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Culture War Roundup for the week of February 13, 2023

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In response to your first point, Carmack's "few tens of thousands of lines of code" would also execute within a larger system that provides considerable preexisting functionality the code could build on — libraries, the operating system, the hardware.

It's possible non-brain-specific genes code for functionality that's more useful for building intelligent systems than that provided by today's computing environments, but I see no good reason to assume this a priori, since most of this evolved long before intelligence.

In response to your second point, Carmack isn't being quite this literal. As he says he's using DNA as an "existence proof." His estimate is also informed by looking at existing AI systems:

If you took the things that people talk about—GPT-3, Imagen, AlphaFold—the source code for all these in their frameworks is not big. It’s thousands of lines of code, not even tens of thousands.

In response to your third point, this is the role played by the training process. The "few tens of thousands of lines of code" don't specify the artifact that exhibits intelligent behavior (unless you're counting "ability to learn" as intelligent behavior in itself), they specify the process that creates that artifact by chewing its way through probably petabytes of data. (GPT-3's training set was 45 TB, which is a non-trivial fraction of all the digital text in the world, but once you're working with video there's that much getting uploaded to YouTube literally every hour or two.)