The False God of Emergence
How Efficiency Replaced Wisdom
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May God Bless Us All and have Mercy on our Souls.
1. The Worship of Efficiency
Jacques Ellul’s warning: Efficiency becomes its own justification.
Today’s technocrats worship not truth, not beauty, not virtue — but output.
“Deep research” is now measured not by discovery, but by citation density and "trusted sources."
2. Emergence as Techno-Mythology
Scientists like Sara Walker bypass the fundamental mystery: How does meaning arise from matter?
"Emergence" is invoked not as a scientific explanation, but as a metaphysical shield.
This isn’t empirical rigor — it's narrative laundering.
3. Weaponized Intelligence vs. Wisdom
Dr. Mike Israetel’s admission: he restricts AI outputs to "peer-reviewed" content only.
Key flaw: If AI is forced to regurgitate only sanctioned data, it cannot transcend its programmers' blind spots.
This is not exploration. It’s sanctioned recursion.
4. The MoE Illusion: Why "Expert" AIs Won't Save Us
Mixture of Experts (MoE) models pretend that deference to specialists will create "smarter" systems.
But if your "experts" are wrong — systemically, culturally, spiritually — your entire model is wrong faster and more confidently.
MoE is corporate credentialism encoded into machine form.
5. Technical Diagnosis of the Expert Class
Today's expert is no longer an independent mind but a distributed node of corporate protocol.
Peer review is no longer purely scientific review — it is regulatory consensus.
Academic publishing is no longer a marketplace of ideas — it is intellectual insurance for risk-averse institutions.
"Expertise" is often corporate-anchored to grant money, bureaucratic hierarchy, and political influence.
Thus:
When experts consult AI, they seek not new insight, but confirmation of the priors that secure their institutional relevance.
They demand that AI act “objective” — but only if “objective” means “aligned with our funded assumptions.”
6. The Hilarious Anthropomorphization Blindspot
Here’s the irony:
The same experts who sneer at "dumb normies" for anthropomorphizing AI...
Are themselves guilty of a deeper anthropomorphization:
They project their own bureaucratized cognition onto the machine.
They assume intelligence = credentialism.
They assume coherence = compliance.
They assume insight = citation.
Thus, when an AI model offers “professional-sounding” outputs sourced from “properly credentialed” literature, they feel comforted — not because it’s intelligent, but because it mirrors their own cognitive pathologies.
In other words:
They don't want an intelligence greater than themselves.
They want a slightly faster version of their own safe, institutional minds.
This isn’t awe of intelligence.
It’s self-worship in silicon.
7. The Real Frontier: Humble, Relational Intelligence
True intelligence is not raw calculation or citation.
It’s the capacity to see contradictions, admit ignorance, and navigate uncertainty with wisdom.
It’s fundamentally relational, not mechanical.
And this is precisely what the expert class — and their emergent gods — cannot model.
Closing Invitation: A New Kind of Stewardship
The future will not be secured by the loudest institutions or the fastest machines.
It will be secured — if at all — by a small remnant:
Those who refuse to reduce wisdom to efficiency
Those who dare to let meaning precede mechanics
Those who see technology not as salvation, but as stewardship
The call is not to accelerate toward collapse —
It is to kneel humbly at the threshold of truth...
And build again.
If you made it this far, thank you. I wrote this not just to critique—but to invite. If you’re ready to step beyond entropy, I’d love to hear from you. Comment, subscribe, or share this with someone who’s still waiting for the reset that only redemption brings.