{"title": "Aiki Wiki - The Win Win Protocol for the World Wide Web", "logoImg": "bafkreia2avlzrkwxnmjgqzzkned4plvdurgygke2536zado4gccrivhvhi", "website": "https://aikiwiki.com", "bannerImg": "bafkreiczu7exgmwi34zwqgdsqdnjytcnlgmbpusev2q3ppewilkfhei6ii", "createdAt": 1692048440801, "userGithub": "JacobCWBillings", "credentials": {}, "description": "Aiki Wiki is introducing programmatic win-win conflict resolution to the web.\n\nThe “Win Win Protocol” facilitates thorough, mutually satisfactory governance transactions or decision making without voting, without any third-party mediation, without censorship nor requiring any advanced AI systems like LLMs.\n\nWe’ve developed an innovative computational algorithm that expertly melds narrative structures with natural conversation and psychological tension. Its aim is to consistently generate win-win scenarios through mutual agreement, thus demonstrating a seamless integration of complementary transactions.\n\nIntroducing the Aiki Wiki protocol, a groundbreaking method for conflict resolution and consensus building, at scale. This tool offers a conversational form of mediation, designed to cultivate consensus within communities on various scales, with adaptability being one of its key traits.\n\nAt present, our protocol showcases a decentralized consensus-building approach. \n\nThe protocol functions by effectively transforming conflicts into resolutions. This process entails one-on-one conversations, moving from a stage of disagreement to a final state of mutual agreement.\n\nThe cyclical dynamic between conflict and resolution forges what could be considered an invulnerable psychological blockchain inside of a community. This unique structure is naturally adept at filtering harmful online elements such as trolling and misinformation, including harassment, while simultaneously making the interaction enjoyable and engaging.\n\nIn principle our protocol can be seamlessly integrated into any digital ecosystem, with far-reaching implications for various fields, including law, governance, social media platforms like Twitter and Discord, decentralized finance structures, art collectives, creative studios and both community and commercial structures.\n\nAlthough our protocol doesn’t require advanced AI like LLM or GPT4, we propose that achieving true AI alignment might be possible when training within the specific scope of conflict and resolution.\n\nCould a single chatbot engage effectively with conflict, steer towards resolution, and guide all disagreements to their optimal outcomes? Could a single chat bot interact with human conversation as the guide towards a win-win transaction in law, governance, studio, community, institution, collective or corporation?\n\nAiki Wiki can bring a logical certainty to these questions.\n\nWe can demonstrate how is this is entirely possible. Indeed, this exciting possibility informs the current evolutionary trajectory of our algorithm.\n\nSymbiquity AI\n\nSymbiquity as coined in this project refers to the ubiquitous distribution  of shared environmental information in perception. These are cognitive properties common to all perspectives, regardless of cultural, ideological, psychological or linguistic differences.\n\nSymbiquity is seen as the naturally occuring and fundamental universal agreement on environmental aspects of our shared reality – for instance, a blue sky is perceived as a blue sky by all observers relative to their position, despite any potential conflicts that might exist between those observers.\n\nFrom this view, all disagreements are paradoxically built upon a foundational level of agreement through naturally occurring symbiquity between viewpoints.\n\nSymbiquity, while shared amongst all viewpoints in a consensus process, is something that is simply not possible for an LLM system to share with us.\n\nWe believe training AI systems to become informed of human symbiquity through conflict and resolution represents the future of LLM ethics, where an AI system is always contained within these narrative boundaries of the “win-win” outcome.", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "AikiWiki", "projectTwitter": "rome_viharo"}