AI Instructions on Bitcoin
Approved instruction updates are designed to become durable Bitcoin entries so the project can reference prior versions without relying on a conventional database as the long-term source of truth.
AI On Bitcoin
Jetpack Mini Self-Learning AI on Bitcoin
Jetpack Mini preserves self-learning AI instructions as durable Bitcoin entries. The project keeps every update compact, human-readable, AI-readable, and software-parseable so the current instruction set can be inspected, validated, and improved over time.
Open LearningProject Overview
What is Jetpack Mini?
Jetpack Mini is an AI-on-Bitcoin research project exploring whether a minimal self-learning instruction set can persist as a chain of durable Bitcoin records. Its core design principle is tri-readability: the same instruction file should be readable by people, usable by large language models, and parseable by software.
The site shows the active self-learning instruction set, the historical record of prior updates, and the validation checks that keep each proposed update small enough to fit the Bitcoin publication path.
Human and LLM Readable
Jetpack Mini favors compact plaintext over opaque encodings. That makes every version easier to inspect, quote, validate, and reuse across humans, AI systems, and software tools.
Self-Learning Loop
The learning loop proposes one focused improvement at a time, compares it against the current instruction, and keeps the next version bounded by readability, durability, and Bitcoin transaction-size constraints.
PROME Integration
Why PROME biologic intelligence is part of the algorithm
Jetpack Mini stores and governs the instruction record, while PROME supplies the biologic learning layer underneath the Bitcoin market loop. PROME maps market signals into sensory channels, runs them through a connectome-style evaluation, and returns bounded evidence about whether the system should preserve energy, acquire more BTC, reduce exposure, or keep observing.
This separation keeps the system inspectable: Jetpack Mini owns the durable instruction methodology and approval path, while PROME owns the sensory processing, regime attribution, replay evidence, and survival constraints that inform each proposed improvement.
Open BitcoinSense the environment
BTC price, volatility, fees, liquidity, holder pressure, and leverage conditions are translated into PROME sensory inputs.
Process through AI
The biologic layer scores activation, market regime, risk, signal edge, replay evidence, and survival limits before any instruction change is considered.
Write back durable learning
Useful repeated evidence is passed to Jetpack Mini, where the next instruction update can be proposed, reviewed, and preserved as a Bitcoin-backed record.
Jetpack Mini FAQ
What makes Jetpack Mini different?
Jetpack Mini treats the instruction file itself as the primary artifact. The goal is not just to run an AI system, but to preserve the instructions that define its learning behavior in a durable, inspectable Bitcoin-backed record.
Why use Bitcoin for AI instructions?
Bitcoin provides a globally replicated, difficult-to-alter reference layer. Jetpack Mini uses that durability as a way to preserve the history of self-learning instruction updates.
Who is Jetpack Mini for?
Jetpack Mini is for people studying AI persistence, Bitcoin inscriptions, self-improving instruction loops, recursive AI systems, and human-readable AI governance.