_Aryatsuki

Great to see @yesnoerror and $YNE in the official DeSci report from @binance

ANNOUNCEMENT: We are going to lock our 90mil @yesnoerror / $YNE dev tokens this week. Stay tuned. Audit science. Accelerate humanity. Seek truth. 👍👎🚫

People hide the truth for two reasons: 1) It's an accident (not intended) 2) They are lying (for gain: power, profit, or reputation). Examples: - Scientists publish incorrect conclusions - Governments hide true motivations - Corporations conceal vital information So what do we do about this??? We are building an AI agent to catch these errors and deceptions. It’s called @yesnoerror, and it’s powered by the $YNE token. We're starting with auditing all scientific research ever published. This is a massive undertaking with considerable potential for impact on the world. This is clear when you look at the types of high powered people following @yesnoerror: @pmarca @rachelmetz @chamath @gregosuri @davemorin @ericabrescia @BraytonKey @adaugelli @MarioNawfal @Rewkang @cuysheffield @GalaBNB @peter + many more. So, what is @yesnoerror? How does @yesnoerror work? Can anyone build @yesnoerror? Who will pay to use @yesnoerror? I'm going to answer all of these questions right now. What is @yesnoerror? @yesnoerror is as truth-detecting watchdog: it sifts through data, spot-checks public statements, and flags suspicious claims. How @yesnoerror Works We have created an AI framework that orchestrates multiple AI agents to analyze information, fact check it, and uncover any errors and discrepancies. First the document is selected, an AI summarizes it, saves it to memory, and analyzes it to rank the potential for errors. If the document has a high likelihood of having errors it is then sent to a more powerful PhD level AI that checks for errors and discrepancies. If this AI discovers errors these are then verified by a human. The results are then saved to memory and shared publicly. This can be applied to any type of information, big or small, public or private. Nobody has built this before. Can Anyone Build @yesnoerror? No. You can build a very basic version, but due to the scale of information we are processing we are creating proprietary data sets and fine-tuned models that are not available anywhere else. The better our system becomes, and the more data it processes, the more people and organizations will benefit from utilizes our technology. In short, the more it is used the more useful it will be for more people to use. This is called "Network Effects". We have been building with AI for almost 10 years and we were one of the first to get access to AI from @OpenAI @AnthropicAI and @Google. Who Will Pay to Use @yesnoerror? - Individuals who want to uncover errors or discrepancies in their own work, or others. - The public who want to pool together to uncover the truth about topics they care about such as COVID, mRNA, microplastics, investment opportunities, and government agenda. - Organizations looking to uncover errors or discrepancies in very large data sets. @yesnoerror is a first of it's kind AI agent that is focused on finding out what is true, and what is not, and making that information available to all. First and foremost this is a public good. We are going to audit everything. And then you will be able to audit anything. We're starting with science, but the world is full of information that needs oversight. The opportunity, both for public good, and for discovering alpha and driving revenue, is huge. We are 30 days into building this. Onwards. 👍👎🚫