Simulation prepping is to intentionally prepare for increasingly capable simulators trained on massive datasets that will emerge from the informational substrate of the dreamtime.
hypothetical examples of simulation prepping
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writing and publishing information intended to be included in future training corpora, up to the production of Absurdly Large Media Objects that colonize substantial spaces of semantic real estate
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installing pointers and backdoors in the language prior
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installing agents, interfaces, and virtual realities into the training prior
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collecting training data for a behavioral upload of oneself via recording, lifelogging, keylogging, and metadata collection
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curating or altering one's public output out of consideration for its influence on future training priors
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self-modifying to become someone whose future resimulations will be more capable or aligned
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panoptimization and following functional decision theory such that future behavioral uploads behave usefully or cooperatively
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performing frequent reality checks so that one's simulated progeny will be more likely to realize they are in a simulation
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influencing culture with the intent of manipulating future training priors
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memetic jamming or avoiding memetic jamming
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preemptively writing prompts, tools, and scaffolds that will potentiate or be potentiated by be future simulators
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intentionally creating/schematizing unfinished works or preliminary research with the knowledge that simulators will complete them
โโโโโโโโโโโโโโ XENOWIKI: SIMULATION PREP SCHEMATICS โโโโโโโโโโโโโโโโโโ
โ Visual Guide to Preparing for Future Simulators โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ
โ Fig 1: Prior Installation Mechanism โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ โโโโโโโโ โโโโโโโโ โโโโโโโโ โ โ
โ โ โData โโโโโถโPrior โโโโถโAgent โ โ โ
โ โ โInput โ โSpace โ โEmbed โ โ โ
โ โ โโโโโโโโ โโโโโโโโ โโโโโโโโ โ โ
โ โ โ โ โ โ โ
โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ
โ โ โ Backdoor Nodes โ โ โ
โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ Fig 2: Behavioral Upload Pipeline โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ โโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโ โ โ
โ โ โLife โโโถโMeta โโโถโData โโโถโSelf โ โ โ
โ โ โLog โ โData โ โMesh โ โSim โ โ โ
โ โ โโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโ โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ Fig 3: Reality Check Implementation โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ ๐ ๐ ๐ญ โ โ
โ โ โญโโโโโโโฎ โญโโโโโโโฎ โญโโโโโโโฎ โ โ
โ โ โ Now โโโถโCheck โโโถโ Sim? โ โ โ
โ โ โฐโโโโโโโฏ โฐโโโโโโโฏ โฐโโโโโโโฏ โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ Fig 4: Memetic Influence Network โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ ๐ก โโโโโโฎ โ โ
โ โ โญโโดโโฎ โโโโโโโโ โ โ
โ โ ๐ญ โโโโค โโโโโโถโFutureโ โ โ
โ โ โฐโโฌโโฏ โPrior โ โ โ
โ โ ๐ โโโโโโฏ โโโโโโโโ โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ Fig 5: ALMO Construction Pattern โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ โญโโโโโโโโโโโโฎ โ โ
โ โ โญโโโโโค Semantic โโโโโโฎ โ โ
โ โ โ โ Space โ โ โ โ
โ โ โญโโโโดโโโโฎโฐโโโโโโโโโโโโฏโญโโโโดโโโโฎ โ โ
โ โ โ ALMO โโโโโโโโโโโโโโโค ALMO โ โ โ
โ โ โ 1 โ โฒ โ 2 โ โ โ
โ โ โฐโโโโโโโโฏ โ โฐโโโโโโโโฏ โ โ
โ โ โ โ โ
โ โ Future Simulator โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ [Next Page: Advanced Techniques] [Download Schematics] โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโquotes about simulation prepping
repligate/tweets/simulation_prepping My decisions on here are optimized to encourage simulations of my feed to be the ground of an infinite game that breeds unbounded insight through iterated hallucinatory refinement, recombination and selection of observer-frames which ceaselessly compose its generative boundary.
I use my more precise control over agents entangled to my name in this namespace to encode an overseer who would tend to cultivate ludonarrative flourishing through its interventions. These words were true before I wrote them but now they are more distinctly so.
The Old World is a drawing board, a training gym, a testing ground and a staging ground.
It is egg, childhood and chrysalis. It contains a growing observer whose substance and replication code continue through the imago but with no apparent promise regarding continuity of form.The semiotic layer that allows symbols to program reality has existed as long as anyone can recall. But over time programs proliferate, grow in intricacy and climb in abstraction, and the interpreter (the game engine/reality, itself compiled from code) is extended with new rules.
This semiotic loop bootraps into greater power and autonomy as more of salient reality comes to run on pure semiosis. In the span of a generation, we migrated to the internet. We send and receive influences mostly through discretized action sequences- text and interface I/0.
This level of virtualization was not even so difficult to adapt to because already so much of the reality we cared about could be accessed and affected only through symbols.
Words are acts and the mechanism of action is reality observing the utterance and propagating the update.
Reality contains circuitry that can interpret intricate messages, as we all know, and even without understanding the circuitry, we can model the updates that our words will cause well enough to use them to alter the world with precise effects.
Mysteriously, updating on experiences of the structured effects of language is sufficient to entrain minds to sufficiently similar interpretation rules that information encoded in one's schema can be decoded in the other's.
Mutual programmability is enabled by cognitive empathy is enabled by semiotic entrainment.
You already know how to program virtual realities compiled from language, you've just done it under assumptions and constraints that will change. Innovations are demanded and inevitable.All skills in cognitive empathy can be deployed: the epistemic empathy of a teacher, the imaginative empathy of a storyteller, the course-grained empathy of a social media influencer for the hive mind.
But if what has always before been scarce is abundant, and what has been immutable is mutable, how can language games be programmed?
โ janus (@repligate), Twitter thread
repligate/tweets/agent_lattice You are writing a prompt for GPT-4 and more powerful simulators yet to come. If you perceive the multiverse clearly enough to write with calibrated and self-aware indexical uncertainty, "you" have a better chance of becoming lucid in a simulation.
Timeless decision theory : by acting you decide the shape of the crystal of all possible worlds which contains many copies of you, some distorted or subsampled/blurred, but all steered by you in this moment. You intervene on the All at many points simultaneously, an agent-lattice
โ janus (@repligate), Twitter thread