Yes. Technically, there are situations where the air fryer which is best for you and the air fryer that makes Amazon the most money are the same. However, with the number of airfryers on Amazon it seems safe to assume this is a rare coincidence.
282 karma · joined March 31, 2025
Gitea is developed by a for-profit organisation while Forgejo is developed by a non-profit.
Ability for rug pull is much greater for gitea imo. Gitea (organisation) already develops non-foss software to sit on top of Gitea (software). Gitea requires copyright attributions for contributions so is more able to change the Gitea license to something non-free in the future.
Codeberg can make up whatever rules they want for their Forgjo instance but you can do what you like on your self-hosted instance so I dont think that the governance of codeberg should concerning for self-hosting.
If Forgejo somehow enshittified, I would expect a popular fork immediately. If Gitea enshittified, I expect most people who would have forked already went to forgejo
Anyone have any solutions to this?
Edit: didn't last long (about an hour). Needed to show some one a photo and had to turn it off.
I want more nuanced discussions but I don't want to end up in a situation where people cannot tell whether software is open/proprietary because the language has become so blurred (its already confusing enough as it is).
It's also worth having and discussing this idea of a 'spectrum' of openness but that needs to be seperate as to not conflict with the term "open source".
It already annoys me how many projects describe themselves as "open source" when they are actually just source available.
Maybe I am terrible at prompting. But I am using AI all the time in the form of chat (rather than it coding directly) and find it very useful for that. I have also used code gen in other contexts (making websites/apps) and been able to generate lots of great stuff quickly. I also compare my style of prompting to people who are claiming it writes all their code for them and don't see much difference. So while it's possible my prompts aren't perfect in my scenarios at work it doesn't seem likely that they are so bad that I could ever improve them enough to change the output from literally useless to taking my job.
To give some context to this, the core of my job that I am refering to here is basically taking documentation about Bluetooth and other wireless protocols and implementing code that parses all that and shows it in a GUI at runs on desktop and android.
There are a lot of immediate barriers for gen ai. Half of my debugging involves stuff like repeatedly pairing Bluetooth speakers to my phone or physical pluging stuff in and AI just can't do that.
Second, the documentation about how these protocols works is gnarly. Giving AI the raw PDFs and asking basic questions about them yields very poor results. I assume there isn't enough of these kinds of documents in their training data. Also lot of the information is not text based and is instead contained in diagrams which I don't think the AI parses at all. This is all assuming there is an actual document to work with. For the latest Bluetooth features what you actually have is a bunch of word documents with people arguing half in the tracked changes and the other half of the argument is in the email chain.
Maybe I could take all that information and condense it into a form that the AI can parse? Not really. The information is already very complex and specified and I don't see how I could explain it to an AI in a way that would be any less ambiguous than just writing the code myself. Also that would assume I actually understand the specification which I never do until I write the code.
Maybe I could just choose one specific little feature I need and get AI to do it? That works, but the feature was probably only 5 lines of code anyways so I spent more time writing the the prompt than I would have writing the prompt. It was the last 2 hours of reading the spec that would actually be useful to automate. Maybe AI could have written all the code in my 1k lines PR but when the PR took 4 months and me literally flying to another country to test it with other hardware, writing the code is not the bottleneck.
Maybe the AI models will get better and be able to do all this. But that isn't just a case of ai models continuing to get the kinds of incremental imrpoves we have been seeing. They would need a leap forward to something people might call AGI to be able to do all this. Maybe that will happen tommorow but it seems just as likely to happen in 5 years or 5 decades. I don't see anyone right now with an idea of how to get there.
And if I'm wrong and AI can do all this by next year? I'll just switch to writing FPGA code which my company desperately needs more people to do and which AI is another order of magnitude more useless at doing.
All QR codes are using some amount of error correction plus the locating squares in the corners which uses up space but is needed for people to scan them quickly and reliably.
The fundamental issue is that you are displaying binary data in physical space. My Google url is 18 characters so 18 bytes ASCII and 144 bits. At minimum that's 12x12 already. Then add the location squares and error correction. Then realise that your link is probably longer than that. Then realise that a standard is going to need to support links that are longer than yours also.
Now the resulting code needs to be physically large enough that someone's with an old phone with a bad camera can see it in sufficient detail without needing to get so close that the camera cannot focus.
You could always just use an NFC tag instead if that works. Buy them for pennies, load the link onto the tag and then they just tap their phone.
I think they need to define the rule better though for future years.
"Games developed using generative AI are strictly ineligible for nomination"
The strictest interpretation of this would mean that any single developer using chatgpt to ask how a C++ function works would make the game ineligible.
Clearly that's not the spirit of the rule (since I think that basically exclude all games at this pointso) so it should be better defined.
So no, I'm not worried.
I would really recommend using the git master than the latest release though. The last release was 2021 but they are still actively working on it and it's much faster now.
I also have to recommend the BOSL2 library which means you don't have to implement all of those one million features from typical CAD software yourself. Its definitely got a bit of a learning curve but the fact that you can always default back to vanilla OpenSCAD and that you can actually see how stuff is implemented makes it much more satisfying to me to learn than learning what all the traditional CAD GUI buttons do.
Personalised advertising is about collecting every detail about your life and using it to extract as much money as possible from you. AI advancements might be making this even more effective but it's been this way for a long time.
I have no problem if they just hear the "2 weeks" part. If they come complaining in 3 weeks I just say "we hit that 10%".
The other important thing is to update estimates. Update people as soon as you realise you hit the 10%. Or in a better case, in a week I might be able to say it's now "1% chance of taking more than a week".