Stuart_Armstrong comments on Counterfactual resiliency test for non-causal models - Less Wrong

21 Post author: Stuart_Armstrong 30 August 2012 05:30PM

You are viewing a comment permalink. View the original post to see all comments and the full post content.

Comments (78)

You are viewing a single comment's thread. Show more comments above.

Comment author: Stuart_Armstrong 31 August 2012 10:56:35AM 2 points [-]

Both Robin's model and Ray's include Moore's law as a part of their input data, so they have at least as many trials as it does. You can argue they don't have as much info in the early eras, but simply counting the number of data points doesn't put Moore's law on top.

Comment author: Will_Sawin 31 August 2012 03:36:55PM 3 points [-]

Robin's model takes as a given that periods of exponential growth occur and argues for a pattern in the length and relative rate of periods of exponential growth. Thus, trials are either entire periods of exponential growth or the transitions between them.