It's good to see Apple is taking the fold transition seriously. I have a Z Fold, and Samsung elegantly handles the app transition from fold to unfold by force closing and restarting the app for you, even if you fold it just a little. :D
This was not my experience at all on the fold. Only a very few small selection of apps did this. All were video game related, which made sense. Changing the resolution forced a restart.
I'm one of the project leads of Gitea. I'd be interested in knowing which features you are missing from Gitea compared to Gitlab? We are doing some backlog grooming right now, and input is very appreciated:)
Not who you asked, but I was going to say Actions or CI/CD from when I tried out Gitea a few years ago (back when running a Jenkins instance was more normal) but looks like Gitea supports that kind of workflow now: https://about.gitea.com/products/runner/
Two of the big issues I had were around the user/repository forced structure. That works to some extent when you have multiple users with a small number of repositories. But for my personal projects I wanted more control over the structure and grouping.
I worked around it to some extent by having an organisation per category, but that doesn't work at scale. For example, you can't group Text-to-Speech projects around the different libraries (coqui-ai, Qwen3, parler, etc.), or language tooling installation scripts by programming language. -- Those have a group/subgroup/repository style structure.
The other related feature is having organisation or group-level issues and corresponding tracking features.
Gitolite doesn't impose/enforce a structure on the user. GitWeb/CGit have a free-form category (e.g. "lang/python") that the project can be assigned to. That works, but I'd like it to support multiple tags/labels for that.
I want org-mode markup support for the wikis and readmes. Github supports this, and gitlab sorta does. You should hook up pandoc to it, and support everything it can handle.
I didn't say only do air conditioning during the peak times. You can definitely adjust the AC so that it runs on full during the peak times and cools things down a few degrees below ideal, then back it off and allow the temperature to rise a few degrees once electricity becomes more expensive.
Again, if the incentives are there, people will adjust.
Until drones deploy counter-blinkenlights. As someone who has built a realtime people tracker art installation in a disco: Stroboscopes are highly effective at confusing these models.
A military system is being launched at an area to destroy a target that is presumed to be trying to hide (hence AI).
Absolutely nothing stops a secondary, much simpler identifier system of "home on bright flickering lights".
Any system where you try to confuse an image recognition model by loudly doing something unexpected suffers from the fact that regular tracking systems have been good at finding those for a long time.
No AI model confusion tech is worthwhile if it otherwise makes something much more visible by other means - it's a scifi trope that people want something "obvious" to be invisible to the machine. It's not how reality works though.
There's a limit to the number of targeting systems you can afford to deploy on a weapon, and there's the problem of reconciling their signals if their views of where the target is start to diverge.
"Counter-blinkenlights" are well-known as thermal flares, and more similar but as crude, [dazzlers] that blind the incoming rockets' sensors.
AFAIU, a dazzler is intended to blind the whole sensor, so home on dazzler would need specialized hardware, not only a software adjustment. (Replying to other messages in this thread)
But it's not a separate system, it's just a separate algorithm - it's software.
"No target" by AI but "target" by the "engage light sources" recognizer is still successful targeting.
"No target" versus "aim at anything not green or blue" is as well.
It's also a question of the speeds involved: a dazzler on high speed jet versus a high speed missile might cause a near miss which means hundreds of meters of actual separation. Diving drone vs. truck? Not so much.
Ya, things always evolve, and can't always be perfect, especially against adapting enemies. Strobes; ya - would be interesting to see what these do vs us, not tried.
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