I’m a regular watcher of Last Week Tonight with John Oliver, so in February I was looking forward to his take on “AI“ and the large language models and image generators that many people have been getting excited about lately. I was not disappointed: Oliver heaped a lot of much-deserved criticism on these technologies, particularly for the ways they replicate prejudice and are overhyped by their developers.

Viewers of the Crown may have noticed a brief scene where Prince Charles practices Welsh by sitting in a glass cubicle wearing a headset.  Some viewers may recognize that as a language lab. Some may have even used language labs themselves. The core of the language lab technique is language drills, which are based on the bedrock of all skills training: mimicry, feedback and repetition.

The big buzz over the past few years has been Data Science. Corporations are opening Data Science departments and staffing them with PhDs, and universities have started Data Science programs to sell credentials for these jobs. As a linguist I’m particularly interested in this new field, because it includes research practices that I’ve been using for years, like corpus linguistics and natural language processing.

Scene: a quietly bustling bistro in Paris’s 14th Arrondissement. SERVER: Oui, vous désirez? PIXELBUDS: Yes, you desire? TOURIST: Um, yeah, I’ll have the steak frites. PIXELBUDS: UM, OUAIS, JE VAIS AVOIR LES FRITES DE STEAK SERVER: Que les frites? PIXELBUDS: Than fries? TOURIST: No, at the same time. PIXELBUDS: NON, EN MEME TEMPS SERVER: Alors, vous voulez le steak aussi? PIXELBUDS: DESOLE, JE N’AI PAS COMPRIS.

At the beginning of June I participated in the Trees Count Data Jam, experimenting with the results of the census of New York City street trees begun by the Parks Department in 2015. I had seen a beta version of the map tool created by the Parks Department’s data team that included images of the trees pulled from the Google Street View database. Those images reminded me of others I had seen in the @everylotnyc twitter feed.

When I first taught phonetic transcription, almost seven years ago, I taught it almost the same way I had learned it twenty-five years ago. Today, the way I teach it is radically different. The story of the change is actually two stories intertwined. One is a story of how I’ve adopted my teaching to the radical changes in technology that occurred in the previous eighteen years.

I bought a nice little tablet at BestBuy, and I wanted to use it to test an Android app I’m developing. In order to do that, I have to connect the tablet to my Windows laptop and run something called ADB. Unfortunately, in order for ADB to connect to it, Windows needs to recognize it as an ADB device, and BestBuy hasn’t done the work to support that.