= 27d567bc2d48d9f40e9ccc20ea370b15)
Gunnar_Zarncke comments on Will AGI surprise the world? - 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 (129)
This is my adopted long-term field -- though professionally I work as a bitcoin developer right now -- and those estimates are my own. 1-2 decades is based on existing AGI work such as OpenCog, and what is known about generalizations to narrow AI being done by Google and a few smaller startups. It is reasonable extrapolations based on published project plans, the authors' opinions, and my own evaluation of the code in the case of OpenCog. 5 years is what it would take if money were not a concern. 2-years is based on my own, unpublished simplification of the CogPrime architecture meant as a blitz to seed-stage oracle AGI, under the same money-is-no-concern conditions.
The only extrapolations I've seen around here, e.g. by lukeprog, involve statistically sampling AI researchers' opinions. Stuart Armstrong showed a year or two ago just how inaccurate this method is historically, as well as concrete reasons for why such statistical methods are useless in this case.
I also think that most if not all parts needed for AGI are already there and 'only' need to be integrated. But that is actually a hard part. Kind of comparable to our understanding of the human brain: We know how most modules work - or at least how we can produce comparable results - but not how these are integrated. Just adding a meta level to Cog and plugins for domain specific modules at least wouldn't do.