For leaders, the challenge is not simply adopting AI but designing organizations and workflows that allow it to thrive alongside human talent.

Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

A vulnerability in the telnetd of GNU Inetutils allows attackers from the network to inject malicious code – without prior ...

Generating the output is free. Knowing when it's lying is the moat. Why verification—not intelligence—is the binding constraint on the AI economy.

Look up! It’s not a plane or a bird—it’s Ukraine’s drones, terrifying Putin’s troops into surrender. Over the winter, more than 100 Russian soldiers laid down their arms rather than face these unhuman ...

Does vibe coding live up to all the hype? As someone who's written a fair amount about how AI can turn anyone into a ...

Zapier reports AI agent orchestration coordinates specialized AI agents for efficient, cohesive workflows, enhancing ...

In quishing attacks, cybercriminals place QR codes containing malicious links in public places, such as parking meters or ...

Meta's Manus AI agent launches "My Computer" for macOS and Windows, enabling local file and app control, a direct response to ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models ...

Quantum AI may become the most consequential technology in human history. Yet it feels like someone else's problem to us.