A Nobel Prize-winning scientist is raising eyebrows about a new AI-generated image of the supermassive black hole at the heart of our galaxy. While the tech behind the image is impressive, some experts worry about the accuracy and implications of letting algorithms interpret such complex cosmic data.

Editor’s Note: AI is creeping into even the most cutting-edge fields of science, and not everyone’s thrilled about it. This isn’t just about pretty space pictures—it’s a debate over whether we can trust machines to "see" things we can’t fully verify ourselves. If AI gets astronomy wrong, it could send researchers down dead-end theories, wasting time and resources. But if it works? It might revolutionize how we study the universe. Either way, the black hole at the center of this story isn’t the only thing with gravity—the ethical questions around AI in science are just as heavy.

AI is getting smarter, but it's also getting more creative with its mistakes. OpenAI's latest model is their most capable yet, but it's also more prone to "hallucinations"—making up facts or confidently stating false information. The article digs into whether we can (or should) rein in this tendency, or if it's just the price of progress.

Editor’s Note: As AI becomes more integrated into everything from search engines to medical advice, its tendency to fabricate answers isn't just a quirky flaw—it's a real problem. But fixing hallucinations might mean sacrificing some of the creativity and flexibility that make advanced AI so useful in the first place. It's a tricky balance between accuracy and capability, and the stakes keep getting higher.