Bus production would be an entire refactoring of an auto factory. Tons of equipment would need to move around, electrical conduit would need to be re-run to different places, much of the existing equipment would be too small. The equipment would need to be ordered from suppliers who already have the next couple months to years of business booked, new suppliers sourced and contracts signed, etc. On an American timeline, I can't imagine it being done in under a year if you threw money at every problem aggressively.

We did change some auto plants to manufacturing airplanes and airplane components for WWII, but there was a lot more human labor involved, manufacturing tolerances were more loose, and we had widespread support of the American public to do what we needed to make things happen. It'd be incredible to see the War Powers Act implemented to publicly fund bus transportation, but I cannot fathom that occurring with this administration.

Calculator hasn't been infiltrated by Copilot yet, but I'm sure the day is coming.

The old trick years ago was to translate from English to different language and back (possibly repeating). I'd be curious how helpful it is against stylometry detection?

It worked one of two ways, I'm not positive which.

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You stared with musical note C. One note could be played at a time. G would go down a half note, H up a half note. F down a whole note, J up a whole note. Repeatedly pressing G would go down the chromatic scale. Playing a Diatonic scale up would be a combination of pressing H and J.

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Pretend the keyboard letter G is the base note, mapped to C in music. F would give a half note lower, H a half note higher, and so on across the home row of the keyboard. Then you could adjust the base note (perhaps T to go down a half note, Y to go up a half note).

In essence, you could transpose a song from the key of C to D by doing a modifier, and your fingers could complete the exact same sequence. In a jazz application, something on Spiral Synth like "FSA, GDS, HFD, K" might have been

I loved going up Mauna Kea visitor center and stargazing. At ~11,000 feet, it's one of the best places in the world for naked eye stargazing. You're literally above the clouds, the island has strict rules about exterior lights at night to minimize light pollution, and you're above the thickest air. I wasn't expecting to see the Milky Way so easily.

https://en.wikipedia.org/wiki/Milky_Way#/media/File:Milky_Wa...

Their point was that service levels are often not as stringently tracked, SLA's become internal money shuffling, but the company as a whole paid the price in lower output/profit. The internal partner being the default allows an amount of complacency, and if you shopped around for a comparable level of service to what's being provided, you can often find it for a better price.

In 2013 my statistics professor warned that once we are in the real world, "people will come up to you trying to sell fancy machine learning models for big money, though the simple truth is that many problems can be solved better by applying straightforward statistical methods".

There has always been the ML hype, but the last couple years are a whole different level.

What is the lay of the land for typical consumers in this respect? Any products you've worked with or would recommend?

I've recently started with Home Assistant and have been adding devices to my single network. The ISP provided eero modem/router doesn't provide VLAN capability.

The lunch room was quite loud. To keep people from being in their own world on their phones too much, my lunch table had a rule that if you laugh out loud at something on your phone, you had to share it with the table. It was quite effective, though somewhat embarrassing from time to time.

For September, $12.31 of my $27.01 gas bill was variable based on my consumption.

In December, $84.82 out of my $99.65 total was consumption driven.

I've run numbers on whether it'd make financial sense to go electric for heating, and the break even point is in the 30-40 degree vicinity. With temperatures 20 and under a healthy chunk of the year, unfortunately the added expense doesn't make financial sense.

I went to a panel discussion at a conference last year. Operations managers agreed labor was their biggest challenge. The manager for the promotional materials company who was probably around 60 discussed how he has loosened up a bit the last ~15 years. If someone sends a couple texts and it slightly impacts the units they (personally) do per hour, it was better than being super strict and losing employees. He had to adapt because the mentality was far different than when he started in the workforce.

April 2025 interview: https://podcasts.apple.com/us/podcast/some-of-americas-most-...

August 2025 interview (after BLS head statistician was fired): https://podcasts.apple.com/us/podcast/bill-beach-on-how-trum...

Some notes and a transcript: https://www.crisesnotes.com/bloomberg-odd-lots-podcast-trans...

A few notes from an interview on the Odd Lots podcast, interviewing Bill Beach, former head of the BLS:

* Response rates among surveyed employees are roughly:

Month 1 68%

Month 2 83%

Month 3 93-94%

* Large employers tend to respond sooner, and are staffed to handle these requests better.

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April 2025 interview: https://podcasts.apple.com/us/podcast/some-of-americas-most-...

August 2025 interview (after BLS head statistician was fired): https://podcasts.apple.com/us/podcast/bill-beach-on-how-trum...

Some notes and a transcript: https://www.crisesnotes.com/bloomberg-odd-lots-podcast-trans...

The blue is sufficient but not necessary for the animal to be impacted by the poison. It is a very vibrant blue though, and anyone would be concerned if they opened an animal and saw that.

I'm not sure whether there is digitized data for railroad performance from the era, but it seemed like it'd be a neat dataset to assemble and research.

https://www.abebooks.com/first-edition/Poors-1925-Railroad-S...