concepts
Where this truly shines is where people are being creative about what they are looking for. My aha use case was fabric. This is a system that is useful for any product set where your customer base knows what they are looking for, knows how a shift is going to
concepts
Here's where I have to caveat that I do not code (I'm an angry dev; I enjoy smiling). I understand how the information needs to function, not how the code will manage it.
concepts
A piece of fabric doesn't become a suit vest just for wrapping around a body. It needs buttons, it probably has lining, maybe pockets. It's the whole form, altogether, that will look like a vest whether it's on a body or a hanger.
concepts
Filter management is three prongs long term. My gut reaction is that 1 & 2 could be swapped and are probably built at the same time. The third can come down the roadmap.
concepts
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.
concepts
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
concepts
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
concepts
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.
concepts
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
concepts
There's nothing new to point out because the existing technology is unchanged from how it's currently managed: behind the scenes. Not deciding for people, but helping to bridge the gap of how to combine multiple binary inputs, and (when/if ungoverned data is potentially built in)