Learning meta-memetic templates by exploring grammatical restrictions of a particular template thru social based negative signaling. The fast way to find out the topology is to shove a meme within itself and see how quickly it hits a fixed point.

"Man you’re way too meta" — @vgr

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"This paper will suggest two new terms to use, 'orthogame and 'paragame', in conjunction with a more clearly defined notion of 'metagame'."
doi.org/10.1145/2282338.228234

"... if we don't define the term, its really easy for us to get way off track in the discussion. But even further, we keep using that word [game]"
invidio.us/watch?v=vhZqXOG9Sfo

"You Keep Using That [Template], I Do Not Think It [Memes] What You Think It [Memes]" :sickmeme:

· Web · 1 · 1 · 2

To [learn something at the object level], it is necessary once in the course of our life to [meta[meme]], as far as possible, all of the things.

A *REAL* seeker after truth necessarily suspends faith in all historical memes as far as humanly possible.

| ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ |
| This is memoization |
| of a ycombinator function |
|_____________ |
(\__/) 📍 λf. (
(•ㅅ•) ||
/   づ\\_ _ __ _ __ ___ __
\\
📍 λx. f (x x)) ( | |
_ _ _ _ _ _ _ _ _ _ / /
//
||
||
📍 λx. f (x x))

Orthogame: a competition between two or more players using an agreed-upon set of rules and a method of ranking,

Ideogame: a series of interesting decisions that produce a personal outcome.

Beef-only thinking is to Orthogame
as
Soy-only thinking is to Ideogame

Hmm. That seems to work?

sounds represented by letters mashed up as words strung together into phrases presented in sentences roped into paragraphs structured into stories describing narratives that loosely represent a model of reality our head created as a mirror of experience that we express thru sounds represented by letters mashed up as words strung together into phrases presented in sentences roped into paragraphs structured into stories describing narratives that loosely represent a model of reality our head crea…

Tired: Watching memes bounce around between social networks. Trying to find their origins as a way to hone research skills.

Wired: Trying to reverse engineer what memetic environment spawned them, and trace ecosystems and meme networks.

Inspired: Figuring out how emotion and attention coalesce with patterns of communication that give rise to memetic transfer itself.

Hired: Teaching machines to meme.

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