OFFICIAL $YNE ANNOUNCEMENT @yesnoerror is in now in public beta and available to all. Some of the world's most advanced AI thinking is hidden in these papers, but with over 500,000 pages of AI/CS research published every month it is impossible to parse and discover alpha. We learned about this problem in detail after talking to AI engineers at organizations such @AnthropicAI @perplexity_ai @Google @Yale @MIT and @CarnegieMellon. This is the first problem we are setting out to solve (but not the last, and perhaps not the most important). We are using the latest AI models, powered by $YNE, to audit and analyze every new paper released on the topic of AI and Computer Science (over 500 papers a day). Today you can: - Browse research from @arxiv trending on @X - Browse the latest papers - Get detailed AI analysis of each paper, including key takeaways, practical use cases, technical summaries, and more. - Filter papers by topic, by author count, and by organization association (example: Just see papers from researchers at @Harvard or Bytedance. - Add a new paper to be analyzed Future developments - $YNE will be bridged to @base (announcement very soon). The technical development of the bridge is complete. - We will increase the journals the @yesnoerror AI audits research from (beyond @arxiv) - Personalized research AI agents individuals, topics, and other desci projects. And for the second problem? We believe there is a fundamental problem with how researchers are financially incentivized and rewarded in society. As @adamdraper says, academia needs to be shorted. To be completely disrupted. The smartest people driving humanity forward need to be aligned with making humanity better, and this needs to be a financial incentive. We are building a tokenized marketplace to tackle this second problem. ...