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Well, "Reimplement the c4 compiler - C in four functions" is absolutely something older models can do. Because most are trained, on that quite small product - its 20kb.

But reimplementing that isn't impressive, because its not a clean room implementation if you trained on that data, to make the model that regurgitates the effort.

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> Well, "Reimplement the c4 compiler - C in four functions" is absolutely something older models can do.

Are you sure about that? Do you have some examples? The older Claude models can’t do it according to TFA.

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This comparison is only meaningful with comparable numbers of parameters and context window tokens. And then it would mainly test the efficiency and accuracy of the information encoding. I would argue that this is the main improvement over all model generations.
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Are you really asking for "all the previous versions were implemented so poorly they couldn't even do this simple, basic LLM task"?
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Please look at the source code and tell me how this is a "simple, basic LLM task".
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Perhaps 4.5 could also do it? We don’t know really until we try. I don’t trust the marketing material as much. The fact that the previous version (smaller versions) couldn’t or could do it does not really disprove that claim.
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