lnq 👨🏿‍🦱: identity
👨🏿‍🦱
Showing posts with label identity. Show all posts
Showing posts with label identity. Show all posts

/ fibor

A fibor :== an automaton that is a unique and totally twistable ||f(u,u)=0|| crypto mesh* (cluster) of links (L) which is subject to stewcing.** There are two (2) classes of fibor: MONEY and bubblegum. This is a tertiary (stereo) isoform of Egglepple.

Fibor^ is a functional component (dyadic fluctuator) of twist economics; hashed (from an algorithm of mathemusic) to output some image.^^ Each fibor is both its own structural formula and memory address. As part of the endgame🏁, we care mainly for the ludological aspect(s) of stewcing (topology, rhetoric, mechanics, etc.), as they relate to identification and function attribution. (see minor, major, fibor bundle, fibor mutation, stew, zero-bubble, walk, stewc tax)
/// +Mathematically, fibors are trivial zeroes (compared to stews which are non-trivial zeroes).
+Fibor is the 'print' (or vending) stage. This would be the total algorithm input assigned from stew choreography. Gameplay-wise, stewcers should aim to get here as quickly as possible.
+For purposes of imaging, the loopstring➿ may be a simple topological schematic, serving to illustrate some animation directive.
+Just to reiterate, our primary interests are not in figuring out the science (eg. chemistry, biology, physics, etc.) behind the folding (chemical bonding, dipole moments, things of this nature are left to such experts). We are chiefly concerned with "writing a playbook", so to speak, that will enable anyone to generate algorithms (plays) for configuring polymorphisms and coordinating meshes.
+We must be careful with our vocabulary. Yes, fibor is stringy, but it is not a requirement that it be physical, per se. It just necessarily assumes the properties (namely that it can vibrate in multiple dimensions) of strings as it propagates into worldspace. In this case, we are concerned strictly with string dynamics (incorporating the landscape vacua philosophy). However, fibor - in the mold of stew choreography - is open/closed in some arbitrary volume, whence it is attached to a dynamical mem(brane). Oddly, however, there exists a method to start with Planck data, and work our way up to normalization with g-folding.

Function map: minormajorfiborfibor bundle

/ gameplay [installer]

From the standpoint of string logic-compliance, gameplay (ludological operation) :== the dynamic of how loopstring➿ functionality is streamed (ie. play-by-play) in 🧩puzzle-solving. The premise is that - in juke field - the two (2) ends of a string must meet each other🔒.

Elementally, gameplay educes proof [diffs and signatures]; by playing games, we are training (via models of predictive analytics) objects for strategy-gathering: generate walks for use in fibor determination and their identities (where applicable).* ** Gameplay directive: "new walks .. more threads .. better spots .. bigger spreads." - 🧑🏿Link Starbureiy ///simplified: "more residue = more revenue"/// [see Black and White, thread, 🎮🎹gameboard, UUelcome, gameshow, play, Pink Poem, carrot🥕]

Basically, all games transition through three (3) phases^: the 1) opening, 2) middlegame, and 3) endgame.movements
/// Jukers are encouraged to use the Stewdio for juking activity.
Function map: |taxcoverage| → signature

/ identity (equality)

Pertinent to dyadic forms, an identity between objects (asymmetric* endofunctors) :== or occurs when an opus' measurable and permutable extrema commute (ie. idempotent yield deviation ≡ 0).** Asymmetry here simply means that the cryptokey is subject to attack variants, but the image itself is a one-way function. The normal way to see this is by decryptionencryption equating fibors with spectral line frequencies. In terms of juking, such a dyadic form exists where the walk of a minor scale and major scale are identical. (See font, coverage, patch, u-u, γ-proof, 🍄meshroom, MONEY, toy, zero-bubble. Compare structural formula)
/// +Discovering identities is the 'name of the game' (or the 'hussle of the puzzle🧩', as I like to say). Identities are what best help organize strategies for fleet learning.
+Probably the most prolific and profitable class of identities is going to be peptides, drugs, and their design We probably won't know which molecules and fonts match up with each other until an ai is run on both sets of classes to determine similarities in shape + size.