I think adversarial collaborations are very interesting, so I am curious to hear if anyone has done any work on how we can make this technique scale a bit more? Such as writing a good manual for how to do this?
There aren’t too many insights relating directly to scaling, however. Important takeaways seem to be (a) it’s a lot of work to coordinate, (b) lots of teams dropped out and (c) providing a template and perhaps some formatting instructions may be useful.
I think adversarial collaborations are very interesting, so I am curious to hear if anyone has done any work on how we can make this technique scale a bit more? Such as writing a good manual for how to do this?
A starting point may be these two posts on an adversarial collaboration contest from 2019: https://slatestarcodex.com/2019/12/09/2019-adversarial-collaboration-entries/ and https://slatestarcodex.com/2020/01/13/2019-adversarial-collaboration-winners/.
There aren’t too many insights relating directly to scaling, however. Important takeaways seem to be (a) it’s a lot of work to coordinate, (b) lots of teams dropped out and (c) providing a template and perhaps some formatting instructions may be useful.