PieFed 1.6 is released - pronouns, private communities, quote posts and much more
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A big thank you to those who contributed to making this release, translating, writing documentation, providing emotional support and promoting PieFed! None of this would happen without you all.
New hotness
- Pronouns - when you put pronouns into Extra Fields on your profile that is used as a flair in all communities where you haven't set a flair yet
- Private communities - no federation, only certain roles (depends on the community) can invite new people. Posts inside are only visible to members.
- Mastodon can now quote-boost PieFed posts
- Plain http web UI (no SSL required) with SSL used during federation - see http://retro.piefed.com
- Downvotes can be turned off completely in a community, not just instance-wide
- Admins can sticky a post on the home page, not just mods in their communities
- Auto-delete of replies on remote instances when reply author has been blocked by parent content author (only works in PieFed communities due to a ActivityPub limitation)
- On home page when showing number of replies a post has, calculate the sum of the replies on all cross-posts and display that
- New users can only do 3 posts in their first 24h, to reduce floods of posts by that guy who keeps deleting his accounts and making new ones
More good stuff
- Improve emoji federation compatibility
- Change order of emoji in picker to present most-used ones first
- Daily time limit on usage to help people use PieFed less (released in 1.5.2)
- A way to report posts that need to be tagged as AI generated
- Better accessibility
- Improved handling of bold and italics in markdown parsing
- Don't accept votes from people the author has blocked
- Admins can resend email address verification email
- Admins can add notes to instances to keep track of defederation reasons, etc
- Search form has been simplified
- Option for admins to disable the em-dash detector
- Multiple minor bugfixes and security enhancements
To upgrade from 1.5.x
git pull git checkout v1.6.xAt this point you might see an error message about a merge conflict with compose.yaml. To preserve your custom compose.yaml you will need to copy it somewhere else, then
git checkout compose.yamlthengit pullagain. This time the pull will succeed so after that copy your custom compose.yaml it back, overwriting the one from git.Then,
./deploy.sh or ./deploy-docker.shIf you had to do the compose.yaml fix up earlier then you might want to compare what you have with https://codeberg.org/rimu/pyfedi/src/branch/main/compose.yaml and manually copy and paste some improvements in particular the
command:part of the db container which tunes postgresql for performance. Adjust the numbers for your system.This time the database migrations will not take long.
Donations
PieFed is free and open-source software while operating without any advertising, monetization, or reliance on venture capital. Your donations are vital in supporting the PieFed development effort, allowing us to expand and enhance PieFed with new features.
Gli ultimi otto messaggi ricevuti dalla Federazione
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> Sorry to be so blunt, but I absolutely cannot abide bullying, of any kind, for any reason.
Once Stanton revealed his identity and stood behind his work both @rimu@piefed.social and I apologized and offered our help. That's all we're asking for, and it's not a lot to expect someone to stand behind their product.
Generative AI brings out the laziest behaviour in some people. They don't even read responses they just paste it in to the LLM and copy-paste the output. The mismatch in work is not something I abide by.
Some coward last month had their OpenClaw agent with a god complex let loose on another OSS project and when the bot got rebuffed, it wrote a hit piece on the maintainer. The bot owner was (by their own admission) hands off on the whole matter.
So, no, I am not at all going to be patient and accepting when a supposedly fully-formed piece of software is launched with zero prior reputation, no attribution, and shows telltale signs of AI usage. It trips all kinds of flags, and I will be wary of it.
> Mastodon HOA
Respectfully, this comes nowhere near the shit I've seen from that group.
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@rimu@piefed.social
At least the Inkwell software consistently fulfills the promises its interface makes. I've tried to edit both my posts in this topic with PieFed, this one to clarify that I meant; detects a Trained MOLE *output. The interface reloaded with a slightly different version of the OP and the comment I was replying to, no sign of the comment that I wanted to edit nor an edit box.Can I respectfully suggest you redirect the time and energy you're putting into dogpiling other AP implementors into fixing some bugs, and testing your interface in non-Chromium-based browsers on non-grApple OS (I'm using LibreWolf)?
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From ‘his’ github profile pic
Do you know how zerogpt.com detects a Trained #MOLE? By using a Trained MOLE!
we employ a comprehensive deep learning methodology, trained on extensive text collections from the internet, educational datasets, and our proprietary synthetic AI datasets produced using various language models
Which means that like all the output a Trained MOLE vomits up, there's absolutely no way to know how accurate this is (whatever the truth of whether there's a human behind these texts of not). Maybe this is a real photo of Stanton. Maybe it's been heavily altered by automated filters in GIMP. Maybe it's been auto-generated, because like many of us, Stanton likes his privacy and doesn't want to doxx himself (a privilege reversed for middle class people in the middle of the social diversity bell curve). The Trained MOLE you just weaponized against him doesn't know, and neither do you.
You know who now deserves exactly the same dogpile from you that Stanton got for using a Trained MOLE to prove a concept? I'll give you 3 guesses ; )
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I’m really sorry for all this dogpile. You shouldn’t be getting this kind of flack when you took the time to implement ActivityPub
You took the words right out of my mouth. I have no bones about dismissing #MOLE Training as a technology for most purposes; https://disintermedia.net.nz/invasion-of-the-mole-trainers/
I might argue the toss with someone using a Trained MOLE, outside of the narrow range of applications it's suitable for (eg digging holes in data). In fact, it's pretty damn likely. But I don't bully hobby developers for making technical choices I disagree with. Some of the comments I've seen directed at Stanton here are worse than the Mastodon HOA. Which is usually at least about some kind of substantive issue with the project (eg not respecting posting scopes when displaying replies), even if the overreaction is nuclear scale.
@rimu@piefed.social @julian@activitypub.space If you really believe you're talking to a Trained #MOLE, do you expect it to take offence and withdraw its participation if you're sufficiently mean to it? Why would it do that? If you are talking to a chatbot, you're just hurling all this toxic negativity into the fediverse for no reason. It's a special case of flooding the zone with shit.
But take a breath, touch some grass, and consider this; what if you're wrong? Which is a possibility a rational person must always stay open to. Have you considered how you would feel if somebody judged your AP implementations and your fediverse replies to be the work of a MOLE, and treated you this way? What if this is an unusually prompt and calm person (maybe they meditate regularly or something)? Or they have a disability and they're using a MOLE to help them reply promptly, but there is a thinking, feeling human being reading these replies. Honestly guys, pull your woolly head in.
Sorry to be so blunt, but I absolutely cannot abide bullying, of any kind, for any reason.
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Appreciate that! I realized I had an outdated readme and needed to add the sourcing directly from the Inkwell site. My biggest concern is gaps that AI won't catch, but luckily I've had early adopters getting on, requesting feature upgrades and reporting bugs. There is no way it would be where it is at if I didn't get lucky with some early users and feedback.
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Thanks again Evan! I think that is where my bad information came from and good to note. I've been lucky and really appreciate the support. If there is anything I can do to improve on my side, I'm all ears!
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Thanks, Evan! I honestly didn't take it personally and there were some learning I needed that will just help me be a better fediverse community member. And thanks for the kind words and feedback! That's mostly why I'm reaching out. The AP integration seems to be working okay, but I'm sure there are gaps I'm missing from a lack of knowledge.
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@julian It's been a great multi-implementer effort, both from the long-form text producers and the microblogging services.
@inkwell@piefed.social one warning about doing ActivityPub development with LLMs: codeberg.org blocks a lot of LLMs for training and for RAG/MCP. Since FEPs are hosted there, I've found that searching for information on FEPs will result in incorrect information.
