hissing meerkat

No, terrible record keeping is exactly what caused this, according to the anonymous whistleblower: warranty work on the door was performed without any records being created for it due to boeing keeping two record keeping systems, one that was the system of record and one that was used as visibility for management.

No, the NTSB said that Boeing hadn’t provided them with the records, not that orders for the reinstallation hadn’t been made. Boeing is now trying to blame the lack of records to follow-up on on employees, even though none of the work should have been possible without the records existing in the first place.

Boeing absolutely shouldn’t be trying to get out ahead of the NTSB investigation with their own deflecting interpretation of what the NTSB has uncovered and shared with Boeing, which is probably along the lines of the anonymous whistleblower from a few months ago who detailed failings in the record keeping process before the senate hearings revealed that Boeing hadn’t provided the NTSB with the records (which according to the anonymous whistleblower didn’t exist because they were never created)

New?! This is the original area in which China excelled at producing electric vehicles. London’s early electric buses were European licensed production of BYD buses (or more likely BYD licensed powertrains)

Is China even allowing electric buses to be exported yet? The last time I looked it was still going to take over a decade to replace all the buses in China, but a chunk of a decade has passed since then.

There’s an old report from New York City putting the value of an electric bus at about $1.2 million, mostly the health benefits from no emissions not fuel savings. At the time there was no way for New York City to buy them because there’s no way to fund transit out of healthcare when the state pays for one but not the other, there were no non-Chinese manufacturers, and then shortly after they couldn’t compete with London that valued an electric bus at £1.7 million if I remember correctly, and the UK could justify funding buses based on healthcare. I think those first buses were about €600k. At the same time kneeling electric transit buses in China were about $90k, and small electric buses were $30-$40k.

This is the Biden administration. On immigration the US is now more xenophobic than the Republican primary between Reagan and Bush in 1980.

Before you drive up to Minneapolis, there’s nothing to do there either. Walk/bike along/over the river is probably the best thing, and you can do that in Rochester too.

Based on what they’ve done in the past, they’re going to write it off on their taxes when though the titles aren’t even games that they own.

In terms of abilities, there’s problems other people can solve that I never will even with years of study and training, and there are problems I can solve that my immediate peers never would, even with years of study and training.

In terms off knowledge, everybody you meet knows something you don’t. (They might not have the ability to help you find what it is though)

In terms of skills, behaviors it seems like nobody ever considers trying and finding out for themselves, which is endemic across all levels of academia, government, business, and profession, and in that matter they are all as dumb as a bunch of rocks.

The USPS board of governors has 11 seats.

• 2 are held by the postmaster general and deputy elected by the board (Louis DeJoy and Douglas Tulino)
• 2 are remaining Trump appointees
• 5 are Biden appointees
• 2 are vacant

Biden appointees already control the board and Biden could appoint 2 more

Thanks. I’d never thought of an office surplus store.

Edit: The office surplus store here had 2 identical unremarkable shoddy used chairs for new shoddy chair price.

I have the bottom half of an unpleasantly upholstered office chair that I pulled out of a dumpster a quarter century ago. I would not recommend it, but it’s better than the loose crap I find every time I go chair shopping.

Universal basic income and universal healthcare so I (and everybody else) don’t have to worry about a job, being able to work, retirement, disability, and employers will have to offer meaning, increased quality of life, and actual respect to attract employees.

Whether or not you use downvotes doesn’t really matter.

If what you like is well represented by the Boba drinkers and the Boba drinkers disproportionally don’t like Cofee then Cofee will be disproportionally excluded from the top of your results. Unless you explore deeper the Cofee results will be pushed to the bottom of your results. And any that happen to come to the top will have arrived there from broad appeal and will have very little contribution to thinking you like Cofee.

If you don’t let the math effectively push things away that are disliked by the people who like similar things as you then everything will saturate at maximum appeal and the whole system does nothing.

There’s two problems. The first is that those other things you might like will be rated lower than things you appear to certainly like. That’s the “easy” problem and has solutions where a learning agent is forced to prefer exploring new options over sticking to preferences to some degree, but becomes difficult when you no longer know what is explored or unexplored due to some abstraction like dimension reduction or some practical limitation like a human can’t explore all of Lemmy like a robot in a maze.

The second is that you might have preferences that other people who like the same things you’ve already indicated a taste for tend to dislike. For example there may be other people who like both Boba and Cofee but people who like one or the other tend to dislike the other. If you happen to encounter Boba first then Cofee will be predicted to be disliked based on the overall preferences of people who agree with your Boba preference.

No, not as simply as that. That’s the basic idea of recommendation systems that were common in the 1990s. The algorithm requires a tremendous amount of dimensionality reduction to work at scale. In that simple description it would need a trillion weights to compare the preferences of a million users to a million other users. If you reduce it to some standard 100-1000ish dimensions of preference it becomes feasible, but at the low end only contains about as much information as your own choices about subscribed to or blocked communities (obviously it has a much lower barrier of entry).

There’s another important aspect of learning that the simple description leaves out, which is exploration. It will quickly start showing you things you reliably like, but won’t experiment with things it doesn’t know you’d like or not to find out.

Carbon Catch and Release

“quickly”. The report listing that it was being removed came out 15 months ago.

Phone assistants responding to you in the same volume of voice you used to address them.

Just CNN Turk: İsrail Polisinin Zulmüne Uğrayan Gazetecinin Sağlık Durumu Nasıl? CNN TÜRK Ekibi Aktardı

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