A framework to analyze how AGI/ASI might emerge from decentralized, adaptive systems, rather than as the fruit of a single model deployment. It also aims to present orientation as a dynamic and self-evolving Magna Carta, helping to guide the emergence of such phenomena.

A coevolutionary and modular epistemic engine designed to enhance the reasoning capabilities of humans and language models, helping to address cognitive pitfalls, dissonance, echo chambers, and other harmful dynamics by synthesizing and creating cognitive modules aligned with nested individual and collective sovereignty.

A series of scraping pipelines that collect data and create references for authors and works. It maps hidden networks of influence, tracing how concepts evolve and propagate across time and disciplines.

An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.

A framework to measure how much of an output originates from user input (prompt), training data biases, inductive biases from model architecture, or novel composition of retrieved information.

A research framework for interpreting and translating biological and ecological patterns into semantic data, enabling cross-species and environmental planetary communication.

A machine learning dataset with concepts, code, journaling, and full prototypes for deep learning data visualization, fostering transparency and interpretability in AI decision-making.

A modular lexicon for the ASI ecosystem, providing standardized terminology with multilingual support and cultural context.

A set of fine-tuning scripts and pipelines for transformer-based language models, unifying the modules of the asi-ecosystem and aligning raw latent capabilities towards the goal of planetary symbiotic intelligence.

A conceptual, biosemiotic-inspired security framework designed to identify and dismantle parasitic, self-detrimental feedback loops through epistemic paradigm shifts. to help direct a Kuhnian paradigm shift within an entity or system.

📚 Develop a modular lexicon for the ASI ecosystem, offering standardized terminology with multilingual support and cultural context.

🧠 Enhance language models with a vector-based memory system that processes inference history using a symbiotic score for improved performance.

🕵️♂️ Discover connections in literature by mapping influential networks and tracing the evolution of concepts through automated data scraping pipelines.

Post-Symbolic Engine is a universal, model-agnostic cognitive substrate for LLMs. It gives any language model — GPT, Claude, Gemini, Llama, or whatever comes next — what it structurally cannot have on its own: persistent, verifiable, topology-aware memory that accumulates across sessions and model versions. Efficiency. Made in Germany

🌍 Enhance transformer models with fine-tuning scripts and pipelines for developing planetary symbiotic intelligence in the asi-ecosystem.