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Cake day: August 9th, 2023

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  • I went to a technical college that had a police training program. Technical colleges sometimes have the reputation of being glorified high schools. That’s mostly unfair, but there were three guys in some of my classes who were determined to make it that way. Give you one guess as to what program they were in.

    I wouldn’t trust those three to be security guards at a shopping mall.



  • frezik@midwest.socialtoTechnology@lemmy.world*Permanently Deleted*
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    3 days ago

    Large corporations are allergic to capital expenditures. That is, they don’t like investing in new things to make the business run. They want their previous investment to run as long as possible. On occasion, the workers will arrange big projects to be covered as “maintenance” rather than capital expenditures.

    Oil companies have invested in oil pumps and refineries. They could invest in all sorts of other things, but that’s less money in the hands of shareholders. That’s all there is to it. Money spent on new investments isn’t making them richer right now.




  • You do these things to setup solidarity and organize. Want a general strike? It starts by getting lots of people to come out and protest. Then, people see that there are other people who will join them in a general strike. You can’t start by randomly calling one. Each individual person will see that they’re taking a risk of losing their job, and that risk can only be justified if everyone else is doing the same thing. Can’t fire all of us. If the organizers of the same protests you’ve been going to are saying we should all participate in a general strike, then individuals are assured they won’t be sticking their own head out there only for it to get hit by a truncheon.

    Replace “general strike” with whatever sort of large scale action you’d prefer.




  • frezik@midwest.socialtoLemmy Shitpost@lemmy.worldIn heat
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    5 days ago

    We all know how AI has made things worse, but here’s some context on how it’s outright backwards.

    Early search engines had a context problem. To use an example from “Halt and Catch Fire”, if you search for “Texas Cowboy”, do you mean the guys on horseback driving a herd of cows, or do you mean the football team? If you search for “Dallas Cowboys”, should that bias the results towards a different answer? Early, naive search engines gave bad results for cases like that. Spat out whatever keywords happen to hit the most.

    Sometimes, it was really bad. In high school, I was showing a history teacher how to use search engines, and he searched for “China golden age”. All results were asian porn. I think we were using Yahoo.

    AltaVista largely solved the context problem. We joke about its bad results now, but it was one of the better search engines before Google PageRank.

    Now we have AI unsolving the problem.






  • On the contrary, this is pretty close to what we have right now. Companies don’t like to spend much on R&D once they’re out of the startup phase. A good chunk of that startup phase R&D was actually taking place at a university with public funds. This is especially true of pharmaceuticals. So the answer to the question of “when does it get handed off to private industry?” is to just look at what’s happening already.

    The exception is big monopolies. AT&T’s Bell Labs is a legendary R&D department. IBM, Microsoft, and Google all likewise have significant pure R&D going on, and even engineers who don’t like those companies salivate at the opportunity to work in that capacity for them.

    But then you’ve got big monopolies on your hands, and that’s a whole other problem.