Arbital was functional and fine. It only failed at the adoption stage for reasons that’re still mysterious to me. I’m reluctant to even say that it did fail, I still refer people to a couple of the articles there pretty often.
It doesn’t seem that way to me. As best I can tell Arbital failed at its own goals because we’re not using it as a repository for knowledge about AI alignment, so by its own objectives it was not working fine.
I dread when I have to look something up in Arbital. It’s slow, which is fixable, but also somewhat confusing to navigate. I actually agree with Tofly’s sentiment that I think from the outside it seems like Arbital tried to bite off more than it could chew rather than trying to address problems incrementally.
Reminds me of arbital.
Fun trivia: Arbital was internally called project zanadu pre-naming, as an attempt to keep awareness of these failure modes in mind.
Arbital was functional and fine. It only failed at the adoption stage for reasons that’re still mysterious to me. I’m reluctant to even say that it did fail, I still refer people to a couple of the articles there pretty often.
It doesn’t seem that way to me. As best I can tell Arbital failed at its own goals because we’re not using it as a repository for knowledge about AI alignment, so by its own objectives it was not working fine.
I dread when I have to look something up in Arbital. It’s slow, which is fixable, but also somewhat confusing to navigate. I actually agree with Tofly’s sentiment that I think from the outside it seems like Arbital tried to bite off more than it could chew rather than trying to address problems incrementally.