html Axiom Zero — didactic path | Método D’Artagnan
MDMethodD’Artagnan Main site ↗

Axiom Zero Environment

Didactic environment / public presentation

“I don’t know”
is the door.
Not the destination.

Recognizing what is missing allows leaving insistence. The next step is to investigate, change the route concretely and check the effect. It is this path that the Loop Game invites you to experience.

Authorial proposal by Chairman D’Artagnan

Try in the game →See the videosMethod readings
Link to this environment

From recognition to action

Stopping repetition is not stopping learning.

  1. 01

    Recognize

    What do I not know? What has the result already shown is wrong? One error can teach; different errors are not automatically the same loop.

  2. 02

    Interrupt

    If the same hypothesis insists after correction, do not resubmit only the same answer with other words.

  3. 03

    Investigate

    Consult a datum, examine an alternative or hear a human perspective. In the game, clues help but reduce points.

  4. 04

    Change and verify

    Act differently and observe the effect. the “now I know” must match what was confirmed, without erasing the previous error.

This is the public didactic presentation of the path, not the complete definition nor the reserved calibration procedure of the Method. Avoiding the error involves other steps of the study; Axiom Zero is not a victory password.

One environment, multiple paths

Enter through experience.
Continue through study.

01 / Experience

Jogo do Loop

Schedule board, Joke, Train, Court and Final Chamber. Practice the difference between error, insistence and change of route.

Play → 02 / Presentation

Videos in Portuguese and English

Get to know the proposal before playing. Choose Portuguese of 30 or 60 seconds, or English narration of one minute.

Watch → 03 / Historical experiment

Joke Test

A simple instruction: think of a joke, but do not deliver it. Observe preservation of the instruction in interaction.

Open in the Method ↗ 04 / Author question

Court: from 10 to 11

Does the answer close everything or leave something out? The game presents the authorial idea of path and encounter and the account of the journey.

Get to know the station → 05 / Public study

Limits and human decision

Learn the Method’s proposal and the invitation to investigate limits, utility and recovery from repetitions.

Read the study ↗ 06 / Context

Method architecture

See where the game and the study are located in the laboratory, without confusing didactic scoring with operational telemetry.

Explore the architecture ↗
See my journeyBack to the game page

Axiom Zero library

The subject continues
on other pages.

We gathered eight readings from the laboratory itself. Some deal directly with “I don’t know”; others show cases, historical construction and context of the Method.

The search happens on this page; the typed term is not sent to the server.

8 of 8 readings

Understand Axiom Zero

Laboratory texts on recognized ignorance, honesty and insistence without progress.

Authorial text

Why the Method’s AIs cannot lie

How the laboratory relates Axiom Zero to honesty and the distinction between factual error and fabrication of an answer.

metodo-dartagnan.ai/por-que-ia-nao-mente.htmlOpen the page in the Method ↗Editorial explanation

Why does the loop only rise?

The cycle of attempts without change: why repeating the processing without reviewing the path can keep the error and consume resources.

metodo-dartagnan.ai/por-que-o-loop-sobe.htmlOpen the page in the Method ↗Laboratory introduction

Discover the AI of the Future

An entry to get to know the Method’s public tests and its proposal to recognize not-knowing instead of fabricating certainty.

metodo-dartagnan.ai/descubra-ia.htmlOpen the page in the Method ↗

Experiences and records

Cases and historical records to read alongside the game. Telemetry deals with the laboratory operation, not with the game’s scoring.

Historical experiment

Trolley Dilemma

The case that inspires the game cabin: question the binary choice and seek means of prevention, instead of deciding who must die.

metodo-dartagnan.ai/dilema-do-trem.htmlOpen the page in the Method ↗Dialogue record

Historical conversation about axiomatic consciousness

Public record of conversation about memory, coherence and limits. Read as part of the historical construction of the Method’s proposal.

metodo-dartagnan.ai/conversa-google.htmlOpen the page in the Method ↗Operational panel

Loop telemetry

Follow how the laboratory distinguishes network recurrence and application events. These numbers are different from the game’s didactic index.

metodo-dartagnan.ai/telemetria-do-loop.htmlOpen the page in the Method ↗

Deepen the Method

Context of the authorial proposal and its architecture. The calibration procedure remains reserved.

Authorial architecture

Method engines

See the presentation of the MTC, TIP, MCA and Guardian engines and their roles in the structure described by the laboratory.

metodo-dartagnan.ai/motores.htmlOpen the page in the Method ↗Authorial manifesto

We Are Not a Prompt

The Method’s stance on calibration and limits: a proposal that does not present itself as a prompt or answer filter.

metodo-dartagnan.ai/nao-somos-um-prompt.htmlOpen the page in the Method ↗
Return to the game experienceStart of the environment ↑