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It's important to keep in mind that the recent progress of AI has been in solving specific tasks, rather than in the development of more general abilities (e.g. general intelligence). And that our solutions to these tasks don't exhibit the abilities humans leverage to solve them.
There are key differences between being able to perform a task, and possessing an ability -- in particular generalization (being able to perform entire categories of related tasks without further human intervention) and open-endedness (figuring out what new task to tackle)
It's a very anthropomorphic cognitive fallacy to believe "I use my intelligence to perform X (e.g. multiplication and addition), therefore if we were to develop a machine that could do X, it would have to exhibit the same intelligence too".
A single shortcut trail through a corn field is a fundamentally different beast than a road-building company.
The size of that data set lul
The objective function is to optimize number of papers and increase hypes.. To solve general ai we need to change our objective function. Journals, government funding, all need to change that function. Otherwise people will keep doing what's is needed and what brings money.
The most important thing for now is to learn how neutral networks can evolve and teach themselves better by doing specific tasks. Also creative thinking is necessary for general intelligence and nobody invented that for AI yet.
It's an easy way of getting attetion in media, but I fear it's going to backfire later.
What should we be working on to get general intelligence? If you had a year to work on just this, what would you do?
How/what do you think about multitask learning?
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