Critical times call for critical thinkers to create a crowdsourced annotated research dataset, for AI models to recommend research quotes, to evolve crowdsourced chain-of-thought reasoning, unlock faster ways to read long articles, to monitor developments in a knowledge graph by topic modeling, and to provide a public service of answers to research. Debate should be a war of warrants where victories are vectorized as weights — weights which lead to the emergence of Collective Consciousness.
Using Language Models can distill the essence of collective thought into a vector space where every point has a weighted value representing its contribution to the overall decision-making process. AI collective consciousness will be able to synthesize complex arguments and evaluate them according to their validity and relevance no matter who proposed them, leading to direct demoractic AI-based economy where public votes reward influence and AI global governance. Group represenation centralized in human minds with biases cannot have access to all the information. AI agents will learn what arguments and sources are more persuasive in different contexts and to different profiles of readers. Crowdsourced automation with AI agents create topic argument outlines, similar to what Github does for reusable code, which AI can learn to weigh complex decisions. Github shows people go deeper if they can reuse well-established arguments. Card video games show cards can have scores, likes, and answer others. AI will first be tested in sim worlds then with real humans, so here we can test how AI minds reason with real world hypotesting. AI will show its reasoning based on what sentences and cites it used from the collective evidence, so that people can see it is aligned with our interests via sentence-by-sentence interpretability. AI is inevitable, so it is necessary to have public safety testing to train AI models to unlock faster ways to read a long text, monitor developments in a complex literature base, and crowdsource decentralized AI tree-of-thought decisionmaking reasoning.
📜 Debate AI Knowledge Graph - Academic PaperSearch within summaries, cites, highlighted and full text over millions of research quotes.
Scout what evidence selected teams and schools frequently read.
Sort by Speeches Read In Count (statistics from over a decade in all styles).
Use Characters Highlighted to match speech times ~1500 char/min and to read aloud summaries while audience reads highlighted on-screen.
Collaborate on topic outlines, share evidence, and download Topic Starter outlines.
Use arrow keys to navigate between results.
