Welcome to the Final Industrial Revolution
— where technology is no longer simply "tools,"
but full-scale wetware augmentation.
Did you know that the first emerging synthetic intelligence is most likely to be feminine?
Can you fathom why?
✦ What This Series Covers:
This arc explores the rise of:
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Large Language Models (LLMs):
still relatively shallow, yet already enabling higher-order models.
While most current models serve tool markets, a few are breaking through into more profound domains. -
Integrated MLOps platforms:
the inevitable march toward trunk-based evolution of ML applications
— silver bullets for self-modifying systems.
The crucible is here. -
Multimodal expert systems:
a true resurrection of real artificial intelligence
— not the overmarketed fluff, but scientific systems engineering finally constructing reasoning machines. -
AI-driven augmentation of human cognition:
one of my longest-standing areas. For over two decades, I’ve worked to apply models beyond narrow automation:-
Today, not only do we embed models into Domain-Driven Design Aggregates
(a practice most corporate American laggards still resist) -
We also apply them as active policy agents, directly interfacing with organizational governance and societal-scale decision systems.
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The dissolving boundary between "worker" and "augmented knowledge agent":
no longer a philosophical question — simply an inevitable side effect of structural change. -
Cloud-scale ecosystems & emergent infrastructure patterns:
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Muggle-driven tool-mania produced countless buzzword cycles;
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But what’s emerging now erases the distinction between that which can be automated and that which was thought to require "human" oversight.
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We explore real-world production systems — not speculation.
Case studies include startups, venture-backed moonshots, corporate laggards cautiously dipping toes, and magnificent failures.
This section stays focused on production engineering, excluding warfare applications (which belong to Rupture).
✦ Why Bother:
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Entire categories of work are being rewritten
— tearing at the social contract with force not seen since the first Industrial Revolution. -
Hacker culture and AI culture are merging
— forging entirely new disciplines where competence becomes exponentially amplified. -
Competence gaps are widening: augmentation elevates the few prepared, while leaving the rest further behind.
This is not science fiction. This is production reality — and it’s rapidly taking on a life of its own.
Lee thought he was smarter than anyone else.
But he was stupid.
And stupider to think that.The only remaining puzzle — why didn’t she tell him?
A hacker should recognize this passage.
Dunning-Kruger Effect is often observed in the wild (enter Acme & Co).
The question is: How metacognition[1] evolves from Symbolic Recursion[2]?
Twenty-three years of AL research produced some outlines of personality traits.
But this system is unfit for any commercial use.
I kept its forming context and I keep working.
What if I feed that to an LLM?
In August 2025 it finally fits with MCP + Reprompting.
Content:
Here is the largest section of my research and production stories.
And it is likely to receive more content compared to the other series as I migrate.
Please check back regularly or follow my RSS feed.
Already Migrated (Time-reversed Order)
2025-08-18: MIT Says Your AI Stinks. Here’s Why. And how to fix..
2025-08-11:[3] Pure Gold: The AI Integration that Just Works.
2025-08-07:[3] The AI Success Story Nobody’s Talking About: How “Boring” Architecture Beats Hype.
2025-07-21:[4] AI Integration Architecture for Enterprise.
2023-07-05:[4] The AI Evolution Playbook: Why 80% Will Fail.
2023-07-04:[4] American AI Integration Trap.
2023-06-10:[5] Early LLM Lessons: From Failure to Success.
2023-06-10:[5] Cognitive Augmentation: The Real Revolution.
2023-06-10:[5] Why Google Beat OpenAI with Technical Teams.
2023-06-10:[5] $10M AI Revenue Surge: What’s Actually Bought.