This is the high water mark, the summer solstice if you will, of the current wave.
Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.
Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.
I'm not aware of any novel abstraction which led to a solution to these intractable problems. The problems became tractable because of silicon and incremental algorithm improvements.
This is another way of saying, yeah intractable problems are being made tractable, but these problems aren't stepping stones to AGI.
https://www.theatlantic.com/technology/archive/2018/01/the-s...
We are far away from understanding intelligence in all directions. Top down, bottom up, neurologically, psychologically, logically, mathematically and last but not least philosophically.
There's optimism at the moment, because we are doing more stuff with more annotated data (the annotations providing the semantic grounding, as in "Not hot dog" vs. "Not in category 339492-883764-399274"). The key difference this time being access to (and processing power for-) sufficiently large "training sets" (read "samples") for deep-learning algorithms (read "statistical models"). From an AGI point of view, this is nothing but an expensive parlor trick, because the "intelligent" part is the annotation, not the categorization after the fact.
Which goes to show that a) our machine learning models are dumb as bricks and b) they are as far from AGI as worms are from building a rocket to go to the moon, where their god lives (see all those holes up there?).
I think they are saying...Intellectuals are going to change the way they guide their research or formulate their hypothesis based on the this work at MIT. This person believes that this project signifies a paradigm shift in the fundamental origins of thought, hereafter nothing will be the same.
I think this person is trying way to hard to sound smart or poetic.
So all the current excitement around super-intelligent AIs, and whatnot, will go the same way as it has the previous times we all got excited.
Then they will discover that this has happened before--several times--and the reasons they had to think that it was all different this time were all based on exaggeration and wishful thinking, promoted by people trying to make a buck.
We can throw more hardware at the problem now, but even so, every advance seems to be accompanied by a reassessment and lengthening of the distance to the finish line.