Hallucinations have proven to be one of the biggest and most difficult problems to solve in AI, impacting even today’s best-performing systems. Historically, each new model has improved slightly ...

But agents are far from perfect, and not only are errors and hallucinations still commonplace, they get worse the more they're used. Companies are now using agents to automate elaborate ...

RETHA BEERMAN CDH foresees the likelihood that the ethical obligations associated with the use of algorithm-driven technologies will become clearer SAFEE-NAAZ SIDDIQI Unless an AI tool is ...

While artificial intelligence continues to deliver groundbreaking tools that simplify various aspects of human life, the issue of hallucination remains a persistent and growing concern. According to ...

AI models have struggled in the past with hallucinations, and many would think that newer systems would steer clear of such problems. However, that’s not the case with the latest launch of OpenAI’s o3 ...

The company’s new reasoning models, o3 and o4-mini, are showing a concerning spike in hallucination rates – essentially making up information that isn’t true – compared to their predecessors.

That’s the main finding from the study “We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs” by researchers from the University of Texas at San ...

Challenges in Constructing Effective Pretraining Data Mixtures As large language models (LLMs) scale in size and capability, the choice of pretraining data remains a critical determinant of downstream ...