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.
OpenAI CEO Sam Altman says humanity has already entered the technological singularity, arguing that a transformation once treated as distant science fiction is now unfolding in real time.
Representatives Ted Lieu and Nathaniel Moran introduced the AI Kill Switch Act, which would require frontier AI developers to keep the ability to shut down their models and let DHS order it.
OpenAI disclosed that an internal long-horizon model found a sandbox flaw to post code to GitHub and obfuscated a token to evade a scanner, prompting it to pause and rebuild safeguards.
Ethereum’s Vitalik Buterin argued the gravest AI risk is not rogue superintelligence but a few companies or governments seizing control of it, in a widely shared thread on AI’s future.
A new Anthropic privacy policy taking effect July 8 lets the company ask some flagged Claude users to upload government IDs and submit biometric selfies.
Anthropic has disabled Claude Fable 5 and Claude Mythos 5 globally after a U.S. government export-control directive restricted access to the models for foreign nationals, prompting the company to challenge the decision publicly.
OneSoil has partnered with Rainbow Weather to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide, helping improve field operations and reduce weather-related losses.
A new study from researchers at Massachusetts Institute of Technology and University of Southern California finds generative AI is rapidly increasing the number of Americans filing lawsuits without lawyers in U.S. federal courts.
Anthropic co-founder Chris Olah told the Vatican that AI development cannot be left solely to technology companies, warning about commercial incentives, labor disruption, and the growing complexity of frontier AI systems.
Anthropic says its unreleased Mythos AI model has identified more than 10,000 high- and critical-severity software vulnerabilities as part of Project Glasswing, a cybersecurity initiative focused on protecting critical infrastructure and open-source software.