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I attended a primer lecture on tbe immune system. Holy hell. At least 200 different types of T cells. At least 200 other types of immune cells. Then there are all their interactions, signaling, locating, memory functions. I honestly dont know if one can ever get a handle on the complexity.

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It is not complexity, but diversity. The functions those cells perform are mostly understood as are most mechanisms by which they work. There are many variants of a similar function and mechanism.

That said, immunology is still quite young too, but compared to it neuroscience is not even born.

For a large part we understand how two particles can interact. Simple rules.

Put together 200 of those particles, predictions become very difficult and complex.

Alan Kay's inspiration for OOP and message passing seems to have come from working in microbiology.

Maybe thinking/finding about how biology does its computation will be important for machines that can scale very well?

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