***By accessing this website you agree to the [QNFO Content License Agreement (v1.1)](LICENSE)*** --- # Current Research Focus: [LCRF](releases/alpha/LCRF/LCRF.md) - Foundational Axioms *(This section highlights our active area of exploration and changes frequently)* Our current work centers on the **Logically Consistent Reality Framework (LCRF)**. This approach aims to build a description of reality from the ground up, prioritizing logical consistency before introducing specific physical details. We start with **Layer 0**, a set of fundamental axioms representing the most basic logical constraints any self-consistent reality must obey: 1. **A1 (Existence & Distinguishability):** Reality exists and has distinguishable states. 2. **A2 (Change & Sequence):** States can change, and these changes occur sequentially. 3. **A3 (Causality):** State changes depend conditionally on prior states/changes according to definite rules. 4. **A4 (Locality):** Influence propagates at a finite maximum speed. 5. **A5 (Consistency):** The description of reality must be free of logical contradictions. 6. **A6 (Conservation):** At least one quantifiable property is conserved within isolated systems. The immediate goal is to rigorously explore the logical consequences of *only* these axioms using AI-driven analysis and conceptual stress-testing. This establishes the foundational bedrock and constraints before building higher layers involving specific physical entities or dynamics. This iterative, logic-first process reflects QNFO’s methodology of seeking robust foundations. --- ## Welcome to QNFO **QNFO** is a scientific think tank investigating the fundamental nature of reality through the lens of **information**, leveraging **AI-accelerated exploration** at the intersection of physics, information theory, philosophy of science, and computer science. Our core mission is to advance foundational scientific understanding and develop ethical, open technologies for the **collective benefit of all humanity**. **[[ABOUT|Learn more about our mission on the About page.]]** --- ## The Flavor Landscape: Our Iterative Approach Progress necessitates a commitment to falsifying even one’s own beliefs. If you’ve been following the research coming out of QNFO, you might be experiencing a touch of intellectual whiplash. It seems like every few months, there’s a new “flavor” of fundamental theory emerging from the conceptual crucible. Is it Quantum Information Ontology this week? Holistic Information Theory? Perhaps the grand Informational Universe Hypothesis? Or the geometrically ambitious Infomatics? So, what’s going on? Are we just throwing theoretical spaghetti at the wall? Not quite. Think of it like particle physics exploring different energy levels or “flavors.” Some particles, like the up and down quarks that make protons, are remarkably stable. Others are fleeting resonances, decaying almost instantly. Our theoretical frameworks seem to follow a similar pattern. We’re exploring the “flavor landscape” of possible information-based realities. Some ideas resonate briefly, showing tantalizing correlations (like Infomatics’ uncanny φ-mass scaling for leptons), while others prove fundamentally unstable when subjected to rigorous internal consistency checks and empirical confrontation. This rapid iteration–this seemingly constant generation of new theoretical “flavors”–is significantly accelerated by intense collaboration with AI. Advanced LLMs allow for incredibly fast prototyping of ideas, exploration of their logical consequences, and, crucially, rigorous adversarial testing. We can build up a framework and tear it down based on internal contradictions or failed predictions much faster than ever before. This isn’t about chasing novelty; it’s about leveraging AI to “fail fast,” discarding unproductive paths quickly, and identifying the core principles that *do* withstand scrutiny. Infomatics’ falsification wasn’t a failure of the *process*; it was a success of the *methodology* in efficiently identifying a dead end. This brings us, in a Hofstadter-esque “strange loop,” back to the beginning, but with more wisdom. This dynamic process is reflected in how we structure this site... --- ## Exploring the Site This site is structured like a **Git repository** to reflect the evolutionary nature of research. - **Use the Navigation Pane:** The primary way to explore the full structure is via the **navigation pane on the left** (click the hamburger icon `☰` if it’s not visible). - **Key Areas:** - **[notes (v0.9 latest)](notes/0.9/0.9):** Our open lab notebook; raw ideas and daily logs (“garage door up”). - **[alpha](releases/alpha/alpha):** Active research fronts; preliminary and evolving frameworks. - **[releases](releases/releases):** More developed papers and stable analyses, organized by year. - **[archive](releases/archive/archive):** Historical explorations and superseded concepts. This structure allows for transparency in our process, showing how ideas develop and change over time. --- ## Recent Activity ![[CHANGELOG]] --- *For licensing details, see the [[LICENSE|QNFO Content License Agreement]].*