New chapter forthcoming! In this chapter, I canvas some different ways to understand NeuroAI. Utlimately, I think we can do better than just trying to understand the architecture, learning rule, and loss function for the brain--I think we can understand its compns. philpapers.org/rec/BARTPA-39

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wow, i had my doubts, but this is true in every single LLM i can find

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I'm doing this for two upper-div philosophy of cognitive science classes and I'm loving how it's working out. I have a device-free classroom (me as well as the students!) and we work through printed worksheets that I make for each class.

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Thinking about going "analog" for my cogdev seminar class next semester to try to get students to go deeper and really engage with material - printed reading packets, in-class writing prompts, etc. (with accommodations for students who need tech of course). Is this a totally bonkers idea?

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Hindsight is 20/20 and it's a moot point now, but you gotta wonder what DeepMind might have cooked up had they been left as an autonomous unit in Google that could have chosen any research path in 2022/2023.

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