more misc notes on the biological path to strong ai

agree that this is looking like the best path to strong AI. don't agree that the biological is the only potential path.

the biological path is only the best path while we share fundamental constraints with the brain.

SDRs are a great example of evolution solving a problem working against limiting constraints. In the the case of SDRs the constraints are those of computing power, storage space and access times in the brain.

The reliance on SDRs is likely linked to one of the bugs in our intelligence - the bias toward equivalence (the "IS A" bias). A hypothetical predictive system implemented without SDRs or with less dependence on SDRs might also be an intelligence that suffers less from the is-a bias.

principles of hierarchical-temporal-memory

HTMemory and Sparse Distributed Networks. Lots of progress in understanding the neocortex - how intelligence works in the brain - and modelling that for a cortical approach to machine intelligence

UPDATE: broken link: Video moved to http://numenta.com/learn/htm-videos-from-jeff-hawkins.html.

Direct link on youtube: https://youtu.be/6ufPpZDmPKA