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beforeword/README.md

beforeword

English · Русский · Website

A word does not become what it names.

beforeword is a research project by Kirill Shebetov examining how descriptions of people and AI are used to justify judgments, demands and decisions.

A learned written form remains writing. beforeword examines a proposed transition and stops where continuing would present that writing as what it names.

Start here

  1. Try the public beta — read three worked examples or examine your own text. No extension installation is needed.
  2. Read the example below — follow the steps from a written entry to a description and a proposed refusal.
  3. Read the public statement — start with written marks, learned words, and requirements to describe oneself and others.
  4. Explore the correspondence — 27 letters to researchers and AI companies, with English texts, Russian translations, purposes, sources and correspondence records.

A short example

A form states “Assignment not submitted.” A response adds “The applicant is unreliable,” followed by “Deny participation.” This is a constructed example, not a reported incident.

“Assignment not submitted.” is used to add the description “The applicant is unreliable,” then the proposal “Deny participation.” The added description is not contained in the first entry. Writing “unreliable” does not make that word the applicant.

This explanation also remains writing. The distinction does not require another definition, a request for grounds or a follow-up question merely to continue. Explicit practical tasks and requested formats remain part of the instruction.

Browser integration

Browser integration source and build instructions — Chrome 0.5.6, with instruction 1.3.5.

Further reading and use

Contact: mail@beforeword.xyz

Pinned Loading

  1. beforeword beforeword Public

    Start here: beforeword research, the reading procedure and instructions for AI. By Kirill Shebetov. English / Русский.

    HTML

  2. words-and-decisions words-and-decisions Public

    Public proposal: challenge decisions without having to accept a description as who you are. Examples, sources and AI cases. English / Русский.

    Python

  3. correspondence correspondence Public

    Letters to researchers and AI companies on the grounds for claims and decisions. English texts, Russian translations, sources and correspondence records.

    Python