What do you believe that most people on this site don't?
I'm especially looking for things that you wouldn't even mention if someone wasn't explicitly asking for them. Stuff you're not even comfortable writing under your own name. Making a one-shot account here is very easy, go ahead and do that if you don't want to tarnish your image.
I think a big problem with a "community" dedicated to being less wrong is that it will make people more concerned about APPEARING less wrong. The biggest part of my intellectual journey so far has been the acquisition of new and startling knowledge, and that knowledge doesn't seem likely to turn up here in the conditions that currently exist.
So please, tell me the crazy things you're otherwise afraid to say. I want to know them, because they might be true.
Observing, thinking, having ideas, and communicating with other people doing these things. Nothing surprising there. No-one has yet come up with a general algorithm for discovering new and interesting truths; if they did it would be an AGI.
Taking a wider view of this, it has been observed that every time some advance is made in the mathematics or technology of information processing, the new development is seized on as a model for how minds work, and since the invention of computers, a model for how minds might be made. The ancient Greeks compared it to a steam-driven machine. The Victorians compared it to a telephone exchange. Freud and his contemporaries drew on physics for their metaphors of psychic energies and forces. When computers were invented, it was a computer. Then holograms were invented and it was a hologram. Perceptrons fizzled because they couldn't even compute an XOR, neural networks achieved Turing-completeness but no-one ever made a brain out of them, and logic programming is now just another programming style.
Bayesian inference is just the latest in that long line. It may be the one true way to reason about uncertainty, as predicate calculus is the one true way to reason about truth and falsity, but that does not make of it a universal algorithm for thinking.
I didn't get the impression that Bayesian inference itself was going to produce intelligence; the impression I have is that Bayesian inference is the best possible interface with reality. Attach a hypothesis-generating module to one end and a sensor module to the other and that thing will develop the correctest-possible hypotheses. We just don't have any feasible hypothesis-generators.