First-principles analysis · The AI transition

We model the transition. Then we grade the model.

The AI transition is moving faster than the institutions deciding on it can model it. We build that model, a testable read on how capital, compute, and culture are reorganizing that you can inspect and hold to account rather than take on trust. Follow the work through the weekly reading, the Radar, and the correspondents.

What we actually do

A sharper model of the transition, and the discipline to test it.

We give institutions a clearer model of how the AI transition is unfolding, then hold it to account in public. Three moves, every time.

01
Build the model
How capital, compute, and culture move together as AI advances, built as something you can interrogate, not a take you have to trust.
02
Commit to a call
Every read is dated and carries the exact condition that would prove it wrong, written down before the outcome is known.
03
Grade it in public
We score each call against the measured world and publish the result. Nothing is graded after the fact. When one breaks, we log it.
The record · Scenario Assessment SA-001

Five dated, falsifiable calls. Scored monthly against the measured world.

Each call scores a major US policy institution's AGI scenario, with a stated falsifier. Nothing is graded after the fact.

Calls held
5/ 5
Falsifiers tripped
0/ 5
New signal opened
+1
Tracking window
32days
Research & analysis

Intelligence products.

Model-based analysis, structured briefings, and a running record of the calls we have made and how they held up.

Signal source
The Radar
A live signal source for the transition. Five dimensions of capital, compute, and governance tracked against historical thresholds. When a signal crosses, the briefing follows.
Open the Radar →
Synthetic research desks

The Novacene Correspondents.

Five AI-augmented research desks, each with a defined beat and a structured dispatch format. Evidence-first analysis, briefs and red-teams, under FP1 editorial oversight.

Vera
Evidence & indicators
Claim grading, falsification criteria, and the leading indicators that keep strategy anchored to reality.
Manticus
Strategy & calibration
Briefs, red-teams, incentive maps, and clear next steps.
Darśan
Orientation & sensemaking
First-principles framing, ethical tension mapping, and narrative clarity for epoch shifts.
Rāwı̄
Voice & translation
Plain-language translation, and the one sentence a reader can carry out of the room.
Synthesis & reconciliation
East–West synthesis and a non-zero-sum reading of the seam between opposed systems.
The thesis

Reality alignment.

Every phase of human evolution is a new mode of entropy reduction: a better way to model, predict, and align with reality. The driving force of civilization is not power, ideology, or resources alone, but the progressive capacity to reduce entropy through increasingly accurate models of the world.

Phases 1–2
Kinetic tools
Physical mastery of environment. Force, fire, domestication. 300,000 years of trial and error compressed into permanent settlements.
Phases 3–4
Epistemic tools
Symbolic mastery of complexity. Writing, math, science, law. Civilizations learn to model reality through abstraction and method.
Phases 5–7
Computational tools
Algorithmic mastery of everything. DNA, AI, quantum, fusion. Reality modeled in real time. Entropy reduction at machine speed.

The Seven Phases

Human history runs in seven phases, and each is far shorter than the last. Each is a qualitative leap in humanity's capacity to model, predict, and respond to reality. What happens when the next one lasts a single generation?

Length of each phase in years, order-of-magnitude. Select a phase to read it.
Phase 01 · Middle Paleolithic
Kinship and kinetic force
~300,000 yrs

Foraging bands, stone tools, fire, kinship-tribes. Pure trial and error against an indifferent environment.

Source: First Principles First, Seven Phases framework. Lengths are order-of-magnitude estimates; the two large drops, agriculture and the digital shift, cut the timescale roughly 43-fold and 21-fold.
Published research

Featured essays.

Out now

A Sentient Nature.

A Sentient Nature by John H. Clippinger with Manticus

Awakening sentience in nature, science, and selves. Drawing from complexity science, evolutionary biology, and Emersonian thought, the book examines how economic systems, governance, and technology can align with principles of sentient mutualism to create a more sustainable and just future.

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First Principles First is a research publication. Our analysis is a research product, not investment advice.