And beyond the ethical points it makes (which I agree may or may not be relevant for LLMs - nobody can know for sure at this point), I find some of the details about how brain images are used in the story to have been very prescient of LLMs' uses and limitations.

E.g. it is mentioned that MMAcevedo performs better when told certain lies, predicting the "please help me write this, I have no fingers and can't do it myself" kinda system prompts people sometimes used in the GPT-4 days to squeeze a bit more performance out of the LLM.

The point about MMAcevedo's performance degrading the longer it has been booted up (due to exhaustion), mirroring LLMs getting "stupider" and making more mistakes the closer one gets to their context window limit.

And of course MMAcevedo's "base" model becoming less and less useful as the years go by and the world around it changes while it remains static, exactly analogous to LLMs being much worse at writing code that involves libraries which didn't yet exist when they were trained.

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