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People start dating portals all the time. If you start with a targetted group that takes high value from it, you could plausibly do it in terms of network effect. Otherwise, you couldn't start any network app or the biggest one would automatically win. So I think your argument proves too much.
The quizzes sounds is something Okcupid also used to have. Also everything that reduces the need for first impressions. I hope they keep it.
Interest groups without an organizer.
This is a product idea that solves a large coordination problem. With billion people, there could be a huge number of groups of people sharing multiple interests. But currently, the number of valuable groups of people is limited by a) the number of organizers and b) the number of people you meet via a random walk. Some progress has been made on (b) with better search, but it is difficult to make (a) go up because of human tendencies - most people are lurkers - and the incentive to focus on one area to stand out. So what is the idea? Cluster people by interests and then suggest the group to all members. If people know that the others know that there is interest, the chance of the group coming together gets much higher.
I said die, not kill. Let the predators continue to use the dating platforms if they want. It will keep them away from other more wholesome places.
As I have said elsewhere:
Dating apps are broken. Maybe it's better dating apps die soon.
On the supplier side: Misaligned incentives (keep users on the platform) and opaque algorithms lead to bad matches.
On the demand side: Misaligned incentives (first impressions, low cost to exit) and no plausible deniability lead to predators being favored.
Real dating happens when you can observe many potential mates and there is a path to getting closer. Traditionally that was schools, clubs, church, work. Now, not so much. Let's build something that fosters what was lost, now double down on a failed principle - 1-to-1 matching.
100 times more parameter efficient (102 vs 104 parameters) [this must be a typo, this would only be 1.01 times more parameter efficient].
clearly, they mean 10^2 vs 10^4. Same with the "10−7 vs 10−5 MSE". Must be some copy-paste/formatting issue.
"So where do I privately share such research?" — good question! There is currently no infrastructure for this.
I'd really like to have such a place, or even a standard policy how to do this.
I feel like the aintelope I'm working on has to secure it's stuff from scratch. Yes, it's early, but it is difficult to engineer security in later. You have to start with something. I'd really like to have a standard for AI Safety projects to follow or join.
MLP or KAN doesn't make much difference for the GPUs as it is lots of matrix multiplications anyway. It might make some difference in how the data is routed to all the GPU cores as the structure (width, depth) of the matrixes might be different, but I don't know the details of that.
People try new dating platforms all the time. It's what Y Combinator calls a tarpit. The problem sounds solvable, but the solution is elusive.
As I have said elsewhere: Dating apps are broken because the incentives of the usual core approach don't work.
On the supplier side: Misaligned incentives (keep users on the platform) and opaque algorithms lead to bad matches.
On the demand side: Misaligned incentives (first impressions, low cost to exit) and no plausible deniability lead to predators being favored.