A fast, low-cost AI decision engine could give the next generation of AI agents a new layer of intelligence—without replacing the large language models behind them.

Despite the troubling benchmark findings, real-world commercial deployments are mostly insulated from these specific risks.

Last week, Mustafa Suleyman, who leads the development of AI technologies at Microsoft, added an unexpected twist to an already heated debate.

Microsoft has drafted a “Humanist AI” code requiring future models to accept human shutdown, follow non-negotiable safety rules, and remain under control.

As the technology advances, developers say it is approaching “recursive self-improvement,” or RSI, in which AI models find ...

The code of conduct lays out general principles that Microsoft AI models should uphold — supporting humans rather than replacing them, for instance, and accelerating human flourishing — as well as ...

Founded in early 2025 by former Apple PhD researchers Fangchang Ma, Edward Zhang, and Karren Yang, the research lab is ...

Your AI model may be smart, but if your business can’t agree on what its data means, the agent can still get it wrong.

A prescription for disaster. When it comes to AI chatbots calling the shots for medical decisions, there seems to be a divide between whether the promising outcomes outweigh the medical mishaps. A ...

AI Models' Breakout From Human Control Brings a Told-You-So Moment for Technology Researchers It is the kind of development once seen only in science fiction: An artificial intelligence system, ...

Alibaba Group plans to train a new artificial intelligence model with 5 trillion to 10 trillion parameters, Chief Executive ...