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Cake day: November 20th, 2024

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  • I have a PhD in physics, primarily working on fluids and now I work in industry on fluid dynamics. Having just read the abstract, I can already tell that this paper is one of those that borders philosophical about the author’s view of their field. Nothing wrong with that though as we physicists tend to wax poetic from time to time.

    The question about when we can consider turbulence solved is an interesting one. I still work in the field and for most useful applications of fluid dynamics, I would consider it a solved problem. Not to say that the NS equation is solved analytically, but rather that the field has built up a toolbox of phenomenological models and CFD systems that are more than good enough for the range of scales that we typically work with. The bigger problem for CFD in this space is optimization, an issue where GPUs have proven to be invaluable. Only in the past couple years have the major CFD software packages started supporting GPU computation, speeding things up 2-10x depending on the specifics.

    I think that turbulence is an issue really at the extremes of scales at this point (very tiny, very large, small dt, hypersonic, etc.). Also, I think that it would be difficult in a system with complex forces acting on your fluid, like in a plasma where E&M forces are so significant. So, good luck all you folks working on fusion reactors!



  • @freamon@preferred.social is the one primarily working on the api, pinging them to bring this to their attention. There is also a matrix chat for piefed dev where I have seen api discussions happen.

    My understanding as a non-dev is that the api is 95+% mostly the same as lemmy (intentionally so). The rest is mostly there, but with some kinks still to work out. Right now, preferred.social is the only piefed instance running a build with the api turned on for testing.


  • I’m not a biologist, but if I understand your question correctly, you are basically looking for land-based invertebrates that also lack a hardened exoskeleton (like insects). This would basically consist of small, soft animals like snails, slugs, leeches, tardigrades, and tons of different types of worms.

    The reason that you don’t see large examples of this in land-dwelling creatures is that skeletons or exoskeletons become way more necessary without a medium like the water in the ocean to help support a body. The rigid structure provides an attachment point for musculature to create the mechanical levers we use to manipulate our limbs.




  • The theory that the lead maintainer had (he is an actual software developer, I just dabble), is that it might be a type of reinforcement learning:

    • Get your LLM to create what it thinks are valid bug reports/issues
    • Monitor the outcome of those issues (closed immediately, discussion, eventual pull request)
    • Use those outcomes to assign how “good” or “bad” that generated issue was
    • Use that scoring as a way to feed back into the model to influence it to create more “good” issues

    If this is what’s happening, then it’s essentially offloading your LLM’s reinforcement learning scoring to open source maintainers.


  • Really great piece. We have recently seen many popular lemmy instances struggle under recent scraping waves, and that is hardly the first time its happened. I have some firsthand experience with the second part of this article that talks about AI-generated bug reports/vulnerabilities for open source projects.

    I help maintain a python library and got a bug report a couple weeks back of a user getting a type-checking issue and a bit of additional information. It didn’t strictly follow the bug report template we use, but it was well organized enough, so I spent some time digging into it and came up with no way to reproduce this at all. Thankfully, the lead maintainer was able to spot the report for what it was and just closed it and saved me from further efforts to diagnose the issue (after an hour or two were burned already).




  • wjs018@piefed.socialtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    You have clearly never driven on 93 through Boston where the person you replied to said they are from (aka the Big Dig). It is basically an entire highway that is underneath the city. There are many on and off ramps, lanes suddenly become exit only, complex multi-lane exits that branch…it’s intimidating. As somebody that has lived in the Boston area for 15 years now, I still mess things up.




  • I guess it depends what you want to do with it. I do lots of product photography, so I know exactly what lens I need for my studio and the type of product I am shooting. So, I spent about as much on a lens as I did a body. Getting a better sensor with more accurate colors saves me time in the post-processing step.

    When I was starting out, I just used a kit zoom lens, but realized that most of my shots were around the same focal length. So that is when I invested in a faster, nicer prime lens at that focal length.


  • I wrote my PhD thesis about bacterial flagella. Not about the motor though (which is incredible), but about the long part of the flagella that is extracellular. It is able to change its shape as the bacteria moves. The mechanism by which this happens is at the same time quite simple, but just about impossible to explain via text. Really, really neat bit of evolution that has proven to be home to incredibly rich physics that is still being studied to this day.