It's been 10 years since Go champion Lee Sedol lost to DeepMind's AlphaGo. Has the technology lived up to its potential?

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

The first reason to doubt the doomer scenario for AI and unemployment is that it keeps not happening. Or, more precisely: ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Tech companies have told MPs and Lords they would welcome greater harmonisation in regulatory standards at a global level.

To get a better understanding of how the U.S. military is actually employing AI tools in warfare now, I talked with Emelia Probasco, a senior fellow at Georgetown’s Center for Security and Emerging ...

President Donald Trump has ordered all U.S. agencies to stop using Anthropic technology after the company’s unusually public ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Amodei recommended that all labs develop “a true ‘MRI for AI,’” but he acknowledged that they might not have enough time, given how quickly AI is advancing. This interpretability problem gets to the ...

LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.

LightSite AI has released new research analyzing how large language models (LLMs) interpret brand information from websites. Based on millions of AI-bot ...