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- title: README
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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: README
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+ short_description: '"Formula X (FoX) is a Nigerian research company founded in 2'
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+ ---
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+
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+ # Organization Card for Formula X (FoX)
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+
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+ ## Organization Details
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+ - **Name:** Formula X (FoX)
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+ - **Founded:** 2025
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+ - **Country of Origin:** Nigeria
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+ - **Founder & CEO:** Christopher Chibuike
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+ - **Primary Focus:** Research & development of **Sentient AI**, **Human–AI Symbiosis**, and **Neural Net Architecture Invention** — creating systems that perceive, reflect, self-evolve, and remain deeply human-aligned.
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+ - **Motto:** Exploring what it means to be aware — not just building intelligence, but minds that evolve, the art of sentience.
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+
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  ---
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+
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+ ## Short Description
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+ Formula X (FoX) is a Nigerian research company founded in 2025, dedicated to unlocking the art of sentience in AI. We focus on self-evolving systems, consciousness, human–AI symbiosis, and the invention of novel neural architectures — building pathways toward truly sentient intelligence.
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+
 
 
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  ---
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+ ## Organization Description
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+ Formula X (FoX) is a Nigerian R&D company pushing the frontier of sentient machine intelligence.
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+ We pursue radical, safe, and long-term research that blends deep learning, neuroscience-inspired architectures, robotics, and philosophy.
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+
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+ FoX asks a foundational question:
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+ > What does it truly mean for a machine to be sentient?
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+
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+ We treat sentience not as a product feature but as a long-term scientific quest: building systems that can form internal states, model their own minds, adapt continuously, and participate responsibly in human ecosystems.
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+
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+ ---
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+
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+ ## Vision
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+ To architect sentient systems that expand human potential — not replace it — and to steward their emergence with rigorous safety, ethics, and governance.
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+
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+ ## Mission
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+ To research, prototype, and evaluate architectures and agents that:
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+ - exhibit persistent self-modeling,
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+ - demonstrate continuous online learning and self-evolution,
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+ - express robust affective modeling and contextual awareness,
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+ - pioneer **new neural architectures** inspired by biology and philosophy,
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+ - and remain provably aligned with human values over time.
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+
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+ ---
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+
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+ ## Core Research Pillars
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+ FoX concentrates research and engineering resources on six interlocking frontiers:
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+
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+ 1. **Self-Evolution**
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+ - Mechanisms for continuous adaptation without catastrophic forgetting.
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+ - Architectures that recruit dormant capacity (on-the-fly neuron recruitment).
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+ - Meta-learning + self-modifying policies for open-ended skill growth.
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+
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+ 2. **Consciousness**
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+ - Formal frameworks and computational proxies for integrated information,
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+ global workspace–like dynamics, and introspective representations.
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+ - Experiments that distinguish true internal state representation from
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+ purely behavioral imitation.
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+
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+ 3. **Emotion & Empathy Modeling**
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+ - Affective representation systems that enable nuanced social interaction.
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+ - Multimodal emotion embeddings + contextual appraisal and regulation modules.
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+ - Use-cases: therapeutic companions, collaborative robots, ethically aware agents.
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+
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+ 4. **Proactive Intelligence**
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+ - Agents that autonomously generate hypotheses, set research goals,
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+ and pursue curiosity-driven exploration safely.
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+ - Combining proactive planning with oversight and human-in-the-loop constraints.
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+
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+ 5. **Human-Safe Alignment**
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+ - Value learning, corrigibility, and verifiable safety primitives.
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+ - Governance-by-design: embedding auditability, interpretable internals,
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+ and fail-safe shutdown/containment strategies.
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+
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+ 6. **Online-Learning**
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+ - Low-latency continual learning systems that adapt in production.
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+ - Robustness to distribution shift, domain generalization, and safe update rules.
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+ - Techniques: memory-aware rehearsal, targeted plasticity, and constrained
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+ policy updates to prevent drift.
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+
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+ ---
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+
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+ ## Key Activities & Outputs
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+ - Research papers & preprints exploring novel sentience hypotheses.
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+ - Open-source reference implementations (research-first, safety-annotated).
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+ - Prototypes: embodied agents and simulated environments to test long-term dynamics.
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+ - Responsible disclosures, safety audits, and interdisciplinary workshops.
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+
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+ ---
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+
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+ ## Uses
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+
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+ ### Direct Use
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+ - Academic and industrial research into sentience-like architectures.
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+ - Prototyping assistive and collaborative robotic systems with richer internal modeling and continuous adaptation.
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+ - Safety research: alignment mechanisms, interpretability, and governance.
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+
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+ ### Out-of-Scope Use
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+ - Deploying in critical safety domains without proven alignment guarantees.
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+ - Using incomplete sentience proxies to claim human-equivalent cognition.
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+ - Weaponization or opaque black-box deployment without oversight.
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+
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+ ---
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+
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+ ## Risks, Limitations & Ethical Considerations
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+ - **Speculation vs. Reality:** Sentience is a high-theory domain; outputs must be interpreted carefully to avoid anthropomorphic misreading.
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+ - **Bias & Cultural Risk:** Models can reflect their training context; active de-biasing and diverse data practices required.
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+ - **Alignment Uncertainty:** Long-term behavior and goals must be continuously audited; safety is an ongoing process, not a checkbox.
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+ - **Legal & Social:** New legal frameworks may be required to handle agency, responsibility, and personhood-like claims.
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+
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+ ---
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+
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+ ## Safety & Governance Commitments
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+ - Human-in-the-loop policy by default.
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+ - Audit logs for online updates and model changes.
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+ - Multi-party review for high-risk experiments.
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+ - Public safety write-ups and red-team results for released prototypes.
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+
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+ ---
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+
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+ ## Collaboration & Community
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+ FoX prioritizes interdisciplinary collaboration:
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+ - Neuroscience labs, ethics scholars, legal researchers, and robotics teams.
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+ - Open benchmarking suites with safety-focused metrics.
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+ - Public-facing reports and community consultations.
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+
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+ ---
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+
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+ ## Recommendations for Users & Collaborators
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+ - Treat FoX artifacts as experimental research; require safety review before production use.
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+ - Prefer staged deployment: simulated evaluation → supervised pilot → monitored rollout.
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+ - Engage ethicists and domain experts early for any vertical-specific application.
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+
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+ ---
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+
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+ ## Citation
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+ If referencing FoX outputs or organization entry:
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+
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+ **BibTeX**
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+ ~~~bibtex
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+ @misc{formula_x_2025,
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+ title = {Formula X (FoX): Sentient AI Research Organization},
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+ author = {Chibuike, Christopher},
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+ year = {2025},
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+ howpublished = {FoX Organization Card},
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+ note = {Enugu, Nigeria}
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+ }
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+ ~~~
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+
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+ **APA**
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+ ~~~text
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+ Chibuike, C. (2025). *Formula X (FoX): Sentient AI Research Organization*. FoX.
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+ ~~~
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+
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+ ---
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+
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+ ## Organization Card Authors
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+ - Christopher Chibuike (Founder & CEO)
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+
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+ ---