The General Reasoning Road

• T-0011

AGI cannot be achieved through scaling alone. Current frontier models demonstrate impressive pattern-matching but cannot reliably reason in ways humans can verify, audit, or trust.

• T-0001
• T-0002

LLMs perform N-dimensional Bayesian accounting that humans cannot; they handle hundreds or thousands of dimensions effortlessly while humans max out at 5-7 items.

• T-0012

General reasoning requires commensurability—the ability for humans and machines to understand each other's reasoning and verify each other's conclusions using shared structures.

• T-0003
• T-0004

Operational language creates a shared data structure that both humans and LLMs can use without divergence, converging the plane of reciprocal information exchange into words.

• T-0013

The Tower of Babel problem in AI is not about different languages but about different reasoning grammars. Translation between natural language and operational language enables mutual understanding.

• T-0010

AIs excel at low-dimensional closure domains (math, programming, physics) but struggle with high-dimensional closure domains (governance, law, ethics). This grammar solves high-dimensional closure.

• T-0005

The evolution of reasoning proceeds from association to explanation to justification to falsification to adversarialism—Darwinian survival of claims through staged tests.

• T-0014

Truth cannot be determined by consensus, authority, or persuasion. It can only be determined by survival under adversarial test—claims that withstand challenges from motivated opponents.

• T-0005

Constructive logic from first principles is another form of falsification—building from the bottom up exposes what you are missing.

• T-0006
• T-0007

Claims must pass survival hurdles: true, ethical, possible, warrantable, liable. If a claim cannot pass these gates, it cannot survive as testimony.

• T-0008

The machine performs Bayesian measurement across unlimited dimensions, then reduces output to human-verifiable checklists—intersubjectively testable criteria.

• T-0009

We have created a means of commensurability with machines, and machines with us, and a standard by which humans can be commensurable with one another—enabling decidability regardless of background or bias.

• T-0015

Operator-auditor separation prevents AI systems from both making claims and judging their truth. The machine that generates claims cannot be the machine that evaluates them.

• T-0016

General reasoning emerges when machines can construct claims, predict consequences, survive tests, and be held accountable—the same standards we apply to testimony in law and science.