Less, but only for More: Degrowth x Acceleration-ism

A Recap on Moloch

But Moloch must exist we need a nemesis Isn't that such a it drives out thebestinus

In competition fascinating concept ShrinktoGrow andTeamworkofinnovation

But sustaina so pqyyy.gg yggsgyggygg ourselves on thisrock Repeat to f

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Thebody pruning apoptosisitying Sick Flourishing ofSoul deathtoo but andinefficient cellsduringfasting make room forhealthycellstogrow Repeatbe Growthepie Thenstop Analyze Then Shrinkthepie so you have space fhf f fjf

f.gg a t evenmorepie.Repeat.ua

Baby you generate a Tuchof Synapses

to explore the optimization space

Prunethe rest This is the process

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Learning plasticity involves more than of redundant inconsistent modules

In fact it's often posited that the Emotional PAIN from betrayal is not only of physiological nature but further that it comes from a Mathematical Synaptic Origin In some sense the Linear Algebraic Systems in our head are very particular about inconsistencies It struggles with selfdualistic paradoxes like in QM An encounter with a conflicting statement behavioretc literally entails a neurologicalMathematical inconsistency The system acts as such by pruning the newofunctional circuit Thepain is literal

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a p p L

synapses neurons that encoded

As someone pointed out to me once the Plasticity modality strategies are equally prominent in politics

You need a Conti at Mode for when things argoingwell

You need a p g Mode for whenthings need uprooting S changing

And you need Both to have cross talk to find the middle likemorphogenstochasticgradientsformingsharpdiscreteboundaries

In fact it's often posited that the Emotional PAIN from betrayal is quite literally of cellulardeath at the synaptic Neuronal level If youcan imagine a experiencesat ofevery singleinteraction mapping of behavioretc stuffed into a gianttract of axons Everyobservation even subconscious literally feeds thepotentiation of their supposed collective synaptic actionpotential It'squiteliterally a biomimicryto AI a an a x t and asthecompscientistshaveenjoyed

Where a an are whatyou'd call scalarweights like the weightof significance of some idea x xn You can thinkofthe neuronliterally being nourished with jiff iiiit Effi

Betrayal meansthecellular death of many Ofyour Synapses to Neurons thatencoded for that thought or belief now disproved

As someone pgnfm.ge tintopoyEs.once the Plasticity modality strategies are equa

You need a Con ist Mode You need a p gits Mode for for when things argingwell Whenthings needuprootingS changing

And you need Both to havecross talk to find the middle likemorphogenstochasticgradientsformingsharpdiscreteboundaries

it to me that for whatever reason the human neurological interface feels loss harder fgÉÉ

ÉÉÉf É

f

ÉÉ of ML should the c.fi weights be rewarded more for guessing right than punished the resultant algorithm's behavior

other hand III faffing

Strong men createNuclear WeaponsBiological Weaponsand good times Good times create weak men Weakmen Nuclear Weapons Biological Weapons endtimes TheEnd

The 4ᵗʰ turning needs to end Which brings us back to

MOLOCH METATRON

We need to understand the Game we're playing

Life is built on an embedded growth obligation

There's an implicit required condition for growth in Biology Stagnation and or equivalence is equivalent to death if the entirety of life's thermodynamics was Energy in Energy out Profit Energy in Energy out

In the sense that a stagnant 2 hour wage may really have a 1 it considered in an If If ftp.ffffffhff mt

Degrowth

Yes

But only of a bigger accelerative leap

We need to know to accelerate not just on the immediate timescale

time

Zoom out Look at the bigger game

We need to double down We can't shrink away and pray to return to times goneby We've walked too far into the valley of death The only Toutisonwards Perhaps outward is moreapt