Depends how you look at it! Here’s me accessing Mastodon and the fediverse via email: https://lemmy.world/post/11020167 I’ve written a a couple more prototypes to connect one to the other. If anyone is interested I could write up more about how it works or do a more public demo
no you didn’t Mr. Simpson, no one can
well there was probably awareness of ideas of sacrifice, punishment, right/wrong. Old ideas…
Good question! Sorry if this answer is weird :)
For me, I don’t actually interact from Mastodon per se. I wrote a couple of read-only Lemmy & Mastodon clients. One for a weird text editing environment I use (https://lemmy.sdf.org/post/1035382) and via email (https://gts.olowe.co/@o/statuses/01HMQ9N4HQ2ETGZWJS49K5NG5Y). To reply to or create posts, I use a write-only Mastodon client I wrote.
My idea is to exercise the fediverse. In principal I don’t think I should need separate accounts for Lemmy, PeerTube, Mastodon, Kbin, Akkoma, etc.
Right now I’m replying from an account on lemmy.sdf.org as I can’t reply from GoToSocial (Lemmy and GoToSocial don’t work well together right now) and my Mastodon server (hachyderm.io) has a post limit of 500 characters.
Ah ha makes sense now! The “Replying to comments” section of that article explains exactly what’s happening. If I understand correctly the community itself ([email protected] in my above example) is not notified of my reply from Mastodon. If the community did know, then it would broadcast a notification of the activity to whoever else is subscribed to [email protected].
Gotcha. I had a feeling something around how Mastodon doesn’t support ActivityPub Groups (yet?) would be where things are going on. Congrats on piefed, by the way. I’ll start studying the codebase now as I’m keen to understand how server-to-server communication works more deeply than I do now. Sending Announce(?) and fetching stuff from other servers…
When I look at the ActivityPub Note object (via curl -H 'Accept: application/activity+json https://hachyderm.io//111887721960075860) I see:
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount"
}
],
"id": "https://hachyderm.io/users/otl/statuses/111887721960075860",
"type": "Note",
"summary": null,
"inReplyTo": "https://ttrpg.network/comment/4965852",
"published": "2024-02-07T01:59:08Z",
"url": "https://hachyderm.io/@otl/111887721960075860",
"attributedTo": "https://hachyderm.io/users/otl",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://hachyderm.io/users/otl/followers",
"https://ttrpg.network/u/Neato",
"https://lemmy.world/u/ForgottenFlux"
],
"sensitive": false,
"atomUri": "https://hachyderm.io/users/otl/statuses/111887721960075860",
"inReplyToAtomUri": "https://ttrpg.network/comment/4965852",
"conversation": "tag:hachyderm.io,2024-02-06:objectId=123754186:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://ttrpg.network/u/Neato\" class=\"u-url mention\">@<span>Neato</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.world/u/ForgottenFlux\" class=\"u-url mention\">@<span>ForgottenFlux</span></a></span> I totally get how you feel. One use-case I think of is machine-generated image alt-text. These are often not added to images. But with image-to-text ML models, visually-impaired people could hear a descriptions of images that before were never annotated.</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://ttrpg.network/u/Neato\" class=\"u-url mention\">@<span>Neato</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.world/u/ForgottenFlux\" class=\"u-url mention\">@<span>ForgottenFlux</span></a></span> I totally get how you feel. One use-case I think of is machine-generated image alt-text. These are often not added to images. But with image-to-text ML models, visually-impaired people could hear a descriptions of images that before were never annotated.</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://ttrpg.network/u/Neato",
"name": "@[email protected]"
},
{
"type": "Mention",
"href": "https://lemmy.world/u/ForgottenFlux",
"name": "@[email protected]"
}
],
"replies": {
"id": "https://hachyderm.io/users/otl/statuses/111887721960075860/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://hachyderm.io/users/otl/statuses/111887721960075860/replies?only_other_accounts=true&page=true",
"partOf": "https://hachyderm.io/users/otl/statuses/111887721960075860/replies",
"items": []
}
}
}
So I’m assuming an Announce was posted to the shared inboxes at lemmy.ml, lemmy.world and ttrpg.network… hmm…
I better start reading!
Ah! Interesting.
Which instances? Do you mean hachyderm.io with, say, lemmy.one?
I wonder whether they are aware of the ForgeFed project?
Thought that’s already supported? e.g. https://gitlab.com/diasporg/diaspora.atom
Oh wow thanks! :) One program syncs my home Mastodon timeline, with all replies, to a Maildir. Dovecot serves that over IMAP. Sending involves a custom SMTP server which reads the mail message and creates a post from it.
For Mastodon it was all about converting statuses (toots? Posts?) into RFC 5322 messages. Using the status’ ID as Message-Id in the message header is handy. Mail clients do the heavy lifting of rendering threads thankfully!
Ha good eyes! :) I have basic receive-only working with Lemmy using a virtual file system interface I wrote (https://pkg.go.dev/olowe.co/lemmy). Just realised we actually spoke about this a while ago haha (https://lemmy.sdf.org/post/1035382 )
But synchronising to disk is super inefficient: too many API calls. Should subscribe using ActivityPub proper and store updates received as RFC 5322 messages.
From there we could serve the messages via NNTP. Then, finally, we could use nntpfs(4)
AM radio paywall? Where?
I suppose there’s positive, then there’s “totally changed how I work”. It’s a big call. Maybe a real-world example would make it sound more believable: “before ChatGPT, I would have to sift through stacks of outdated VB6 documentation on $task. This took up most of the day. Yesterday I used a LLM to get a basic implementation of $task then I tidied it up and installed it within an hour.”
Ah come on, we all know as software people we can never stop the spreadsheets from being the real data interchange format ;)
Yes that’s true. I guess what I wanted to point out is that GitLab has dependencies like Postgres, Redis, Ruby (with Rails), Vue.js… whereas Forgejo can use just SQLite and jQuery.
Something not mentioned yet: Forgejo, the software running Codeberg, has a smaller feature set and narrower scope than GitLab (“GitLab is the most comprehensive AI-powered DevSecOps Platform” from their website).
Forgejo is much easier to administrate for smaller groups. For example compare the dependencies mentioned in the Forgejo installation documentation and the Gitlab installation documentation.
Devil’s advocate: what about the posts and comments I’ve made via Lemmy? They could be presented as files (like email). I could read, write and remove them. I could edit my comments with Microsoft Word or ed. I could run some machine learning processing on all my comments in a Docker container using just a bind mount like you mentioned. I could back them up to Backblaze B2 or a USB drive with the same tools.
But I can’t. They’re in a PostgreSQL database (which I can’t query), accessible via a HTTP API. I’ve actually written a Lemmy API client, then used that to make a read-only file system interface to Lemmy (https://pkg.go.dev/olowe.co/lemmy). Using that file system I’ve written an app to access Lemmy from a weird text editing environment I use (developed at least 30 years before Lemmy was even written!): https://lemmy.sdf.org/post/1035382
More ideas if you’re interested at https://upspin.io
of course!