Foundational concepts prioritized search pattern was built upon.
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When people are searching, they are looking for something. They see a haystack, and want a needle. Why differs. How they approach it differs. The precision of their language differs. But they all want to find something, in a big gnarly informational pot.
concepts
Binary is a function of our information technology. People do not actually have purely binary minds.
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All this fungibility is because people are creative. If something already exists that can work for the case at hand, we’ll shift something else in the process to accommodate the easier-to-get thing as long as the total process is easier.
concepts
To date, there have been four approaches to smudging the binary: Ungoverned near-matches Mostly beneficial, making up for human error
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The ROI metrics of smudged binaries are often considered IP by companies. Without enough transparency, any numbers I could find are still a guess. What we do know is that smudged binaries are everywhere, and companies behave like people because they are comprised of people. People replicate what they think
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The given narrative about why the backend smudge works is a combination of behavioral data based on a lack of data privacy, combined with an odd hubris that corporations behave less people-y than people.
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What this paradigm is really urging is a reset of honesty in the data and computation. The binary absolutely needs to be smudged to better align with how people think. But how we’re doing it – out of sight, out of control, out of personal impact – is telling us with