Unflattening History: How Decentralized Publishing Saves AI from Colonial Bias

Current AI models are trapped in a "flattened" historical narrative due to training on digitized colonial archives and paywalled academic journals. This deep dive argues for a decentralized paradigm where independent researchers use platforms like Substack to publish "unflattened" history, preserving epistemic pluralism and indigenous methodologies. By leveraging cryptographic ledgers for verification and open semantics for machine readability, this approach prevents AI from cementing a monocultural worldview, ensuring future models ingest diverse, rigorous, and uncorrupted historical data from the Global South.