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Thus it always was. I’m old enough to remember when “if AI could beat a grandmaster at chess” was considered the finish line.


Over fitting to the benchmarks since 1996


Well, yeah… turns out that goal wasn’t a good indicator for AGI, so we re-evaluated. That’s changing your hypothesis in the face of evidence, not “moving the goalposts” in the fallacious sense.


What’s the indicator for AGI now? We are so far past the Turing Test it isn’t funny. In fact the models now are too intelligent, you would never think a human would have that much knowledge quickly about a subject you chose at random.




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