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Computers will have developed “common sense” within a decade and we could be counting them among our friends not long afterwards, one of the world’s leading AI scientists has predicted.
Professor Geoff Hinton, who was hired by Google two years ago to help develop intelligent operating systems, said that the company is on the brink of developing algorithms with the capacity for logic, natural conversation and even flirtation.
The researcher told the Guardian said that Google is working on a new type of algorithm designed to encode thoughts as sequences of numbers – something he described as “thought vectors”.
Although the work is at an early stage, he said there is a plausible path from the current software to a more sophisticated version that would have something approaching human-like capacity for reasoning and logic. “Basically, they’ll have common sense.”
The technique works by ascribing each word a set of numbers (or vector) that define its position in a theoretical “meaning space” or cloud. A sentence can be looked at as a path between these words, which can in turn be distilled down to its own set of numbers, or thought vector.
The “thought” serves as a the bridge between the two languages because it can be transferred into the French version of the meaning space and decoded back into a new path between words.
The key is working out which numbers to assign each word in a language – this is where deep learning comes in. Initially the positions of words within each cloud are ordered at random and the translation algorithm begins training on a dataset of translated sentences.
originally posted by: seagull
The last thing I need is a computer with common sense.
That's my job. As for "friend"? Seems unlikely.
on the brink of developing algorithms with the capacity for logic, natural conversation and even flirtation.
originally posted by: netbound
Though I’m no expert, from things I’ve been reading I get the feeling that AI will develop along the lines of powerful alalog processors, with a dash of digital where appropriate. Analog processing most closely mimics brain functioning. Memristor technology is starting to take off and shows promise in development of “thinking machines”.
I read an article recently based on some research being done by an Australian group at RMIT that was interesting. It had to do with their development of an electronic multi-state memory cell. It processes, stores and retrieves information in much the same way as our brains. Anyone interested can read the article HERE.
My greatest concern is that we’ll develop an AI based upon human-like intelligence as the model. That, I’m afraid, could be regretable.
....we cannot in fact be sure beyond doubt about the nature of reality. We can, however, seek to obtain some form of consensus, with others, of what is real. We can use this consensus as a pragmatic guide, either on the assumption that it seems to approximate some kind of valid reality, or simply because it is more "practical" than perceived alternatives. Consensus reality therefore refers to the agreed-upon concepts of reality which people in the world, or a culture or group, believe are real (or treat as real), usually based upon their common experiences as they believe them to be; anyone who does not agree with these is sometimes stated to be "in effect... living in a different world."