A little tricky to read this. With the ground constantly changing underneath your feet, there's a feeling that rules and words get introduced then redefined willy nilly. The whole thing has a sense of "Numberwang" about it, which I think is part of why it comes across as satire. Another big part is no doubt how ridiculously the bootstrapping stage was written, but that seems intentional.
There's clearly something deep going on, but I will have to come back to this after an even deeper cup of coffee.
As EV sales grow the chargers not growing will lead to more and more dissatisfaction as people will be queuing for longer and longer to even start charging. In many places in California that's already the case today.
If it is that way, there should be no theme index that states otherwise in the theme. As mentioned in the bug, that still is the case. Even if not the default on other distros, users will be able to pick it in desktop envs that honor the spec and trust that file.
We no longer do:
Git commit c8b8a4db63b575edf931c3d61aea1ed3d3d287f2 by Nate Graham.
Committed on 01/05/2024 at 21:50.
Pushed by ngraham into branch 'Plasma/6.0'.
kcms/icons: filter out GNOME's Adwaita and High Contrast icon themes
These are no longer FDO-compatible icon themes, and are apparently no
longer intended to be used for non-GNOME apps--going against what an
FDO icon theme is supposed to be used for.
As such, allowing the user to select these icon themes will just give
them an opportunity to break all their non-GNOME apps. Let's filter
these themes out to prevent that possibility.
We still need to figure out a solution for when our apps are run in
distros where Adwaita is used as the default icon theme, but that's a
separate topic.
BUG: 486409
FIXED-IN: 6.0.5
(cherry picked from commit 813d22ff80ede0c7c08e4563621e3778459426f0)
Interestingly enough, in practice, there are various declarative SwiftUI-style nuget packages for Avalonia[0][1][2] and Uno[3]. You don't actually have to touch XML if you don't want to.
Possibility is that Tesla won't get billions in US tax dollars to build out their network for free (and reap all profits), i.e. Elon's M.O. for all his companies. Hence the childish decision to throw the whole thing away then.
I mean, I wouldn't mind being taken out to Red Lobster.
I've come to find too, partners who prefer whatever instead of having very specific expectations for time spent together are more comfortable to be around.
GPT4->GPT4: Sometimes, I have explanations given in English for me, or in Japanese for him, and vice versa. Switching languages in the same context is no problem at all. ChatGPT also supports me with various phrases that are difficult to explain in both English and Japanese.
DeepL->DeepL: Sometimes I explain something in English and he explains something in Japanese. Switching languages in the same context is no problem. ChatGPT has no problem teaching me phrases that are difficult to explain in either English or Japanese.
When I started creating demos for our startup, I started with Shotcut, it is pretty awesome and simple to start with. VN editor is also a good option if you are just starting your journey. And combine your screen recording with some animations and images.
Hope this may help you.
Yes, I just fail to see why one not went with some easy fix and then perhaps thinks about enhancing the spec. Errors can happen, I did break stuff in the past, too.
Thank you, great blog post! I do a lot of MS-DOS/Pentium and earlier retro programming so I love this stuff. The Amiga is a platform that I missed out on in my youth but I'm keen to have a crack at it some day. Most recently I made this demo with my group https://www.pouet.net/prod.php?which=95524 which won the 2024 Meteoriks award for best midschool production!
> If you can pay for admittance, most likely you can pay for grades too.
Do you mean paying for tutoring (in which case you actually learn the material), or more devious shenanigans like faking your work, cheating or hiring lookalikes to sit for exams, bribing professors, etc.?
How many people take 200 mile + road trips and how often? If there are enough DC fast charging infrastructure, where you can fill up say 40% of that range within a 15 minute rest stop, then that range is still not a problem. The issue currently is there isn't enough of those fast charging infrastructure.
I'm not convinced, because I think there will be a drive to distill down models and constrain them, and try to train models with access to "premade blocks" of functionality we know should help.
E.g. we know human voices can be produced well with formant synthesis because we know how the human vocal tract is shaped. So you can "give" a model a formant synth, and try to train smaller models outputting to it.
I think there's going to be a whole lot of research possibilities in placing constraints and training smaller models, and even training ensembles of models constrained in how they're interacting and their relative sizes to try to "force" extraction of functionality.
E.g. we have reasonable estimates at the lowest bitrate raw audio that produces passable voice. Now consider training two models A, B, where A => B => audio, and the "channel" between A and B is constrained to a small fraction of the bitrate that'd let A do all the work, and where the size of B is set at a level you've first struggled to get passable TTS output from.
Try to squeeze the bitrate and/or the size of B down and see if you can get something to emerge where analysing what happens in B is doable.
It's a low-code solution for customer-facing analytics but is super flexible and extensible with code. Embedding is available in React or Vanilla JS (no iFrames). You can build dashboards programmatically or with the no-code editor.
The backend query engine is also pretty powerful; performant and copes well with complex customer data structures.
I as Kate maintainer can not understand their position in that bug. I see that one might forget about the implications of that rename, but now it got reported and the fix would be, at least the simple one, to just keep the old icons for these names.
That would have zero bad impact on 'modern GNOME apps'.
"Tesla miles" are also a misleading metric because they don't factor in all the times the driver has to take back control over the vehicle to ensure safe operation, it's just the sum of arbitrary stretches of self driving that don't represent true autonomous operation.
Oh it is awesome progress!
This discovery can be a significant step towards the development of universal donor blood. I have seen complications related to blood transfusion and its results. It has immense implications for blood transfusion safety and efficiency.
I am curious to see its long term in-vivo experimental results.
Even if you delete your account, it wouldn't really matter that much. Whole HN is probably crawled and archived on a daily basis due to a simplistic API
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I took a few stabs at understanding Klatt, but I feel like I had far too little DSP, math and linguistic intuitions back then to fully comprehend it, perhaps I should take another one now.
