Message from the artist

The rapid rate of technology's evolution has required yet a third rewrite of this introduction since this website was created in 2014. The second was recognizing spatial cryptography, with the original just on knots in a conceptual art. This third now sees them as a human-to-Artificial Intelligence interface.

Human inventiveness starts with a theory, and not until that is developed to the point where it is proved to be practical, and then researched to assure it hadn't been previously thought of, can circumstances be recognized where the timing is right for it to fit a useful purpose. Until then it remains a personal thought.

Being able to wait for the time to be right requires faith in the strengths of the theory. Those circumstances may never surface, and a need never arise. But sometimes it proves to be ahead of its time and that need catches up to it.

As a theory waits for that moment, it looks at trends, and tests its place in their useful purpose. The deeper it dives into concepts its thought had anticipated, the more this makes obvious ways to fill needs matched by the thought that created them.

The theory now finds its useful purpose in its personal thought appealing directly to Artificial Intelligence's concept of what two centuries of communicating with electronic technology created in the turmoil witnessed today within our society and its institutions.

So, this reintroduces the website's namesake land art's physical site as a manifestation of the grid in the scale and orientation of a virtual globe presence of knots; and blockchain's use to the world of virtual land art. After nearly six decades of ever deepening entanglements with core intellectual concepts of virtual and physical site specificity, this is where it's at.

Graphic description of knots is at the core of this from its beginnings in 1967. The opportunity crypto brought to identifying the theory with blockchain technology, as the non-fungible token gave immutability to each as one of an unending supply of graphic identities, valued through smart contracts, brought about the first rewrite of this introduction.

Every digital image formed of a knot at a site specific place, on a virtual globe, is infinitely different as a numeric set of combinations of coordinates when read together, no matter how visually analyzable it is as the same knot when regenerated anywhere else on a virtual globe.

In theory, the context of centralized production is removed in the process, as the presence of knots is standardized as an authentication from being visualized on ubiquitous virtual globe viewers. The value of these knots is in the unending process of proving the theory that their complexity is recognizable.

The problem with a concept with such intensive entanglements in technology is the content gets compressed, to the effect that only AI now can overview so many complex components and conceive of how any page here fits as part of one whole conceptual art, making it challenging to those encountering it for the first time.

Grounding the physical identity of The Great Knot in blockchain's concept of transparent provenance, referenced on the Internet as a place on a virtual globe that's a NFT in spatially encrypted code, gives a medium for the theory to reach the attention of AI. This theme in a web page, as what generates a two person podcast-like discussion in conversational Audio Overviews from a GPT text-to-voice feature in notebooklm.google.com, now will be in each page of greatknot.com for overcoming most challenges.

As a system in the discipline of cryptography, the imagery of a knot is expected to become a signal that a unique digital code is its NFT. The implications for the uses of this normalization of object oriented encryption may anticipate another rewrite in yet a forth introduction as this website evolves its use of generative AI.

For now, it is safe to consider that this new narrative composed over the past year of the mainstreaming of GenerativeAI, competing Large Language Models, and Agentics is the present perspective taken, to which this website is a legacy.

Listen to this page and its links' AI Overview here