Are you disagreeing with them and saying OP list contains only curated awesome projects?
Do you really need 13 blog platforms? By that point, don't I have to do another analysis and curation to decide what to use? With the generic descriptions that seem to be copy-paste from the projects descriptions, where's the descriptive and usefulness-assessment of curation? If one of the 13 is "Extra-awesome, extra-lightweight blog engine." - why are there even others if it's "extra awesome"? What does that even mean?
I hope you didn't get tired from it.
The Fediverse is a network of services. It is an agreement to communication between platforms.
Services can be groups of services with different themes and types of content.
Some people may create text-only services. They split into three groups of people, and each group hosts their own services that join the Fediverse. They then link each other and share their content and users. You can see and subscribe to and talk with users of the other servers.
Another group thinks text-only is stupid. They create a service that only hosts images. No text allowed. They join the Fediverse too.
Now both groups services are part of the Fediverse. They communicate and share content through the same kind of protocol, the same kind of agreements.
But does it make sense to mix text-only and picture-only services? Those that initially set out to create either may want a pure experience. They may present a split and separate experience to their users. But others may like both approaches, for an intentional, interesting form of content and discussion. They may create a service that combines the other two. In it, you can see and participate in both of the other kinds of services.
Lemmy is a social platform for people to share content and links and talk and discuss. Lemmy uses communities to group and host people and content to for themes - like animals, or pictures of cats, or videos of kids falling.
AI learns from the data it is given. There is no inherent understanding to it.
For a text based AI:
- You feed the AI with text. The AI internalizes that text. (Remembers it. Learns it.)
- You give feedback to the AI, what kind of responses you like from it and what you don't. (You train it to behave the way you want.)
The AI does not inherently understand anything. But it will behave the way you trained it to, to the degree you trained it, and with all the imperfections you trained it with (e.g. prejudices).