• 2 Posts
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Joined 3 years ago
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Cake day: June 19th, 2023

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  • But it’s also actually a good point. There are a lot of namely European brands that have been outsourcing production out of Europe.

    Should I boycott McDonald’s by not buying hamburgers made with (hopefully) meat that was sourced, prepared and cooked in Europe by local workers and then buy Prada bags manufactured in China?

    With modern companies it’s so hard!

    Right now I prefer to boycott McDonald’s more for the political message it sends than careful analysis of where the money flows: if enough people stop going to McDonald’s it’s easy to draw a line between “US administration starting trade wars” to “iconic US brands sales in Europe drop”, but it’s not like McDonald’s is inherently more evil than some big European brands.


  • I tried researching this a bit and you are right that it’s not a Comaps-specific issue but more with the general OSM ecosystem.

    It seems to be a chicken-and-egg situation in the sense that there are ways to tag temporary closures but they are not recommended for short-lived data because many apps use data offline and have long update cycles.

    I’m referring to this bit in the page on key:construction

    As OSM data is often used offline (and therefore may be several months old), only tag construction sites (particularly roads and railroads) if they are planned to be closed for at least six to nine months.

    There is some work being done at Google Summer of Code 2025 to add road closures and more real-time events that might impact navigation. I’m looking forward to see if it pans out.


  • I think having delayed updates to maps is worse though.

    For one it can create duplicates, as multiple people try adding rhe same shop. I didn’t know that was the reason but I did find some shops I had added that had been also mapped by someone else a few meters away.

    It also looks like a limitation to adding things that may change more frequently, like ongoing works temporary blocking a road or a speed trap.









  • More choice = better. On the other hand, Germany and France are both getting uncomfortably close to having neo-Nazi governments, with AfD and RN respectively being both very pro-Russia, anti-EU and aligned with Trump policies (even though Le Pen can’t say it too loudly because of her party’s historical anti-Americanism).

    I hope these efforts to create a EU infrastructure succeed, but on the other hand big investments on AI:

    1. take time that I’m not sure we have

    2. sound exactly like the technocratic solutions “far from the real problems of the people” that these parties love to exploit to gain votes and get to power










  • Would you say you are good at creating a meal plan or a work schedule by yourself, with no AI? I suspect if you know what a good meal plan looks to you and you are able to visualize the end result you want, then genAI can speed up the process for you.

    I am not good at creative tasks. My attempts to use genAI to create an image for a PowerPoint were not great. I am wondering if the two things are related and I’m not getting good results because I don’t have a clear mental picture of what the end result should be so my descriptions of it are bad

    In my case, I wanted an office worker who was juggling a specific set of objects that were related to my deck. After a couple of attempts at refining my prompt, Dall-E produced a good result, except that it had decided that the office worker had to have a clown face, with the make-up and the red nose.

    From there it went downhill. I tried “yes, like this, but remove the clown makeup” or “please lose the clown face” or “for the love of Cthulhu, I beg you, no more clowns” but nothing worked.


  • I am not using it for this purpose, but churning out large amounts of text that doesn’t need to be accurate is proving to be a good fit for:

    • scammers, who can now write more personalize emails and also have conversations

    • personality tests

    • horoscopes or predictions (there are several examples even on serious outlets of “AI predicts how the world will end” or similar)

    Due to how good LLMs are at predicting an expected pattern of response, they are a spectacularly bad idea (but are obviously used anyway) for:

    • substitute for therapy

    • virtual friends/girlfriend/boyfriend

    The reason they are such a bad idea for these use cases is that fragile people with self-destructive patterns do NOT need those patterns to be predicted and validated by a LMM.