Another failure mode for deep learning, precisely anticipated by my 2001 book, The Algebraic Mind.https://www.newscientist.com/article/2198761-deepmind-created-a-maths-ai-that-can-add-up-to-6-but-gets-7-wrong/ …
-
This is a harsh take. Yes, there are discontinuities and issues that need more work. And yes, it was "only" able to get 14/40 on a test it never studied for. But could those 16-yr-olds do better on its questions? Heck, could I?pic.twitter.com/LHchprQNWE
i would urge you to read the linked arxiv @egrefen @FelixHill84 and others paper and the book (mine) cited there; issue is not overall performance but performance on a specific class of items.
-
-
I read the arxiv (I used screenshots), and they were very upfront about failure modes that need further work (see below). They seem interesting and meaningful. Kinda like thwarting adversarial image attacks. Here's my beef: I take issue with your immediate jump to criticize /1pic.twitter.com/nKPw9K5Ktv
-
this discussion would make more sense to you
@bensprecher and@IntuitMachine if you read not only the arxiv but the relevant parts of 2001 book that it cites (with wrong date as 2003) on the first page; it’s clear from both of your remarks that you have yet not done so.
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.