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Regarding privacy, when human beings meet a new person, they do not need tons of data about that person to understand their spoken language. We learn English o

Regarding privacy, when human beings meet a new person, they do not need tons of data about that person to understand their spoken language. We learn English or any other language once and then rarely need to adapt to new people, unless they have a strong accent or speak a truly different dialect of the language. This demonstrates that the much touted speech recognition technologies from Google, Amazon, and Apple do not match human level performance. Are they really exceeding the marginal performance of the Hidden Markov Model based Dragon Naturally Speaking which took around two months of training to achieve its maximum accuracy ten years ago? Or are they just running similar models with huge numbers of adjustable parameters tuned to each user on the "cloud?" If Apple invested in genuinely new, creative AI technologies that matched human level speech recognition and other tasks then they could preserve their purported emphasis on privacy. They would not need to collect huge amounts of personal data on most customers, unlike Google or Amazon.

gls2ro 9y ago
I am not an expert in AI, ML or any other thing like his. But related to > Regarding privacy, when human beings meet a new person, they do not need tons of data about that person to understand their spoken language. I think that we understand context and symbols and syntax because we used it/learned it before. So when I meet a new person I use previous cultural/language learnings to understand the new person. Not just dictionary. And even if I met a person who speaks a new language, I might understand after a period the words but still I use logic and symbols to get that when that person points to ice and says something that something means ice. And this I think is possible because of some previous knowledge on how to interpret the interaction that I discovered before about this context. I think it is the same with Assistants: there is an advantage in being able to access and process large amount of communication so that you can infer meaning or predictions.

gls2ro 9y ago

I am not an expert in AI, ML or any other thing like his. But related to > Regarding privacy, when human beings meet a new person, they do not need tons of data about that person to understand their spoken language. I think that we understand context and symbols and syntax because we used it/learned it before. So when I meet a new person I use previous cultural/language learnings to understand the new person. Not just dictionary. And even if I met a person who speaks a new language, I might understand after a period the words but still I use logic and symbols to get that when that person points to ice and says something that something means ice. And this I think is possible because of some previous knowledge on how to interpret the interaction that I discovered before about this context. I think it is the same with Assistants: there is an advantage in being able to access and process large amount of communication so that you can infer meaning or predictions.