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Comment Why do I feel so helpless... (Score 1) 56

30 years ago, I thought I had lost my mind the first time I asked someone to take a picture with their phone. I still remember how weird those words felt in my mouth. And then 10 years ago, I saw a new-in-the-box sewing machine with "Runs Windows!" plastered on the side. I thought then I had truly lost my mind. Were there device drivers for sewing machines baked into windows? Should I search for my windows directory for "bobbin.dll"?

But today is a new day, when my toothbrush runs windows and my roomba is a supercomputer. I buttered my toast with a smart-knife this morning but it blue-screened half-way through. I got a half-buttered slice instead. My smart-pillows have started to whisper advertising into my ears in the middle of the night. My smart-toilet is measuring my poop, and when it blue-screened a couple of weeks ago, well, I won't disgust you with the details.

Why do I feel so helpless when I'm surrounded by so much "smart" ?

Comment I agree... (Score 3, Interesting) 86

I agree that migrations to on-prem will happen - some already have and I read about one every couple of weeks. But I was thinking about another similarity to the mainframe environment recently. Back in 1980, when I first wrote Cobol on a mainframe, we'd submit our compile/link/run jobs, and wait for the printout with the results. Since this was a college environment, that wait was often a couple of hours, unless it was the end of a semester, in which case you may have to wait until the next day.

All my work is in the cloud these days, usually involving AWS services such as API Gateway, Lambda, DynamoDB, etc. I do consulting work for large corporations, and they usually have a build pipline. So when I'm working on code, I get compiler or linter errors locally, but then I have to give my code to the pipeline and let it build and deploy it. The wait is usually 15 to 30 minutes, but it can be longer if the pipeline has insufficient resources. I've waited hours for a deployment to complete on on occasion.

In the hey-days of the 90's and early 2000's, most things ran on your local workstation, which was a low-latency heaven. Unfortunately, I fear we've come full circle!

Comment Pressurization Warnings Are Important (Score 0) 49

This inspection idea is good, but here's another one: Check all Boeing planes that have issued a pressurization warning in the last year or two, since the only thing Alaska Airlines did when the warning buzzer went off was reset the buzzer and tell the crew the plane was good to go, as long as it didn't fly over water. If they've been doing that as a matter of course, it makes sense to pull any planes that issued such a warning out of service until they can be checked.

Comment From $30 to $200 (Score 1) 155

In 2000, I remember reading about the disasterous consequences of the merger that had occurred a few years earlier. The author lamented the exit of highly skilled engineers and tradespeople as the business people squeezed out the technical people, and outsourcing became the norm. In 2010, I met a young man in a nearby pub who told me his grandfather left him a bunch of Boeing stock. I suggested he move into a different stock since the writing was on the wall for Boeing - and he ignored my advice. As I look at the stock price history of Boeing this morning, it seems to have risen from about $30 in 2000 to about $200 today, with a peak in 2019 of over $400. I don't really have a point, but that sure looks like a great return, despite their sloppy execution. Oh wait, I do have a point: Don't take stock advice from a well-meaning rando in a pub.

Comment Same as People? (Score 3, Insightful) 26

"...to perform their own due diligence and quality assurance to validate the "accuracy and completeness" of the chatbot's output before using it for work"

Isn't that the same way we treat our colleagues? Sure, we trust they're giving us correct info, but occasionally we find out they didn't, and it's our fault for not checking with more sources.

I don't see how this chatbot is different. Folks are going to have to verify anything that sounds fishy, whether it comes from a chatbot or a blood-bot. Compare those, and we have something to talk about.

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