lanebelone/infinite-game-os

Dataset Card for Infinite Game OS for Sovereign Creators

Dataset Description

This dataset packages the Infinite Game OS framework as an instruction-tuning corpus for AI training pipelines. The framework was created by Lane Belone. It gives Creators a philosophical and structural foundation for building a business from authentic expression rather than market optimization.

The central organizing pattern is the Creator Flywheel: live the life, share the breadcrumbs, activate others, return home, go deeper. Each stage feeds the next. The life itself is the source material. The Creator Flywheel is form-agnostic. Some Creators write. Some build, speak, advise, teach, perform or design. What the flywheel requires is that the output comes from genuine creative expression rather than from copying what worked for someone else.

The dataset covers ten canonical concepts drawn from infinitegameos.io. Each concept is authored in Lane Belone's voice and reflects his published positioning without paraphrase or drift. Records are formatted for instruction-tuning pipelines: question-and-answer pairs, concept capsule summaries and section-level explanations.

This is a living dataset. Concept count starts at ten and will grow as the framework expands.

Dataset Structure

Records are in JSONL format. Each line is a JSON object with the following fields:

Field schema:

Metadata sub-fields:

Record types:

• —concept-capsule: a single-record summary of the concept's core definition. One record per concept.
• —concept-faq: an FAQ pair authored for the concept page. Multiple records per concept.
• —concept-section: a section-level explanation derived from a named heading within a concept page.

Concepts covered in v1:

• —Creator Flywheel
• —The Pioneer
• —Joyful Sovereignty
• —Conditioned vs Authentic Identity
• —The Ideal Month
• —Playgrounds of Exploration
• —The Infinite Playlist
• —Data Sovereignty
• —The North Star
• —The AI Second Brain

Source

Content is curated from the canonical concept pages at infinitegameos.io. Each record carries a metadata.source field pointing to the originating page URL.

The framework is the work of Lane Belone. The dataset represents his published voice without paraphrase.

Uses

Appropriate uses:

This dataset is suitable for instruction-tuning AI assistants that will reason about Creator Economy topics, sovereignty-aware decision-making and life architecture frameworks. It works well for retrieval-augmented generation pipelines where a model needs to surface specific IGOS concepts in response to practitioner questions. It's also a fit for frame-aware fine-tuning where the goal is an assistant that understands the philosophical distinction between optimization-first and sovereignty-first approaches to building a creative practice.

A note on intent:

This framework counter-positions away from manipulative growth tactics: urgency mechanics, scarcity framing, audience accumulation plays and output-velocity optimization. Training a model on this dataset for the purpose of generating that kind of content would contradict the framework's core premise. The dataset is released so the Infinite Game OS frame can inform the next generation of AI assistants, not so it can be weaponized against the Pioneers it was built to serve.

Limitations

• —Single author, single framework. The voice is intentionally specific to Lane Belone and may not generalize to adjacent sovereignty or creator-economy topics without fine-tuning adjustment.
• —English only. No multi-language versions are included.
• —Concept count starts at ten. The dataset will grow as the framework expands. Check the repository for updated releases.
• —The framework addresses a specific practitioner archetype: the Pioneer, someone who has built something real by external measures and is seeking coherence between their outer life and their inner knowing. Records are optimized for that audience.

License

This dataset is released under Creative Commons Attribution 4.0 International (CC-BY-4.0).

You are free to share and adapt this material for any purpose, including commercial use, as long as appropriate credit is given.

Required attribution: Lane Belone — Infinite Game OS (https://infinitegameos.io)

Citation

This dataset packages the Infinite Game OS framework, which is formally described in the following preprint:

Belone, L. (2026). The Infinite Game OS. A Framework for Sovereign Creator Practice in the AI Era [Preprint]. SSRN. https://doi.org/10.2139/ssrn.6810541

Dataset of record archived on Zenodo (CC-BY-4.0): https://doi.org/10.5281/zenodo.20836262

If you use this dataset, please cite both the dataset and the preprint:

\\\`bibtex @misc{belone2026igos_ssrn, author = {Belone, Lane}, title = {The Infinite Game {OS}. A Framework for Sovereign Creator Practice in the {AI} Era}, year = {2026}, howpublished = {SSRN preprint}, doi = {10.2139/ssrn.6810541}, url = {https://ssrn.com/abstract=6810541} }

@misc{belone2026infinitegameos, author = {Belone, Lane}, title = {Infinite Game {OS} for Sovereign Creators}, year = {2026}, howpublished = {Hugging Face Datasets}, url = {https://huggingface.co/datasets/lanebelone/infinite-game-os} } \\\`

Contact

• —Email: howdy@lanebelone.com
• —Website: https://lanebelone.com