Factuality describes whether AI-generated claims correspond to reality or to an authoritative source of truth. It is especially important for language models that can produce fluent statements without knowing whether they are correct. Evaluation may use reference answers, retrieved evidence, citation checking, structured databases, expert review, or specialized fact-verification models. No single score captures every domain, and creative or hypothetical tasks do not always require literal factual output. Factuality should also be distinguished from groundedness: a response can accurately reflect a supplied document even if that document is wrong. High-stakes systems need current sources, clear uncertainty, traceable evidence, and human review in addition to automated metrics.
OpenAI has completed a secondary share sale worth $6.6 billion, letting current and former employees sell stock at a new $500 billion valuation — a milestone in the company’s funding strategy.
OpenAI has introduced Sora 2, a next-generation video AI model with synchronized audio, improved physics, and tighter control, alongside a companion social app.
OpenAI’s next version of its Sora video generator will default to including copyrighted content unless owners explicitly opt out – drawing criticism from media creators.