Kevin Korb

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Science vs Pseudoscience - Kevin Korb - Philosophy of Science

Published on Oct 31, 2015

Science has a certain common core, especially a reliance on empirical methods of assessing hypotheses. Pseudosciences have little in common but their negation: they are not science.
They reject meaningful empirical assessment in some way or another. Popper proposed a clear demarcation criterion for Science v Rubbish: Falsifiability. However, his criterion has not stood the test of time. There are no definitive arguments against any pseudoscience, any more than against extreme skepticism in general, but there are clear indicators of phoniness.

 

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Kevin Korb - Is machine understanding the key to AI?

Published on Dec 22, 2018

While AI developers model the output of human understanding as solutions to problems in the form of computer code - this doesn't mean the computer code has understanding.
Will we achieve Strong AI (or 'quality' superintelligence) without first achieving machine understanding?
What are some necessary ingredients a system must include for it to actually 'understand' a problem it is pointed at?
Discussion on CYC / Symbolic GOFAI attempts to create AI - the usefulness of philosophical investigations to help ask the right questions, frame the right research to ultimately a) know what your aiming for and b) how to get there.
Kevin explains what the 'Frame Problem' is and why symboic approaches will never solve it. He also discusses Bayesian Primitives in reference to predicting the edges of competence, and gracefully degrading/coping and learning at these edges without catastrophic failure.