
Microsoft Research Focus – Edition #98
Microsoft's latest research roundup is mostly quiet incremental work, but one finding on coding agents shows where the real cost of AI assistance is hiding.
Desk
Microsoft AI products, Azure, and Copilot.

Microsoft's latest research roundup is mostly quiet incremental work, but one finding on coding agents shows where the real cost of AI assistance is hiding.

Nebius wants to spend $40 billion next year mostly on its customers' money, and the stalled New Jersey site shows how quickly that kind of financing can get shaky.

Jensen Huang is out, and the more telling move may be the one Nvidia made alongside it: for the first time in its history, the company now has a board chair.

Microsoft's Lazarus research shows a model can be backdoored by editing a handful of neurons, no training required, which makes the integrity of model weights a frontline security problem for every agent with a terminal.

About 100 protesters entered a Microsoft data-center construction site in Amsterdam, scaled a crane, and joined a widening European and U.S. backlash against AI infrastructure.

Microsoft Research's PDD Kit turns intent into Verus specs so agent-written Rust — including a Pet Store login — is proved for every input, with tests only where proofs cannot reach.

Amazon, Microsoft, Alphabet, and Meta just told Wall Street they will keep pouring hundreds of billions into AI infra even as returns stay murky — and midterm politics may be the only brake in sight.

A former DARPA hacking-contest lead says AI has broken the old math of cyberattacks, and his point about trust is the part security teams should hear.

One shared opt-out for AI training is a real win for publishers, but it still asks the web to say no rather than asking AI companies to ask first.

Microsoft is testing Copilot against fake companies built from public data, a smart answer to the privacy problem that still leaves open whether fake offices behave like real ones.

Wikipedia's nonprofit steps into the Times-versus-OpenAI fight with a middle path we find persuasive: training can be fair use, but handing readers a substitute for the original shouldn't be.

Microsoft's latest research roundup is quietly about one thing: making agents cheaper, more honest about their failures, and useful outside the demo, from codebases to classrooms to monsoon forecasts.