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Where does the front end live, who hosts it, who pays for the compute, and what determines the latest version is the truest version
where does the data sit. Posts, media, content, and how does this get referenced properly in a safe way.
What’s funny is truely distributed compute is totally possible today, thanks to a lot of work done in the blockchain community. Notice I said blockchain and not crypto, we don’t want the bullshit associated with that (coins, nfts etc). What we want is distributed compute and storage that can be read in a way that provides the same function as Reddit etc. Coupled with a good client experience like sync.
The biggest problem with that though is that blockchain that is truely distributed is slow by nature, because each block of data is distributed and validated to all nodes that host to keep consistency. And the larger a site becomes, the more data there is to store, and the more resource intensive verification becomes so therefore the nodes slowly gain a higher set of requirements.
So the middle ground is something like Lemmy. Where you can run your own instance, that talks to a wider federated network of instances where no one single entity can control the content.
In tech, a lot of the above is explained by a concept called CAP theorem. It’s a really interesting problem that has only really been solved by a few vendors (google spanner is a good one) but even then it doesn’t cover the distributed part.
It’s a technical set of problems.
What’s funny is truely distributed compute is totally possible today, thanks to a lot of work done in the blockchain community. Notice I said blockchain and not crypto, we don’t want the bullshit associated with that (coins, nfts etc). What we want is distributed compute and storage that can be read in a way that provides the same function as Reddit etc. Coupled with a good client experience like sync.
The biggest problem with that though is that blockchain that is truely distributed is slow by nature, because each block of data is distributed and validated to all nodes that host to keep consistency. And the larger a site becomes, the more data there is to store, and the more resource intensive verification becomes so therefore the nodes slowly gain a higher set of requirements.
So the middle ground is something like Lemmy. Where you can run your own instance, that talks to a wider federated network of instances where no one single entity can control the content.
In tech, a lot of the above is explained by a concept called CAP theorem. It’s a really interesting problem that has only really been solved by a few vendors (google spanner is a good one) but even then it doesn’t cover the distributed part.
Interesting, thanks for the insight.