Two flaws in Cursor, an AI code editor, could let a single, ordinary-looking prompt break out of the editor’s safety sandbox and run any command on a developer’s computer. There is no click to fall for and no approval box to ignore.

Cato AI Labs found the pair and named them DuneSlide. They are tracked as CVE-2026–50548 and CVE-2026–50549, both rated 9.8 out of 10 (or 9.3 under the newer CVSS 4.0 scale).

The fix is already out. Both bugs are patched in Cursor 3.0, released April 2, and every version before 3.0 is affected. Cursor’s maker says more than half the Fortune 500 use the tool, so if you run it, update now.

Deep learning shows the strong intra-person similarity of fingerprints, defying conventional assumptions.

Researchers at the University of North Carolina at Chapel Hill have found that while artificial intelligence can spin increasingly convincing stories, its characters may still lack one of the qualities that make human-written fiction memorable: mystery.

As AI writing tools become more common in publishing and entertainment, Carolina researchers wanted to understand whether the characters created by these systems are as varied and nuanced as those crafted by human authors. Their findings suggest that, despite advances in technology, AI still tends to rely on familiar patterns.

The study examined how characters in stories generated by AI compare with those written by people. Drawing on ideas from literary theory, the researchers analyzed eight different aspects of character portrayal, including whether characters seem realistic or exaggerated, whether they evolve over time, and whether they remain mysterious or fully understood by the end of a story.

Human-AI relationships are no longer confined to the domain of science fiction. As the technology has developed, AI chatbots have evolved from playing a role in search engines and image-generation tools into confidants, therapists and even romantic partners. It’s a radical evolution of human-AI interactions that brings with it new risks in how it is reshaping the way we think and talk about relationships, including with ourselves, finds new research published in the journal Nature Machine Intelligence.

Prolonged interaction with AI chatbots can lead people to develop an emotional dependence on the technology, potentially alienating them from human relationships, said Andreia Sofia Teixeira, an associate professor at Northeastern University London in the Network Science Institute who co-authored the recent work. As a growing number of lawsuits claim chatbots’ role in people’s deaths, the new research underscores how being caught in an echo chamber with a sycophantic tool can potentially spell disaster for the most vulnerable.

“The problem is less about AI performance and much more about the impact of these sustained interactions on ourselves … and how, over time, this may impact society at large,” Teixeira said.