Being is Becoming
Whatever Research Can Be,
That is What It Must Become.
If AI is Humanity's Last Invention,
Then Vector Space is the Final Frontier.
Javascript Docs (airesearch.js.org) Live Demo (qwksearch.com)
Critical times call for critical thinkers to create a crowdsourced argument reasoning dataset, for AI models to recommend research quotes, evolve crowdsourced chain-of-thought reasoning, unlock faster ways to read long articles, monitor developments by topic modeling a knowledge base graph, and provide a public service of answers to research.
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. AI will show its reasoning based on what sentences and cites it used from the collective research, so that people can see it is aligned with our interests via sentence-by-sentence interpretability. AI Research Agents recommend articles for human researchers working alongside AI to develop a summarized topic outline as a public service. The agents monitor for any related articles via web searches for keywords associated with that Argument Topic Model. For example, imagine uploading several academic PDFs, then the app finds the citations full text and creates topic model and keyword summaries, then monitors that literature base and stores highlights. People will make personal knowledge bases of what influences them online in news and research to create AI assistants with deep knowledge of their mind-uploaded perspective. Similar apps that show this is needed are Anthropic, Obsidian, SciSpace and Perplexity.
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