It's a great feeling to be able to solve problems with the software that I'm using, even if what I do is minimal, it's a thing I can point to that brightens the experience.
For example, every time I use a #HashTag with unique capitalization and Mastodon doesn't correct it, I'm using code I added. It also reminds me that capitalization is used by screen readers to decide how to pronounce it. So when it's merged upstream or if people are using this fork, then it's helping people and that feels good.
Free software is important not because it's free as in beer, and not necessarily because you can change the code, but because you can use the code after you changed it, and feel increased agency over the world in which you live.
Linked two repos to work on web of trust for #fediverse moderation.
Please share any repos/resources you think would be helpful.
https://socialhub.activitypub.rocks/t/scalable-moderation-using-a-web-of-trust-model/2005
Anyone who understands #fediverse network propagation want to help spitball Web of Trust resource requirements? Also inside a link to a pretty epic WoT discussion in old #Mastodon issues. https://socialhub.activitypub.rocks/t/scalable-moderation-using-a-web-of-trust-model/2005/2
Our C4 Fork of Mastodon now has configurable toot length. Set MAX_TOOT_CHARS to your length of choice in `.env.production` and restart.
Wouldn't it be grand to check all the boxes at https://fediverse.town/t/what-features-should-a-community-driven-mastodon-fork-have/60?
Anyone who understands #fediverse network propagation want to help spitball Web of Trust resource requirements? Also inside a link to a pretty epic WoT discussion in old #Mastodon issues. https://socialhub.activitypub.rocks/t/scalable-moderation-using-a-web-of-trust-model/2005/2
Help build scalable moderation for #Mastodon
The idea is to follow in #Freenet's footsteps using a web-of-trust. First step: Understand how it was done and create issues for problems to solve along the way.
https://socialhub.activitypub.rocks/t/scalable-moderation-using-a-web-of-trust-model/2005
@jauntywunderkind420 Let's talk about this here: https://socialhub.activitypub.rocks/t/scalable-moderation-using-a-web-of-trust-model/2005
Here's a formulation of the problem:
https://github.com/c4social/mastodon/issues/203
If you've had a chance to understand Freenet's implementation and see initial problems to solve, please create issues, one per problem (we're using C4 protocol) here: https://github.com/c4social/mastodon/issues
A while back Freenet figured out moderation via web of trust and I want this in Mastodon. Anyone want to help build it?
https://socialhub.activitypub.rocks/t/federated-moderation-towards-delegated-moderation/1580/3
I finished reading World Wide Waste by Gerry McGovern. I'd consider it essential reading for anyone working with computers!
https://gerrymcgovern.com/books/world-wide-waste/
It's well cited (though I still need to check those citations) & uses maths effectively to make it's point.
That computers + (surveillance) capitalism is actually worse for the environment than the predigital era. That we can and must move slow and fix things, and fund that vital work directly.
A while back Freenet figured out moderation via web of trust and I want this in Mastodon. Anyone want to help build it?
https://socialhub.activitypub.rocks/t/federated-moderation-towards-delegated-moderation/1580/3
It's also interesting to map TB onto social networking. If neurons aren't monoliths, and each of their dendritic arms are making predictions, then perhaps each of us closer to a neuron in the global social media brain than we think.
We form expectations about the people we follow, about the kind of content they may share, and we get annoyed if they share very different things from what we're used to. If we're surprised enough, we may "fire" too and upset our own followers with our own outrage.
I'm fascinated by the 1,000 brains theory.
Animal brains optimized a mapping structure that was copied 100k times to create the cortex. Each models one concept, making predictions and training itself, even at the dendritic level. Then as we get sensory input all these modules share if their predictions are correct, the result being consciousness.
I'm looking at a screen, reading green text on black. My aircon module is happy about the noise above. I am here and everything makes sense.
Interesting discussion around actively pulling upstream and other PRs into #C4Social forks. https://github.com/c4social/diaspora/pull/5
Is it risky? Should we notify PR authors? Is it ok to tag PRs across forks?
You can now check out our experimental Diaspora* fork at https://dogieda.org
We pulled in a number of upstream PRs to start so if you had an open PR that was not WIP/draft and solves a valid problem it was likely merged, and is now running on these sites.
Please submit issues to https://github.com/c4social/diaspora/issues
Software developer, IT consultant, FOSS proponent, editor on Fediverse Enhancement Proposals.
Founded: Magic Stone