LLMs performed best on questions related to legal systems and social complexity, but they struggled significantly with topics such as discrimination and social mobility.
“The main takeaway from this study is that LLMs, while impressive, still lack the depth of understanding required for advanced history,” said del Rio-Chanona. “They’re great for basic facts, but when it comes to more nuanced, PhD-level historical inquiry, they’re not yet up to the task.”
Among the tested models, GPT-4 Turbo ranked highest with 46% accuracy, while Llama-3.1-8B scored the lowest at 33.6%.
Bullshit, they are prediction engines biased from their input. Saying that no one understands what they do is a gross simplification. Do you understand how encoders work? Great! Then there is a common vocabulay! Now we move on to a probability matrix given those inputs, and we get the out put token witch circles through the input layer.
That was the point. Not everything needs to be literal.