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It doesn't understand simple logic puzzles (If X than Y, if Y than Z, X is true, is Z true), either. Or, rather, it prints out a paragraph of the correct way to solve such a puzzle, and then produces a totally contradictory answer. When asked: > Sally will go to the dance if James goes to the dance. Michael will not go to the dance if Julie will go to the dance. James is sick and can’t go to the dance. Julie and James always go to dances together. Will Michael go to the dance? Its response is: > Michael will not go to the dance, since his attendance is contingent on Julie not going and James being unable to attend due to illness does not change that condition. Given that James and Julie always attend dances together, it is likely that Julie will also not go to the dance, meaning that Michael’s condition for attending will be met, and he will not go to the dance. For a beautiful combination of logic and numbers, and the spectacular way in which it explodes, ask it a number-logic puzzle. > Could you please solve the following number puzzle for each digit? AAA
+ BBB
--------
= AAAC
Its response reveals an 'understanding' of what is being asked of it, and the constraints inherent to it, and uses a reasonable approach for problem-solving, but due to the logical errors it commits, it results in utter nonsense.Nonsense like trying '15' for the value of A, because it thinks that A must be an odd multiple of '5', due to algebraic gems, such as: 2A + 2B = A + 10C - 11
Simplifying, we get:
A = 5C - 6 - B/2
It's idea of math - even math it is using to solve problems - simply consists of building a soup of numbers and letters. |
https://platform.openai.com/tokenizer
Then imagine how well you'd be able to do even basic math if your representation of numbers was such that 2045 is made up of tokens (20,45) while 2145 is (2,145) and 2005 is just (2005). No wonder that whatever relationships it derived from the training corpus don't generalize well.