Eternal Life

Eternal Life
curate egg dataset, precompute all known dimensions, recursively

hook observability data pipeline on deterministic metrics

adaptively precompute subject specific models for later use

set alert thresholds on key metrics in observed data to recompute new generations of existing subject specific models with increased parameter counts

set default model parameter positions by abstracting them as a set of declarative inputs subsequently aligned to real/actual output(s)

Evaluate regions across all models to identify noise-floor

Extract signatures from noise

compute possible dimensional space of all available signatures

cross-pollinate egg and observation datasets as a super generative transformer

set model default parameter positions based on combined inputs aligned with output

Use model to synthesize reproductive catalysts.

secure gig economy for surrogate mothers

once born, the offspring is enrolled in interactive generative programming that reconditions the state of the body and mind into alignment with the model

complexity is managed autonomously by a combined model dedicated to realignment, with access to tools that realign parameters of the real-world to modulate outcomes

subject are made aware of their circumstances through their programming as determined by their model

Subject achieves an acceptable state of alias

Subject ventures into the real world, refreshed