggests that the industry’s leading large language models, including those that power ChatGPT, display an alarming bias towards other AIs when they’re asked to choose between human and machine-generated content. The authors of the study, which was published in

Were you to glance at the trajectory of top AI stocks — OpenAI, Microsoft, Nvidia, and the like — you’d be convinced the industry is making money hand over fist. Look a bit deeper, however, and cracks start to show in that facade, betraying one massively inconvenient truth: that the AI industry has not yet

Content warning: this story includes discussion of self-harm and suicide. If you are in crisis, please call, text or chat with the Suicide and Crisis Lifeline at 988, or contact the Crisis Text Line by texting TALK to 741741. It’s the dawn of a new era for the internet in 2025. Thanks to the incredible

President Donald Trump’s cost-cutting measures to decrease the federal budget have already been backfiring. Federal workers are being fired and rehired. Elon Musk’s so-called Department of Government Efficiency has been deemed an utter failure as well. And now, the United States’ lead in AI technologies and Trump’s own policy proposal to boost AI are under

Washington, D.C. — In what might be one of the most ambitious educational investments of the AI age, Google has committed $1 billion to train university students across the U.S. in the field of artificial intelligence. Yep, a billion—with a “B.” The tech titan announced this initiative as part of its broader effort to close

There’s something oddly nerve-wracking about running your work through an AI and plagiarism detector. It’s a bit like going through airport security—most of the time, you know you’re fine, but you still feel like the scanner might beep and everyone will turn to look. As AI writing tools have become more common in academic, creative,

Nvidia has floated the idea of “Graphics 3.0” with the hope of making AI-generated graphics central to physical productivity, especially in factories and warehouses. The concept revolves around graphics generated by generative AI (genAI) tools as opposed to humans. Nvidia said AI-generated graphics could help in multiple ways, including training robots to do their jobs in

IT loves buzzwords. But it is now becoming frightfully common for analysts, vendors and even other IT specialists to take established tech phrases and assign them entirely new meanings. (And to be clear, none of these folk ever spell out that that’s what they are doing.) Case in point: “Tech debt”. That term has meant