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Joined 1 year ago
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Cake day: June 11th, 2023

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  • I’d be surprised if it was significantly less. A comparable 70 billion parameter model from llama requires about 120GB to store. Supposedly the largest current chatgpt goes up to 170 billion parameters, which would take a couple hundred GB to store. There are ways to tradeoff some accuracy in order to save a bunch of space, but you’re not going to get it under tens of GB.

    These models really are going through that many Gb of parameters once for every word in the output. GPUs and tensor processors are crazy fast. For comparison, think about how much data a GPU generates for 4k60 video display. Its like 1GB per second. And the recommended memory speed required to generate that image is like 400GB per second. Crazy fast.










  • Is the bad side of the seam where it stops or where it starts printing the outer wall? I assume it’s where it stops and then it cross the wall to form the infill?

    To add to the PA questions, are you sure that your PA setting actually are changing anything?

    What printer is this and what firmware?

    Does a spiral mode print work fine?

    What if you print the part significantly slower (to rule out rigidity/acceleration issues)





  • I agree that the internet is far more than facebook. But if you’re blocked at the edge of the network by your ISP, there’s really not much you can do. You’ll have access to nothing, Facebook or otherwise. Not even something low bandwidth.

    If At&t, Comcast, Charter, Verizon, and T-Mobile suddenly stopped providing service to all their customers, then essentially no-one would be able to use anything on the internet at all. Even if the backbone itself (which I believe is largely owned by those same companies, but not sure) and some large datacenters that are their own isps were able to keep talking to each other, anything business or user facing would stop.

    Some people who run their own mesh networks might be able to stay in contact (and people would try and start some local ones as this disaster unfolds), but that’s so few people.



  • That make sense. I would use tags like that:

    • Flickr Published

    • year roundup/2022

    • type/Landscapes

    • type/Portraits

    • events/trips/Zion 2022

    • content/food

    • content/animals

    I actually do event level as my on-disk sorting. And then tag for stuff that’s not that. But I think it would work pretty well to do the event sorting under tags as well.

    Then I rate my favorite photos, usually using the green approved, not stars. But stars would work too. Then if you want to find say, favorite landscapes, the digikam interface makes it really easy to do so.

    I’m not sure if you can select what tags get written into the image, but if you can, you might be able to exclude certain parts of the hierarchy, and only include content/ or type/ subhierarchies