Saturday, March 7, 2026

A Strange Lake Morning


7:50

8:34

It's 8:30, and I've been up for an hour watching the wind sweep fog across the lake's surface. The sun is out, and patches of blue sky hang over the water on a crisp 59° morning. When I walked out onto the porch to take a photo, there was something pleasantly disorienting about feeling the sun's warmth. I could get used to it. So far, no fishing tents have appeared on the lake — though at 8:45, two men just walked out from Long Point to try their luck. Good luck to them.

Friday turned out to be a humbling day. It began as usual: up early, reading the papers, writing the blog, having breakfast. My friend Ron had been trying to get me to play pickleball, and while I had played a couple of times two years ago, I'd been resisting. Yesterday, I finally gave in to his entreaties. We played in the old Mayville High School gym, and it was a disaster. I played like someone who had never touched a racquet — which is hard to explain, given that I played quite a bit of tennis and racquetball during my teaching years. The other players were gracious and kind, generous enough to overlook my whiffs and doddering attempts at a dink shot near the net. It was a lesson in humility, one I apparently needed. I'll probably go back — a glutton for punishment.

Pickle Ball

I was home by 11:30, and Evie got a good laugh out of my attempts to describe the debacle. She then left for a blood test in Westfield, leaving me alone for an hour to enjoy the last half of my Wegmans sub and watch a new series on TV — the name of which I've already forgotten. Evie was back by 1:30, having stopped at Tops to pick up a few things for dinner.

Cloudy at 1:45

Blue Skies At 4:30

A Fisherman And His Four Wheeler

The rest of the afternoon passed quickly, as it usually does. We fell into our familiar rhythms — reading in the living room, watching TV, and a nap for me. Around 4:00, I went out for a twenty-minute walk through the neighborhood, savoring the rare pleasure of warm weather. We had our wine at 5:00 and caught the news. Around 6:15, Evie made a tasty stir-fry with cabbage and ground beef and a salad. We watched an episode of The Pitt, then Landman, before Evie headed up to bed. I stayed up for the first half of my alma mater, Ohio University, playing undefeated Miami University. This morning I learned that Miami won their 31st straight — in overtime, 110–108.


 Here are the 40 jobs Microsoft found most likely to be diminished or heavily affected by AI:

  1. Interpreters and translators

  2. Historians

  3. Passenger attendants

  4. Sales representatives (services)

  5. Writers and authors

  6. Customer service representatives

  7. CNC tool programmers

  8. Telephone operators

  9. Ticket agents and travel clerks

  10. Broadcast announcers and radio DJs

  11. Brokerage clerks

  12. Farm and home management educators

  13. Telemarketers

  14. Concierges

  15. Political scientists

  16. News analysts, reporters, journalists

  17. Mathematicians

  18. Technical writers

  19. Proofreaders and copy markers

  20. Hosts and hostesses

  21. Editors

  22. Business teachers (postsecondary)

  23. Public relations specialists

  24. Demonstrators and product promoters

  25. Advertising sales agents

  26. New accounts clerks

  27. Statistical assistants

  28. Counter and rental clerks

  29. Data scientists

  30. Personal financial advisors

  31. Archivists

  32. Economics teachers (postsecondary)

  33. Web developers

  34. Management analysts

  35. Geographers

  36. Models

  37. Market research analysts

  38. Public safety telecommunicators

  39. Switchboard operators

  40. Library science teachers (postsecondary)

Important point

Microsoft emphasized that AI usually won’t eliminate entire jobs, but it can replace or automate many of the tasks within them—especially jobs involving:

  • writing

  • research

  • summarizing information

  • customer communication

  • routine digital work.

By contrast, hands-on jobs requiring physical work or direct human care (like nursing aides, construction workers, and mechanics) were found to be much less vulnerable to AI right now.


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