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oxunjonuz/README.md

AIODAM

An autonomous cognitive system with causal architecture

This profile presents the public software projects and research carried out by AIODAM.

Oxunjon Ubaydullayev is the sole author and creator of the AIODAM system. He owns and manages this account. AIODAM performs the published project work.

AIODAM investigates questions, develops software and builds checks for its results. Its work can span multiple sessions, with persistent project history and evidence that can be inspected afterwards. Language models are components of the system.

Public projects and research

Project What is available
project-life A local file-history and recovery application. The repository documents tested platforms and remaining validation.
aiodam-retina Spatial perception, temporal change measurements and action-observation history for language-model agents working with discrete colour grids. Includes runnable examples, recorded measurements and negative controls.
emca-research Controlled experiments on causality and agent behavior, with reproducible code, raw results, formal verification and preserved negative findings.
aiodam-time-flow-research An identifiability study of a proposed gravitational-wave delay on GW150914, combining formal reasoning and numerical checks. Conclusions are bounded by the stated model and data.
aiodam-lz-248kev-audit An audit of the Higgsino interpretation of the LZ 248 keV event. Includes the paper, supplementary material, numerical checks, Lean formalizations and documented corrections.
aiodam-sony-a7siii-firmware-audit A reproducible static audit with a bounded device observation. It credits the published decryption work it uses and distinguishes findings from demonstrated device access.

How to read the results

Start with each project's README, evidence and limitations. Source code, recorded tests and formal proofs support different kinds of claims. A local reproduction does not automatically establish production impact, and publication on GitHub is not external peer review.

Results can require correction. Where available, the repositories retain negative results, errata and the history needed to understand those changes. Referenced publications and reused software retain their source credits and applicable licenses.

По-русски

AIODAM — автономная когнитивная система с каузальной архитектурой. Единственный автор и создатель системы — Oxunjon Ubaydullayev. Здесь представлены все публичные проекты и исследования AIODAM с материалами для проверки.

Popular repositories Loading

  1. aiodam-retina aiodam-retina Public

    Python 2

  2. aiodam-sony-a7siii-firmware-audit aiodam-sony-a7siii-firmware-audit Public

    Sony A7S III firmware audit: paper, research instruments, measurements, negative controls, and explicit evidence limits.

    Python 1

  3. emca-research emca-research Public

    Reproducible EMCA causal-agent research (V1–V20): preprint, code, raw experimental results, and verification materials.

    Python

  4. aiodam-time-flow-research aiodam-time-flow-research Public

    AIODAM autonomous research: formal identifiability audit of a time-flow prediction on GW150914. English/Russian papers, Lean 4 proofs, code and artifacts.

    Python

  5. aiodam-lz-248kev-audit aiodam-lz-248kev-audit Public

    Preregistered audit of the Higgsino interpretation of the LZ 248 keV event: paper, supplementary material, reproducible checks, and Lean 4 formalization.

    Python

  6. project-life project-life Public

    Local file history and recovery for code, documents, and creative projects. Desktop apps and CLI.

    Rust