I’m traveling, so I am going to keep this short. This episode was probably the best produced episode all season. I have absolutely loved this show. Even having read the manga, this show has elevated the source to such a high level it has been a joy. I will miss this when it ends.
This episode was certifiably nuts. The production on this show has been phenomenal when it has no need to be. It’s been something special all season.
Umm, no? 1-bit means 2^1 values. In this case the two colors but more commonly just 0 and 1.
2-bit would mean 2^2 values.
That’s some great dithering.
I just looked at the first PR out of curiosity, and wow…
this isn’t integrated with tests
That’s the part that surprised me the most. It failed the existing automation. Even after prompted to fix the failing tests, it proudly added a commit “fixing” it (it still didn’t pass…something that copilot should really be able to check). Then the dev had to step in and say why the test was failing and how to fix the code to make it pass. With this much handholding all of this could have been done much faster and cleaner without any AI involvement at all.
Most of my plex users stream via Playstation, an area where Jellyfin has essentially been locked out. I let my users know how they can access my Jellyfin for the upcoming loss of remote play, but almost all of them opted to just pay the $2/mo to keep using their Playstation client.
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!
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:
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).
This show is taking its time with the later parts of this story despite going a bit faster early on and I think it is paying off. Honestly, despite the obvious lack of budget/production available for this show, they have done a fantastic job with the adaptation. They have changed up the order and pacing to better suit the medium, leading to some great moments.