My recent column on Apple’s declining software quality hit a nerve. So why do any of us put up with software that grows increasingly buggy? One word: hardware.
Microsoft gave it a try in 1999 and failed. The same tantalizing possibility returns every few years: a single place to communicate rather than an ever-expanding cacophony of apps, each with its own quirks. Are we any closer to this hope a quarter century later?
Some level of mainstream machine learning has been present in the lives of ordinary folks like you and me since iPhoto first did facial recognition well over a decade ago. Other AI or AI-like tech has become increasingly pervasive, but quite limited. Now, a flood of “experience this now” machine learning is drowning out past years’ “imagine if this were just a bit better” tech. Two tools to utilize such tech are worth your attention right now.