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Release Notes
v0.2.0
Second public release of Speedrunning Social Development: How We Can Improve How We Improve (Version 0.2).
This release significantly expands the manuscript to 16 pages (+185 lines of formal exposition), adding:
- Trajectory learning, feedback user training, and formal oracle structures
- Asymmetric actor classes and moral profitability regimes
- Self-balancing visibility mechanisms and proxy-governance sections
- Concrete operationalization connecting the speedrunning meta-improvement framework to Claim Garden (
https://claimgarden.com) and the Verifier Standard (VSTD) architecture - Cleaned LaTeX source and official Zenodo badge integration
Included in this release
- canonical paper source in
paper.tex(v0.2) - canonical comparison figure in
figures/traditional_vs_speedrunning_development_approaches.png - frozen release PDF (
speedrunning-social-development-v0.2.0.pdf) - citation metadata in
CITATION.cff(v0.2.0) - Zenodo metadata scaffold in
.zenodo.json
v0.1.0
First public release of Speedrunning Social Development: How We Can Improve How We Improve.
This release presents a paradigm-shifting conceptual framework for improving how digital systems improve. Instead of optimizing only user-facing features through blunt proxies, the paper argues that platforms should optimize the mechanisms by which they discover failure, absorb criticism, reward contributors, redesign their metrics, and learn from both compliant and adversarial use.
Included in this release
- canonical paper source in
paper.tex - canonical comparison figure in
figures/traditional_vs_speedrunning_development_approaches.png - frozen release PDF for reading and citation
- citation metadata in
CITATION.cff - Zenodo metadata scaffold in
.zenodo.json
Key themes
- user-satisfaction as the intended value
- contributor development and compensation
- leaderboard feedback flywheels
- glitch-hunting as product learning
- Human/Tool x Compliant/Adversarial hypertopology
Release intent
This version is meant to be publicly citable, critique-seeking, and stable enough to anchor a Zenodo DOI. Future versions may refine definitions, tighten empirical positioning, and add stronger pilot pathways without changing the core thesis.