Useful framing of quantification. A few excerpts:<p><pre><code> The power to see like a state was intoxicating for government planners, corporate efficiency experts, and adherents to high modernism in general. But modern technology lets us all see like a state. And with the advent of AI, we all have the power to act on that seeing.. like a data structure.. built for and within a set of societal systems—and stories—that can’t cope with nebulosity.. things are continuous spectra, not discrete categories.. avoid being fragmented into nanogenres.
While large organizations can exist, they can’t be the only ones with access to, or ability to, afford new technologies.. We can create new “federated” networks of organizations and social groups, like we’re seeing in the open social web of Mastodon.. where local groups can have local rules that differ from, but do not conflict with, their participation in the wider whole..
The idea of having multiple identities.. some of us have gotten used to having a “portfolio career” that is not defined by a single hat that we wear. While today there is often economic precarity involved with this way of living, there need not be, and the more we can all do the things that are the best expressions of ourselves, the better off society will be.
Think of how we use weather apps, fitness apps, or self-guided museum tour apps to improve our lives. We need more tools like this in every context to help us to understand nuance and context beyond the level we have time for in our busy lives.. A tool is controlled by a human user, whereas a machine does what its designer wanted. As technologists, we can build tools, rather than machines, that flexibly allow people to make partial, contextual sense of the online and physical world around them.
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<a href="https://en.wikipedia.org/wiki/Seeing_Like_a_State" rel="nofollow">https://en.wikipedia.org/wiki/Seeing_Like_a_State</a><p><i>> Unlike epistemic knowledge, which tends to be standardized and centralized, metis is characterized by its adaptability and diversity. It arises from the accumulated experiences of individuals within specific contexts, leading to a rich tapestry of localized knowledge systems. This inherent flexibility allows metis to evolve and respond to changing circumstances, making it highly relevant in various practical domains.</i>