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The morning surprise, captured in photo. How are you on this fine spring morning?

"Why Gas Bills Are Going Crazy—With No End in Sight" a story in the WSJ that describes causes and effects of increased natural gas price fluctuation. Causes are many, effects are widespread and feed inflation. The most interesting thing to me are the reader comments. Around 770 comments: usually we only see that many comments on social/cultural issues. Here, it is tons of "well actually" splaining, plus weaving politics and cultural tropes into the discussion. A typical comment begins "Answer is quite simple." then veers off into political accusation. Fortunately, I did not see Godwin's Law in play (yet).

I don't get why K means clustering. Is it because in some other language it has a different spelling, such as kluster? Though I have to admit this is no more puzzling than have K mean Potassium.

Pi Day has devolved into promotions for Raspberry PI products. 😞

Left, Helen of Troy, the face that launched 10,000 ships.

Right, the face that lost 10,000 jobs.

The fascinating thing about SVB (or is it SIVB) is how various people interpret events and factors. Some possibly contributory factors are seen as favorable or unfavorable depending on the commentator. Maybe finance is a complex system and significant events happen for a multitude of reasons, a bit like a perfect storm.

Ted Herman boosted

Generative AI, such as ChatGPT, may be better viewed as putting together hypotheses, where testing either leads to corroboration or truthiness.

> The glitch seems to be a linear consequence of the fact that so-called Large-Language Models are about predicting what _sounds right_, based on its huge data sets. As a commenter put it in an already-months-old post about the fake citations problem: “It’s a language model, and not a knowledge model.”

> In other words, this is an application for _sounding like an expert_, not for _being an expert_ — which is just so, so emblematic of our whole moment, right? Instead of an engine of reliable knowledge, Silicon Valley has unleashed something that gives everyone the power to fake it like Elizabeth Holmes.

"We Asked ChatGPT About Art Theory. It Led Us Down a Rabbit Hole So Perplexing We Had to Ask Hal Foster for a Reality Check" | Ben Davis | March 2, 2023 at news-artnet-com.cdn.ampproject

@jacobsimmering Here is a story I haven't shared. In the late 1970s I had a job doing custom software installations on IBM mainframes. I had to go to the customer's mainframe and tinker with our software so it would install correctly. So there was a steel mill in Gary Indiana where I had to go. This was back in the day when America still had a lot of manufacturing, steel foundries, and so forth, and before there were laws about curbing pollution. For some reason, I was in Indianapolis at the time, rented a car and drove to the site. As I approached Gary, the sky started turning dark, but not because of a storm. The pollution was so thick, it was just normal. Quite striking and amazing. People who now take things for granted just don't realize how bad it was back then -- excepting current residents of Beijing or Delhi, who now experience similar. Oh, and when I arrived at the mill, I had to wear a hardhat and follow a very specific road to get to the computer room. I later learned that doing inventory in such places can be tricky - like when steel is molten, it becomes hard to track inputs along the manufacturing process.

@jacobsimmering "In fact, a well-supported theory holds that publicly traded transportation businesses are especially welcoming of safety regulation because it shifts responsibility for accidents—and the storms that follow—to government." wsj.com/articles/why-rail-is-s

@paul Radio 4's Start the Week this time with Martin Wolf & Bernie Sanders.

@mimsical What I don't get is why prompt engineering can't be automated or at least made easy. "PromptBase is a marketplace to buy and sell prompts." And what kind of training is needed to become a prompt engineer?

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