AI-powered "virtual employees" are on the horizon, but their integration raises urgent questions about cybersecurity, accountability, and the future of human-machine collaboration.

Geoffrey Hinton argues that humans, like AI, rely less on logic and more on analogy, suggesting we’re all “pattern-matching machines.”

By guiding LLMs to focus on outputs that are more likely to be valid and accurate, the method reduces computational waste and improves the reliability of AI-generated code.

Mechanize aims to automate all work, sparking debates on the future of labor and the role of AI in society

MIT’s new AI-enhanced planner slashes scheduling time by over 50%, but raises questions about transparency in high-stakes decisions.

A high school student just used AI to uncover 1.5 million hidden cosmic objects—and transformed space science in the process.

OpenAI’s GPT-4.1 blends power with accessibility, but are we thinking critically enough about where it’s headed?

Could legal personhood for AI quietly shift power away from humans — and rewrite the rules of ownership and accountability?

Even AI can fall into human judgment traps; so who’s really making the smarter decisions?