The last 48 hours have been a wild rollercoaster ride for AI hardware. On Tuesday, Google ended its I/O keynote — a roughly two-hour event with copious references to AI — with its vision for Android XR glasses. That included flashy partnerships with Gentle Monster and Warby Parker, as well as the first hands-on opportunity with its prototype glasses for the developers and the majority of tech media alike. On the ground, it was among the buzziest things to come out of Google I/O — a glimpse of what Big Tech thinks is the winning AI hardware formula.
Buy-now-pay-later company Klarna featured the AI version of CEO and co-founder Sebastian Siemiatkowski in an 83-second video about its Q1 2025 results, as reported by TechCrunch. The video’s description says that his “AI avatar” is presenting the results, and the AI avatar kicks off the video by saying that “it’s me, or rather, my AI avatar.”
In 1980 IBM, under pressure from its customers to provide computers for personal use, not just mainframes, set out to create the IBM PC; given the project’s low internal priority but high external demand they decided to outsource two critical components: Microsoft would provide the DOS operating system, which would run on the Intel 8088 processor.
Welcome to IEEE Spectrum’s 11th annual rankings of the most popular programming languages. As always, we combine multiple metrics from different sources to create three meta rankings. The “Spectrum” ranking is weighted towards the profile of the typical IEEE member, the “Trending” ranking seeks to spot languages that are in the zeitgeist, and the “Jobs” ranking measures what employers are looking for.
In our goal of trying to estimate a programming language’s popularity, we realized that no one can look over the shoulder of every person writing code, whether that be a child writing a Java script for a personal Minecraft server, a mobile app developer hoping to hit it big, or an aerospace engineer writing mission-critical code for a voyage to Mars. Our Top Programming Languages interactive tries to tackle the problem of estimating a language’s popularity by looking for proxy signals.
Artificial intelligence still can’t beat a human when it comes to programming. But it’s only a matter of time.