My thunder, stolen:
That’s why you find people saying things like, “Neural networks are decentralized, just like democracies” or “Neural networks are emergent, just like capitalism“.
A summary of the Standard Prepackaged Revolutionary New [REDACTED] Paradigm might look like the following—and when reading, ask yourself how many of these ideas are affectively laden:
- The Dark Side is Top-Down. The Light Side is Bottom-Up.
- The Dark Side is Centralized. The Light Side is Distributed.
- The Dark Side is Logical. The Light Side is Fuzzy.
- The Dark Side is Serial. The Light Side is Parallel.
- The Dark Side is Rational. The Light Side is Intuitive.
- The Dark Side is Deterministic. The Light Side is Stochastic.
- The Dark Side tries to Prove things. The Light Side tries to Test them.
- The Dark Side is Hierarchical. The Light Side is Heterarchical.
- The Dark Side is Clean. The Light Side is Noisy.
- The Dark Side operates in Closed Worlds. The Light Side operates in Open Worlds.
- The Dark Side is Rigid. The Light Side is Flexible.
- The Dark Side is Sequential. The Light Side is Realtime.
- The Dark Side demands Control and Uniformity. The Light Side champions Freedom and Individuality.
- The Dark Side is Lawful. The Light Side, on the other hand, is Creative.
By means of this tremendous package deal fallacy, lots of good feelings are generated about the New Idea (even if it’s thirty years old).
(Over Coming Bias, via Groupuscule. It has nothing to do with Star Wars)
This could be about the hippie vision of the Web, where everyone is a blogger and all YouTube videos are invaluable contributions to culture. It could be about the gloabl brain idea/”metaphor”. It could be about the vaguely post-y romance of revolutionary politics. It could be about opensource. It could be about decentralized, vaguely Deleuzian capitalism. It could be about the upheval of human selfhood brought about by a materialist approach to the brain. Any of these subjects could be what I redacted from that second paragraph. But it’s not about any of those things. Well, it is, but not specifically.
It’s about Artificial Intelligence. This series of fixations, this sort of “affective reasoning,” this particular and peculiar bias (that I exhibit as much as anyone) manifests frequently in many diverse places. It was that last sentence, the thought of a pattern to thought across domains, that made me change this from a tumblr post to an entry here.
The places where this issue crops up have something in common. If not exactly what one would call “the human sciences” just yet, then a collection that might be analgously categorized in the near future.
Here I found myself about to write that the open question was whether the above morality for thought (the author might have been thinking in terms of a hypothetical machine’s thought rather than our own but little matter, that) is more than a trend—whether it was significant on a historical register. But if the impulse is to make sense of things and decide their significance is always and only in terms of history, then another morality still haunts those “human sciences” (and thinking about all this falls within that general area and certainly seems a bit stuck within a history-based paradigm). So much so that it seems very difficult and often very wrong to think in any other way.
Perhaps this isn’t so for the expanded universe of human sciences. Particularly when it comes to a focus on the brain and things like brains there’s much less of need (or feeling of a need) to put everything in terms of History than in the case of the economy or politics. Indeed, the linguist has often derided the idea that there’s much to learn from language by looking at the history of how it’s been understood. Then again, he (and his field) hardly seems paradigmatic of the New Revolutionary Paradigm outlined above…
Programing note: In yet another effort at making this “blog” into… anything, I’ve just had to accept that a lot of posts will end rather unsatisfyingly in ellipses. Or programming notes.
Or promises to continue later in another direction. In this case, what the geistiness of networks might have to do with the authenticity paradigm and the problems presented by their seeming opposition to one another. Hint: are cities light side or dark side?