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Fixing Hallucinations Would Destroy ChatGPT, Expert Finds

In a paper published earlier this month, OpenAI researchers said they'd found the reason why even the most powerful AI models still suffer from rampant "hallucinations," in which products like ChatGPT confidently make assertions that are factually false. They found that the way we evaluate the output of large language models, like the ones driving ChatGPT, means they're "optimized to be good test-takers" and that "guessing when uncertain improves test performance." In simple terms, the creator

OpenAI Realizes It Made a Terrible Mistake

OpenAI claims to have figured out what's driving "hallucinations," or AI models' strong tendency to make up answers that are factually incorrect. It's a major problem plaguing the entire industry, greatly undercutting the usefulness of the tech. Worse yet, experts have found that the problem is getting worse as AI models get more capable. As a result, despite incurring astronomical expenses in their deployment, frontier AI models are still prone to making inaccurate claims when faced with a pr

Are bad incentives to blame for AI hallucinations?

A new research paper from OpenAI asks why large language models like GPT-5 and chatbots like ChatGPT still hallucinate, and whether anything can be done to reduce those hallucinations. In a blog post summarizing the paper, OpenAI defines hallucinations as “plausible but false statements generated by language models,” and it acknowledges that despite improvements, hallucinations “remain a fundamental challenge for all large language models” — one that will never be completely eliminated. To ill

What Are AI Hallucinations? Why Chatbots Make Things Up, and What You Need to Know

If you've used ChatGPT, Google Gemini, Grok, Claude, Perplexity or any other generative AI tool, you've probably seen them make things up with complete confidence. This is called an AI hallucination -- although one research paper suggests we call it BS instead -- and it's an inherent flaw that should give us all pause when using AI. Hallucinations happen when AI models generate information that looks plausible but is false, misleading or entirely fabricated. It can be as small as a wrong date i

Hallucinations in AI Models: What They Mean for Software Quality and Trust

Modern businesses are rushing to adopt artificial intelligence (AI) technologies, but this rapid integration comes with unexpected challenges. A phenomenon known as “hallucinations” occurs in large language models (LLMs) and deep learning systems and threatens software quality and trust. These hallucinations occur when AI presents false information as fact. The damage extends beyond technical failures, as user trust erodes, brand reputations suffer, and ethical questions multiply. Practical appr