• 20 Posts
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Joined 2 years ago
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Cake day: June 16th, 2023

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  • I played around with the big sur graphic light image. Reduced the size by 50% to make the processing easier, then ran some tests through https://squoosh.app/ I believe squoosh uses an old jxl version, but comparing it with avif in lossless mode, they were both pretty similar in size, with jxl taking a slight lead. I’m not sure why you saw such a big lead for avif on your side. A different image type might show significantly different results though. I think the multicolor gradients (and there is some noise) probably just make it difficult to compress.


  • Colors shouldn’t change, sounds like something is wrong.

    It also seems odd that loading jxl files would be slow, as I have heard it has excellent performance (I’ve not been able to do any speed testing myself though). Though I wonder if avif is hardware accelerated.

    What’s really odd is that you are getting much smaller lossless files out of avif, as pretty much every comparison I have seen shows jxl easily winning when it comes to lossless. Are you sure that you used the actual lossless mode, or did you just set the quality to maximum?






  • I think a problem is that many jobs exist in the world, and we don’t even know that most of them exist or what they are. If there are any really large companies near you, see if you can get in doing something, anything. Once you are in, you can learn about the different types of jobs in the company and maybe start trying to work towards something that you like better, either within that company or in another company. Also just having co-workers or a boss to discuss these things with can be a big help and open you up to some new possibilities that you didn’t know about. But yeah, don’t worry about finding your perfect job right away. Having any job will open doors and connections, making it easier to land that perfect job in the future.




  • AI often gets painted as people vs businesses, but that’s not necessarily what it is in many cases. The EFF is arguing for fair use, which is something that they have stood for as long as I can remember. As the article argues, the businesses creating AIs can easily abide by this law, it’s the little guys training things that would be impacted the most.