Man vs. Machine
Dexter (first name basis :D), commented that Migs is already working on meme aggregation, and asks if that is what I have in mind.
I think Migs is doing the Google News like approach, where an application does the uber-cool meme tracking. While mine is contemplating on a simpler Digg/Slashdot, social network'ish like approach. For a quick background, Google News selection relies on a computer program running on top of several machines. Digg/Slashdot on the other hand relies on reproductive-determinism-end-result (humans), to submit stories that they think the world wide web should care about.
Mine is just an online application that lets me create my own planets/blogosphere. Grouping the blogs I like and apply my own naming convention.
Group 1 (will spit out an rss aggreate of feed 1 to 3)
Group 2 (will spit out an rss aggregate of feed 4 -5 )
It easily allows you to do recursion
Mega Group (rss aggregate of group1 and 2)
Then you could now do some nifty (should be plugin like) context analysis per blog group. For example you analize the group and check which words are most often mentioned (lucene indexed?) and somewhat getting a pulse of your blogosphere. Or maybe analize the links and hook up with del.icio.us for some tagging goodness, technorati plugin? feedburner? tag cloud? rojo like?
The grouping would also help a lot of RSS-feed-dependent-space-shifting mobile applications like quicknews.
Maybe such a tool already exist? Or does the future belongs to A.I. algorithms which you can directly ask "What's hot on the Filipino blogosphere?". I think the whole RSS thing has reached the point of irrevesible complexity and is in dire need of simplification. Simplifiying it would mean more room to focus on complicating other things. :D