Microsoft recently laid off about 3% of its workforce — some 6,000 people. A big chunk of those were reportedly software engineers, aka coders.

The short answer: investment deals.

Researchers at Johns Hopkins University tested several AI models’ ability to interpret how humans were interacting with each other in short videos and found they were largely unable to consistently describe what was happening. Leyla Isik, professor of cognitive science at Johns Hopkins University and senior scientist of the study, explains what their findings could mean for the future of AI development.

Uncertainty over tariffs and a wider economic downturn are forcing investors to be more cautious.

Home Depot and Lowe’s are using chatbots to mimic in-store help, but that’s still a work in progress.

New text-to-image generative AI tools raise ethical and economic questions for working artists. But some see new business opportunities.

The profusion and popularity of free, open-source models has raised questions about how AI companies can actually profit from their products.

The once-leading voice assistants have fallen behind other AI tools, but upcoming revamps could make them more useful.

Some in Silicon Valley are pushing for quick advances in artificial intelligence and downplaying the risks.

Expect to see spots about things like AI agents and eyewear.