Keith: Let’s jump right into why people’s tech stacks might actually be breaking the company when it comes to AI. First, AI was supposed to make companies faster and more agile.

The need for at least 24GB of VRAM to run Muse Glimmer is just one factor that makes its value challenging to determine.

Historically, IT has been the business world’s BS-detector when it comes to tech claims. That all changed when CEOs and boards got involved, so, yes, we’re all doomed.

In short, yes — the arrival of AI has sped up the timeline between bug finding and exploits. And Microsoft isn’t immune.

Tech sector hiring and job losses vary as organizations use different measurement techniques to gauge the overall hiring ...

Apple continues work to get White House go-ahead to source memory from Chinese supplier CXMT, which the US government has placed restrictions on. For Apple, the issue comes down to simple math. With ...

A study of nearly 150,000 real-world agent actions found AI increasingly handling low-risk IT tasks while human analysts iteratively shape and improve their actions. The company was testing how well ...

As Europe swelters in a heatwave, residents probably don’t want to hear about ways to make their homes even hotter, but ...

Bending Spoons has built its portfolio by buying once-successful companies like Airtable that have struggled to cope with ...

Wispr Flow Notetaker enters a competitive market for note-taking apps, including Fireflies, Granola, and Otter.

Demis Hassabis, the driving force behind Google DeepMind, is ascending to the role of chief scientist at Alphabet, Google’s ...

Cloudflare OS brings AI workspaces, zero-trust access, governed connectors, model routing, and enterprise data together in ...