blatano | 21st Century Modern inhabitant of the boundary

blatano is a C++ library. blatano has no bugs, it has no vulnerabilities and it has low support. However blatano has a Non-SPDX License. You can download it from GitHub.

Blatano is a mid-21st Century Modern inhabitant of the boundary between our physical and digital space. It knows only what it senses in the environment around it: it recognizes fellow digital denizens by their trails, and shows you their names, as best can be rendered in our tongue, and their digital portraits. Eschewing Dr. Seuss's "Thing 1, Thing 2" approach, Blatano uses a way of naming entities that distills all its knowledge down into a few bits of information, which it then further illustrates for us as a drawing and a few flickering bits of variations. Blatano also has a sense of location, and draws its view of the radio horizon along the bottom of the display. The drawings may not resemble you, your landscape, or your smart refrigerator, but if you see a name and robot drawing consistently associated with your presence, rest assured it is an accurate representation of how Blatano perceives you. You may get a view into the sense of closeness or distance from Blatano as well. In Rich Gold's "Little Computer People," we are outside the computation, looking at the homunculus in the computer. With Blatano, the homunculus is looking at us. Blatano has a built-in set of criteria for deciding what is unique and what is variation, discarding the most random and keeping a few key points. This lets Blatano recognize a few things dimly, such the difference between humans and service robots. Although it can recognize the difference, it does not attribute any importance to it other than as a distinguishing characteristic! Still, it contributes to Blatano's knowledge and thus the name and the digital portrait. It would be interesting to hear if you can strongly associate any name or set of names with a person, or other entity. For my part, I believe Blatano calls my refrigerator "Partare-oid" and I think it has a cute face. Since Blatano's electromagnetic vision is not as rich as ours, it sometimes confuses what we would recognize as two distinct entities, but Blatano simply cannot tell them apart. Blatano could to distinguish entities better with more senses, and with a bit of work on learning across them. Easy additions are WiFi for a sense of place, light brightness to know when it's dark, Lidar distance to know if something is approaching, acceleration to determine orientation, an internal clock for tracking time, even a GPS! Feel free to experiment and add some of these senses. Once Blatano has more senses, we'll need to figure out how to associate their values instead of using a simple naming scheme for their values. Some sort of clustering or embedding? TF-IDF? Who knows, maybe you?.