
A week ago I knocked my phone – a Google Pixel 8 Pro – off the table and watched helplessly as it bounced awkwardly onto the stone floor of our favorite restaurant. After retrieving it I noticed a splotch of dead pixels in the top right corner. This was a new phenomenon – I was expecting a cracked screen. But the display sported what looked like a deep bruise. Over the next few days, the black spot spread slowly toward the phone’s front facing camera. By midweek, the Pixel’s light sensor was enthusiastically involved, and my phone was rendered unusable.
I live on an island, so a quick repair or replacement is not an option. That’s why I keep my old phones in stock – it can take up to three weeks for a FedEx or UPS shipment to find its way to my home. I ordered up a replacement online (I settled on the Pixel 10, as the new 11 is on backorder for more than a month), fired up an old Pixel 6, and popped in my SIM.
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Capture.

As generative AI reaches a fever pitch of investment, product releases, and hype, most of us have ignored a profound flaw as we march relentlessly toward The Next Big Thing. Our most dominant AI products and services (those from OpenAI, Google, and Microsoft, for example) are deployed in the cloud via a “
