Korean SAT are highly standardized in multiple choice form and there is an immense library of past exams that both test takers and examiners use. I would be more impressed if the LLMs could show also step by step problem work out…
You seem to be in the camp of believing the hype. See this write up of an apple paper detailing how adding simple statements that should not impact the answer to the question severely disrupts many of the top model’s abilities.
In Bloom’s taxonomy of the 6 stages of higher level thinking I would say they enter the second stage of ‘understanding’ only in a small number of contexts, but we give them so much credit because as a society our supposed intelligence tests for people have always been more like memory tests.
Exactly… People are conflating the ability to parrot an answer based on machine-levels of recall (which is frankly impressive) vs the machine actually understanding something and being able to articulate how the machine itself arrived at a conclusion (which, in programming circles, would be similar to a form of “introspection”). LLM is not there yet
Korean SAT are highly standardized in multiple choice form and there is an immense library of past exams that both test takers and examiners use. I would be more impressed if the LLMs could show also step by step problem work out…
Claud 3.5 and o1 might be able to do that; if not, they are close to being able to do that. Still better than 99.99% of earthly humans
You seem to be in the camp of believing the hype. See this write up of an apple paper detailing how adding simple statements that should not impact the answer to the question severely disrupts many of the top model’s abilities.
In Bloom’s taxonomy of the 6 stages of higher level thinking I would say they enter the second stage of ‘understanding’ only in a small number of contexts, but we give them so much credit because as a society our supposed intelligence tests for people have always been more like memory tests.
Exactly… People are conflating the ability to parrot an answer based on machine-levels of recall (which is frankly impressive) vs the machine actually understanding something and being able to articulate how the machine itself arrived at a conclusion (which, in programming circles, would be similar to a form of “introspection”). LLM is not there yet