Developed from CTCE/Gebit and TBA; (https://doi.org/10.5281/zenodo.17049651)
CTGV presents a proof of concept (PoC) of cognition through dynamic geometry: an alternative, auditable, and scalable approach to traditional artificial intelligence systems.
Based on topological units (Gebits) of distinct formats—DECISION MAKER, RESONATOR, and INHIBITOR—they model complex relationships in a mesh of notification fields, structural interference, and traceable topological transmission. Its architecture is transparent, energy-efficient, and versatile, operating from simple CPUs using graphs and pictograms, allowing its adaptation to multiple computational substrates.
Designed for applications that disable explanation, robustness, and verification: anomaly detection, logistics optimization, epidemiological simulation, climate simulations, and critical regulated systems—CTGV is a versatile tool that can be tested, adapted, and applied. Available today for study and development in the repository: (https://github.com/Bear-urso/CTGV-System-V-1.5)
The program is a cognitive "mechanism/extension" for governable AI, based on an autonomy framework alternative to blind statistical computing.
Subscribe to Bear
Support Bear
BearCTGV-System-Versions (SOURCE CODE!!!)
BearCTCE — Computing by Electromagnetic Field Topology
A Manifesto and a Technical Introduction
BearGebits and the Code of Sovereignty: A Call for the Decentralized Future
Field Computing and Gebits May Be the Answer CTCE proposes transforming the topology of electromagnetic fields into a new foundation for computation, authentication, and consensus. At its core lies the Gebit — a unique vibrational pattern generated by specific physical conditions, impossible to replicate without the original emitter. Just as DNA uniquely identifies a living being, the Gebit becomes the vibrational signature of a digital and physical entity.Field Signature Each CTCE device is ...
BearLIACC Version 3.2
LICENSE FOR OPEN INNOVATION AND COLLABORATIVE CAPITALIZATION
<100 subscribers
Developed from CTCE/Gebit and TBA; (https://doi.org/10.5281/zenodo.17049651)
CTGV presents a proof of concept (PoC) of cognition through dynamic geometry: an alternative, auditable, and scalable approach to traditional artificial intelligence systems.
Based on topological units (Gebits) of distinct formats—DECISION MAKER, RESONATOR, and INHIBITOR—they model complex relationships in a mesh of notification fields, structural interference, and traceable topological transmission. Its architecture is transparent, energy-efficient, and versatile, operating from simple CPUs using graphs and pictograms, allowing its adaptation to multiple computational substrates.
Designed for applications that disable explanation, robustness, and verification: anomaly detection, logistics optimization, epidemiological simulation, climate simulations, and critical regulated systems—CTGV is a versatile tool that can be tested, adapted, and applied. Available today for study and development in the repository: (https://github.com/Bear-urso/CTGV-System-V-1.5)
The program is a cognitive "mechanism/extension" for governable AI, based on an autonomy framework alternative to blind statistical computing.
Subscribe to Bear
<100 subscribers
Support Bear
BearCTGV-System-Versions (SOURCE CODE!!!)
BearCTCE — Computing by Electromagnetic Field Topology
A Manifesto and a Technical Introduction
BearGebits and the Code of Sovereignty: A Call for the Decentralized Future
Field Computing and Gebits May Be the Answer CTCE proposes transforming the topology of electromagnetic fields into a new foundation for computation, authentication, and consensus. At its core lies the Gebit — a unique vibrational pattern generated by specific physical conditions, impossible to replicate without the original emitter. Just as DNA uniquely identifies a living being, the Gebit becomes the vibrational signature of a digital and physical entity.Field Signature Each CTCE device is ...
BearLIACC Version 3.2
LICENSE FOR OPEN INNOVATION AND COLLABORATIVE CAPITALIZATION
Share Dialog
Share Dialog
No comments yet