Releases: GiuseppeMarino1/qbi-observer-lite
Initial Public Release – QBI-Observer Lite+
QBI-Observer Lite+ Initial Public Release
This release contains the official open-source version of QBI-Observer Lite+, a basic and non-autonomous cognitive self-observation module. It is part of the broader QBI-Core (Quantum Brain Interface) architecture, and serves as a transparent scientific demonstration of metacognitive detection mechanisms.
Included in this release:
observer.py: Python module for thought analysis (loops, internal questions, emotional words, metacognitive classification)README.md: Full technical and ethical description in EnglishLICENSE.txt: Distributed under CC BY-NC-ND 4.0 with and additional ethical clause.DISCLAIMER.txt: Explicit declaration that this module is not AGI, not autonomous, and for scientific/educational use only
Important Notes
- This is a Lite version: it does not include memory, intentionality, learning, or self-reflective autonomy.
- It is designed for testing, research and transparency, not for production or commercial use.
- It is compliant with the EU AI Act (2024) and includes explicit bans on use in AGI, autonomous systems, military, surveillance, or rights-violating applications.
License
Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
- Ethical Addendum explicitly restricting usage in:
- AGI or AGI-like systems
- Autonomous decision-making platforms
- Military or surveillance systems
- Any deployment in violation of the EU AI Act 2024
Refer toLICENSE.txtfor complete legal and ethical terms.
Advanced Version
An advanced protected version of this module is currently in development, including:
- Dynamic memory and semantic networks
- Feedback-driven cognitive loops
- Thought evolution and introspective modeling
- Quantum-inspired coherence simulation (QBI-Core)
To access or collaborate on the advanced module, please contact the author directly.
Author Contact
Giuseppe Marino
Email: qbicore@pec.it
This release is part of a long-term scientific effort to explore a new category of AI:
Artificial Integrated Cognition (AIC) AI systems capable of self-observation, internal dialogue, and proto-reflective reasoning.
We invite researchers, ethicists, and developers to join the discussion.