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Description:

Imagine you're building a super smart robot, but how do you know if it's actually smart and doing the right things?

These papers talk about new ways to test how good AI is. Think of it like giving AI different kinds of quizzes and challenges. Some of the new tests are really tough, like college-level questions with pictures (called MMMU) or super hard science questions that even Google can't easily answer (called GPQA). There's even a test to see if AI can fix real computer problems like a software engineer (called SWE-bench).

These tests help us see if AI really understands things and can do practical stuff.

It's also important to make sure AI is safe and trustworthy.

So, there are also tests to check if AI tells the truth, if it's fair, and if it could do anything harmful. Scientists are always trying to come up with better ways to test AI because the old tests are getting too easy for the smartest AIs. They want to make sure these tests are fair and really show what AI can and can't do in the real world.

So, just like your grades in school help show what you've learned, these AI tests help us understand how much AI is improving and if we can trust it