In artificial intelligence, a hallucination refers to an output generated by an AI model that appears confident and factual but is actually false or unsupported by real data. This phenomenon often occurs in large language models and generative systems when they fill gaps in knowledge or misinterpret training information. Hallucinations can take the form of incorrect facts, fabricated sources, or unrealistic images, depending on the AI application. They highlight one of the biggest challenges in AI development—ensuring reliability, accuracy, and verifiable outputs. Researchers and developers use techniques like model fine-tuning, retrieval-augmented generation, and human oversight to reduce hallucinations and build more trustworthy systems.
Disney and OpenAI announced a three-year licensing deal allowing Sora to generate fan-inspired short videos featuring over 200 Disney, Marvel, Pixar, and Star Wars characters.
OpenAI faces a wrongful death lawsuit alleging ChatGPT reinforced a man’s violent delusions, contributing to the killing of his mother in Connecticut. The case marks the first time an AI platform has been accused of involvement in a murder.
Google introduced the Titans architecture and the MIRAS framework to enable AI models to handle massive contexts and update their internal memory while running, improving performance in long-sequence tasks.
ChatGPT now reaches more than 800 million weekly users, creating a powerful adoption flywheel that is speeding the transition from AI experimentation to full-scale enterprise deployment, according to OpenAI’s new 2025 report.
OpenAI buys Neptune for under $400 million in stock, gaining advanced AI model tracking tools and strengthening capabilities in large-scale AI development.
OpenAI introduces an experimental “confessions” system that rewards honest self-reporting of mistakes in GPT-5 Thinking models, aiming to improve AI safety and visibility of failures.
AWS introduced new tools for enterprise customers to build and fine-tune custom large language models, alongside AI infrastructure offerings for on-premises deployments.
Amazon’s AI shopping assistant Rufus saw a sharp spike in Black Friday usage, fueling significantly higher purchase-conversion rates compared with non-AI sessions, according to new data from Sensor Tower and Adobe Analytics.
Amazon employees demand ethical AI practices, warning that the company’s fast-paced AI rollout risks worker safety, democratic oversight, and environmental sustainability.
OpenAI and Perplexity introduced AI shopping tools this week, helping users find products through chat-based queries. Experts say startups with niche datasets may still outperform general-purpose chatbots.