I just started reading W. Ross Ashby’s An Introduction to Cybernetics last month. A friend of mine went deep into this rabbit-hole ~15 years ago, and it’s been in the back of my mind to dig into it somewhat since then.
I’m amazed to find that the operand, operator,
transform and transformation concepts
introduced right away in the book seem to encompass functional
programming, relational database design and other fundamental concepts
embedded deep into programming languages and systems, including machine
learning.
I guess it makes sense! My understanding is that information theory and cybernetics drove a lot of early applied theory in computing, but I’m curious to learn more…
The premise of cybernetics is the study of complexity, especially the
kind of emergent complexity of systems like a swarm of ants or the human
brain. Why have
we resorted to “vibes”? There’s a well-reasoned
approach to dealing with exactly the kind of complexity that emerges
from ML systems…
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