Exactly! Back in the day, you had two options: (1) subscribe or (2) buy a single magazine or newspaper. Now, there’s no equivalent to the newsstand for digital media.

To be clear, Google will still be storing copies of the pages they crawl. They just won’t be making those copies available to end users.

Microsoft tried to shanghai me to the “new outlook”. When I realized the scope of what they were trying to do, under the guise of a simple software update, I was floored. I don’t even think Google, with all of their Borg-ish tendencies, would attempt such a blatant hijacking of user data. The privacy implications are profound.

This situation seems analogous to when air travel started to take off (pun intended) and existing legal notions of property rights had to be adjusted. IIRC, a farmer sued an airline for trespassing because they were flying over his land. The court ruled against the farmer because to do otherwise would have killed the airline industry.

If there was an easy answer, someone would have implemented it already. Obviously, it’s a challenging problem, and I don’t claim to have the solution.

I think expanding the voting dimensions (a la Slashdot) would make it easier to create an algorithm, but it pushes complexity to the user, so that’s a tradeoff.

But, even with up/down votes, I think there are potential ways of identifying users whose votes deserve more weight. For instance, someone who up-votes both sides of an argument chain (because both sides are making good-faith responses and adding to the conversation) should be boosted.

We need the karma-equivalent of PageRank. Every vote should not be treated the same, just as Google doesn’t weight every link equally. The “one user one vote” system is the equivalent of pre-Google search engines that would rank pages by how many times they contained the search term. But it can’t be as simple as “votes from higher-karma users are worth more” because the easiest way to build insane karma is to build a bot or spam low-effort replies to every rising post. Still, the system needs to be able to extract the wisdom of the crowd from the stupidity of the crowd, and the only way to do that is to apply a weighting gradient to users and their votes.