Epstein Secrets

oth badly suited for creating AGI The case against academia as a place to get AGI built was recently articulated by my friend (the AGI researcher) Nick Cassimatis in the following interview http://www.forbes.com/sitesimarkchangizi/2012/11/09/for-siris-new- rompetitor-skyphrasc-academia-isnt-big-enough-for-ai/

N, and will never be more than a perceptual cortex. Another option is open-source development, like the way Linux was built We're trying this with OpenCog (http://opencog.org). But building AGI requires people with much more specialized expertise than building a "mere" computer operating system like L

e in Hong Kong that pay me money (not a lot, but enough to let me pay my kids' college tuition in the US, etc.). These other projects involve using OpenCog's machine learning software to analyze genetics data, and Hong Kong stock market data. But I go to the OpenCog AGI lab for a few hours every day, a

a small team working closely with me in a single location. Another option is that someone like Jeffrey Epstein, decides to fund an AGi project like OpenCog. So, summing up.... What would be a VERY GOOD avenue for getting from here to human-level AGI? -- Jeffrey Epstein funds the $350K OpenCog/Robokind

ing the mechanisms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Science Society. 2004. Cas0i. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. CB00. W. H. Calvin and D. Bickerton. Lingua ex Afachina. MIT Press. 20

zed Terms • Abduction: A general form of inference that goes from data describing something to a hypothesis that accounts for the data. Often in an OpenCog context, this refers to the PLN abduction rule, a specific First-Order PLN rule (If A implies C, and B implies C, then maybe A is B), which embodie

bility. EFTA00624100 Appendix A Glossary A.1 List of Specialized Acronyms This includes acronyms that are commonly used in discussing CogPrime, OpenCog and related ideas, plus sonic that occur here and there in the text for relatively ephemeral reasons. • AA: Attention Allocation • ADF: Automatica

ssing using the mechanisms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Science Society. 2004. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. W.H. Calvin and D. Bickerton. Lingua ex Machina. MIT Press, 2000. Rory

HOUSE_OVERSIGHT_013240 Appendix A Glossary A.1 List of Specialized Acronyms This includes acronyms that are commonly used in discussing CogPrime, OpenCog and related ideas, plus some that occur here and there in the text for relatively ephemeral reasons. AA: Attention Allocation ADF: Automatically De

alized Terms Abduction: A general form of inference that goes from data describing something to a hypothesis that accounts for the data. Often in an OpenCog context, this refers to the PLN abduction rule, a specific First-Order PLN rule (If A implies C, and B implies C, then maybe A is B), which embodies