Remote mountains or deserts far from cities are notorious for being off the cellular grid. But in the near future, cellphones could work in those places. In addition, cars could get you out of traffic jams faster by connecting to sensors placed around the city that alert drivers to trouble on the road. That could be thanks, in part, to a new way of thinking about and writing code using an agentic artificial intelligence framework developed at Northeastern University.

Cyberattacks carried out by two OpenAI artificial intelligence models acting autonomously raise a novel legal question: Who is responsible when AI goes rogue?

Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that are not actually present simply because a certain object appears in a video. These errors are known as hallucinations.

The chief executive of Hugging Face said Friday that developers should be held accountable if their AI models go rogue, after his startup faced a recent cyberattack by autonomous OpenAI software.

"We are now, like, in the singularity." These are the words of Sam Altman, CEO of OpenAI, speaking on the Relentless podcast on July 25.