In the Loop: Week Ending 6/28/25
Last Week in AI: Apple, Jobs & Environment Last week, the scale of AI progress was matched only by the scale of questions it raised. Apple and Meta ma...
I’m 2/3 of the way through my 6-week MIT Sloan online course on developing an AI business strategy, so it seemed like a good time to step back and reflect on what I’m learning. I’ll start with some definitions and a bit of history. Future posts will be on some specific uses of AI in strategy and business.
First, a few basic definitions. There are lots of words and phrases being used that, frankly, I didn’t fully understand before this course. Here are a few that have helped me:
If you’re a Benedict Cumberbatch fan, you may already know something about AI. In the 2014 movie “The Imitation Game,” Cumberbatch plays Alan Turing, considered by many to be the father of modern AI. His “Turing Test” is a “test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.” The fact that he developed the test in 1950, almost 75 years ago, was very surprising to me.
This isn’t the first AI hype cycle. My social feeds (probably like yours) are stuffed with AI tips, predictions and doomsaying. The hype train is running hot, but this isn’t the first time AI has generated intense periods of interest. Similar cycles happened in the 1970s and 1980s, and both were followed by so-called AI Winters, when interest and funding dried up. Who knows if the same will happen this time, but cutting through the hype and getting a better understanding of what’s possible with AI was one of the main reasons I wanted to take this course.
Additional resources I found helpful:
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