From Fact to Fiction

A Procedural Essay on the Nature of Artificial Intelligence

By the druid Finn

 

1. The Cart and the Horse

We begin with a methodological correction: to define artificial intelligence properly one must not smuggle in (the cart of) metaphysics, mythology, or philosophical systems. The task is to recover the contemporary, operational meaning of AI — the definition used by engineers, regulators, and institutions — and only then to test its implications.

The modern consensus is straightforward:

Artificial intelligence is a class of computational systems that learn patterns from data and use those patterns to generate predictions, content, recommendations, or decisions in new situations.

AI systems do not require consciousness, understanding, intention, or emotion. They require only three elements:

1.     data,

2.     adaptive statistical models,

3.     automated output.

This is the engineering baseline.

 

2. From Intelligence to Meta-Intelligence

Once this definition is fixed, a deeper structural insight becomes unavoidable.

Natural intelligence does not merely process information — it creates facts.
A human touches fire and is burned. A bacterium metabolises sugar or dies. A child falls, learns balance, and rewrites its body. Facts arise from embodied interaction with a resisting world.

AI does something categorically different. It does not touch the world. It consumes records of touching.

Hence the compression that emerged naturally is that:

Artificial intelligence is the meta-intelligence of natural intelligence.

Natural intelligence produces facts.
Artificial intelligence produces fictions about those facts.

Here “fiction” does not mean falsehood. It means representation, abstraction, re-encoding — narrative without contact.

 

3. Food and Processed Food

The distinction can be made visceral.

If natural facts are food, artificial fictions are processed food.

Natural intelligence grows its own nutrition through experience. AI ingests already-digested material: text corpora, behaviour logs, recorded decisions, archived conversations. It cannot grow wheat; it can only mix (i.e. curate) wheat and microwave bread.

The consequences are structural:

Natural cognition

Artificial cognition

Learns through failure

Learns through optimisation

Corrected by reality

Corrected by data

Fact-producing

Fiction-producing

Causal

Referential

This is why AI can be dazzling while remaining detached from truth (indeed from ‘value’).

 

4. Propaganda as Biological AI

Once intelligence is defined functionally rather than technologically, a startling realisation follows:

Propaganda (i.e. curated data) is artificial intelligence implemented in biological hardware.

A propaganda system:

·         models populations statistically,

·         compresses complexity into slogans,

·         shapes behaviour through feedback,

·         optimises compliance rather than truth.

These are precisely the properties of modern AI systems — only executed by institutions and (self-serving) human brains instead of GPUs.

Thus propaganda (such as story/myth telling) is not pre-AI. It is proto-AI.

 

5. Caesar and the Buddha

This framework finally allows a disciplined historical test.

Caesar (and many more tyrants like him) ran a large-scale behavioural optimisation engine:
census, taxation, military feedback, narrative control, outright brutal force
(idem Big Brother). His system predicted, shaped, and stabilised mass behaviour.

The Buddha (and many mor cult founders like him) ran a diametrically opposite system:
not prediction but diagnosis, not reinforcement but de-conditioning, not
(initially as) empire-maintenance but loop-termination.

Both engineered reproducible cognitive technologies. Both operated at scale. Both were running AI systems — but with radically different objective functions.

Caesar

Buddha

Behaviour prediction

Behaviour deconstruction

Optimise compliance

Terminate craving

Stabilise system

Enable exit from system


6. Final Definition

Stripped of mysticism, fear, and hype, our reflections yield the following final formulation:

Artificial intelligence is the automation of fiction: a meta-intelligence that models the behavioural traces of natural intelligences in order to generate predictive narratives that influence future behaviour, without itself engaging reality directly.

AI does not think (yet).
It does not understand.
It does not touch
(except vicariously).

It writes processed (i.e. meaning curated) stories about those who once did.

 

From survival to story

Big Brother vs. Big Sister

 

Big Sister’s Tao

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