New Microsoft Copilot update brings deeper enterprise AI integration - Digital Watch Observatory
New Microsoft Copilot update brings deeper enterprise AI integration Digital Watch Observatory
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Someone Poisoned npm’s Most Popular HTTP Library. It Took Three Hours to Notice.
I have axios in 11 projects. I checked. At 12:21 AM UTC on March 31, 2026, someone published version 1.14.1 of axios to npm — the HTTP client that lives inside an estimated 83 million JavaScript projects. I use it in production APIs, internal tools, side projects. It’s the kind of dependency you stop thinking about. You installed it once, it works, you move on. The new version looked normal. Same API. Same tests. One small addition to package.json: a dependency on a package called plain-crypto-js. Nobody asked for it. Nobody noticed. And for three hours, every developer who ran npm install on a project using axios pulled a remote access trojan onto their machine. I wasn’t one of them. But when I traced back my install logs that morning, the margin was uncomfortably thin. Here’s the thing a
Engineering Fully Dynamic Convex Hulls
arXiv:2604.00271v1 Announce Type: cross Abstract: We present a new fully dynamic algorithm for maintaining convex hulls under insertions and deletions while supporting geometric queries. Our approach combines the logarithmic method with a deletion-only convex hull data structure, achieving amortised update times of $O(\log n \log \log n)$ and query times of $O(\log^2 n)$. We provide a robust and non-trivial implementation that supports point-location queries, a challenging and non-decomposable class of convex hull queries. We evaluate our implementation against the state of the art, including a new naive baseline that rebuilds the convex hull whenever an update affects it. On hulls that include polynomially many data points (e.g. $\Theta(n^\varepsilon)$ for some $\varepsilon$), such as the
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