= 27d567bc2d48d9f40e9ccc20ea370b15)
JenniferRM comments on Debunking Fallacies in the Theory of AI Motivation - Less Wrong
You are viewing a comment permalink. View the original post to see all comments and the full post content.
= 783df68a0f980790206b9ea87794c5b6)
Loading…= b715d02e85f7b3b4ae65ca3d3e450868)
Subscribe to RSS Feed
Powered by Reddit
= f037147d6e6c911a85753b9abdedda8d)
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (343)
Upvoted! Not necessarily for the policy conclusions (which are controversial), but especially for the bibliography, attempt to engage different theories and scenarios, and the conversation it stirred up :-)
Also, this citation (which I found a PDF link for) was new to me, so thanks for that!
McClelland, J.L., Rumelhart, D.E. & Hinton, G.E. (1986) The appeal of parallel distributed processing. In D.E. Rumelhart, J.L. McClelland & G.E. Hinton and the PDP Research Group, “Parallel distributed processing: Explorations in the microstructure of cognition, Volume 1.” MIT Press: Cambridge, MA.
Thank you.
It is a pity that more people did not feel the same way. Although this has provoked some extremely thoughtful discussion (enough to make me add at least two more papers to my stack of papers-to-be written), and even though most of the comments have been constructive, I cannot help but notice that the net effect on my Karma score is consistently down. Down by a net 13 points in just a couple of days. Sad.
It means you're doing something right: avoiding karma-motivated conformity bias. Keep it up.