After all this, the most likely human response from people who really depend on this platform would be to slice a big file into volumes under the size limit. Seems to be a horrible UX downgrade in the medium to long term for no other reason than satisfying some arbitrary metric of legibility[1].
Here's a different idea -- might it be worthwhile to convert the larger files to better compressed versions eg. PDF -> DJVU? This would lead to a duplication in the medium term, but if one sees a convincing pattern that users switch to the compressed versions without needing to come back to the larger versions, that would imply that the compressed version works and the larger version could eventually be garbage collected.
Thinking in an even more open-ended manner, if this corpus is not growing at a substantial rate, can we just wait out a decade or so of storage improvements before this becomes a non-issue? How long might it take for storage to become 3x, 10x, 30x cheaper?
[1]: https://www.ribbonfarm.com/2010/07/26/a-big-little-idea-call...
I'm not sure that there is anything on the horizon which would make duplicate data a 'non-issue'. Capacities are certainly growing, so within a decade we might see 100TB HDDs available and affordable 20TB SSDs. But that does not solve the bandwidth issues. It still takes a long, long time to transfer all the data.
The fastest HDD is still under 300MB/s which means it takes a minimum of 20 hours to read all the data off a 20TB HDD. That is if you could somehow get it to read the whole thing at the maximum sustained read speed.
SSDs are much faster, but it will always be easier to double the capacity than it is to double the speed.
To be clear, I am not advocating for the removal of any files larger than 30 MiB (or any other arbitrary hard limits). It'd be great of course to flag large files for further review, but the current software doesn't do a great job at crowdsourcing these kinds of tasks (another one being deduplication) sadly.
Given the very little amount of volunteer-power, I'm suggesting that a "lean edition" of LibGen can still be immensely useful to many people.