In terms of (Artificial) Neural Networks it implies their internal representation is functional not merely symbolic. Soumith has shown this applies to visual m

In terms of (Artificial) Neural Networks it implies their internal representation is functional not merely symbolic. Soumith has shown this applies to visual modalities and smile vectors or wearing sunglasses vectors are similarly present[1]. This types of vector algebra has some use in translating between languages and modalities. Karpathy[2] has demonstrated an internal vector of a descriptive sentence can 'plugged into' an image recognising network and used to find vectors representing pictures. Perhaps a sentence vector could even generate a picture. What Neural Nets do internally is still mysterious. (A Highly speculative example) If DeepGo's internal vectors could translate to the modality of plain English we might glimpse its 'mind' at work. What this means for brains is anyones guess, I find inspiration in Geoff Hinton's guesses[3]. [1] - searching [2] https://www.youtube.com/watch?v=ZkY7fAoaNcg https://www.youtube.com/watch?v=ZkY7fAoaNcg [3] http://www.computing.co.uk/ctg/news/2409871/document-search-engines-will-be-able-to-think-and-reason-like-people-argues-ai-expert http://www.computing.co.uk/ctg/news/2409871/document-search-...