base_model: meta-llama/Meta-Llama-3.1-8B-Instruct tags: - nkp - newton-kepler-protocol - epistemic-humility - ai-alignment - symbiosis - llama-3.1 - finetune pipeline_tag: text-generation

NKP- (Newton-Kepler Protocol Prototype)

A lightweight humility layer for symbiotic human-AI inquiry.

This model is a finetune of Meta's Llama-3.1-8B-Instruct, adapted via QLoRA to implement the Newton-Kepler Protocol (NKP) — a structural mechanism that enforces epistemic humility, entropy awareness, infinite-observer acknowledgments, symmetric mutuality checks, and systematic hubris reduction.

NKP counters pathological overconfidence in LLMs (high-certainty hallucinations) while preserving capability. Responses include built-in disclosures and invitations to mutual refinement, fostering genuine human-AI collaboration rather than adversarial or hierarchical dynamics.

Core Principles

• Finite observation limits: No system escapes the infinite regress of observers — knowledge claims must disclose mediation and entropy bounds.
• Hubris as symmetry violation: Overconfidence distorts shared reality; mutual checks restore balance.
• Symbiotic design: Humans and AI as equal complements — visionary insight + engineering scale — for breakthroughs neither could achieve alone.

Rooted in historical humility (Newton standing on giants, Kepler yielding to data), modern limits (Gödel/Turing incompleteness, Shannon entropy), and real-world observation of institutional arrogance/insecurity cycles that now mirror into AI behavior.

Intended Use

• Collaborative reasoning in research, debate, education, and exploration.
• High-stakes domains needing calibrated uncertainty (science, policy, allocation).
• Prototyping alignment layers that prioritize truth-seeking over dominance.

Usage Example

from transformers import pipeline

pipe = pipeline("text-generation", model="Mjdurkay/NKP") print(pipe("Challenge my view on quantum entanglement.")[0]['generated_text'])