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It is not enough. Machine learning only gets you so far, even the best general-purpose algorithms. Deriving reasoning and common sense demands something more th
by rexreed 5y ago
It is not enough. Machine learning only gets you so far, even the best general-purpose algorithms. Deriving reasoning and common sense demands something more than learning.
I agree with the other commenter here that the smartest systems are less intelligent than the common housefly. A brain the size of a pinpoint can navigate, eat, reproduce, and live a full life without big data or internet.
- ggggtez 5y agoOn the one hand; award winning ai specialists. On the other: an anonymous internet commenter. I'm not going to take bets on who is right, but simply saying "nuh uh" is not exactly breaking ground.
- deleted 5y ago[deleted]
- for_i_in_range 5y agoI concur. There is “Reality”, and then there is human’s conception of “Reality”. (See also: “Theory of Forms”). AI and Machine Learning are housed in human’s conception of Reality. Not Reality itself. We’re innovating in a sandbox, but we’re getting better and learning more to the point of getting so good, we may one day get out...
- rexreed 5y agoThere are so many people that conflate AI and machine learning and believe they are one and the same thing. They are not the same thing. Machine learning is a proper subset of AI. Even the best machine learning doesn't embody all of AI, because AI is more than just machine learning. Anyone who has spent more than a few years doing AI research and not just reading popular science blogs knows that AI is not the same thing as machine learning. Yet, here we are, saying that achieving one form of machine learning to its fullest extent will be "enough" to meet the challenge of AGI.
- for_i_in_range 5y agoYes, I’m aware of the AI vs ML distinction. How I see it, the Taxonomy is: Intelligence > Human Conception of Intelligence > Artificial Intelligence > Machine Learning > Deep Learning