According to Deep Tide TechFlow, Andrew Kang, co-founder of Mechanism Capital, stated that the combination of AI and cryptocurrency technology presents revolutionary opportunities for the review of scientific papers. The crypto project @yesnoerror is developing an AI model to review 90 million research papers, having already reviewed over 1,700, with an error rate of about 3-4%.
AI can complete literature processing work that would require 45,000 human years in just a few weeks, at a cost of only 1% of traditional manual auditing, approximately $30 million. The project is developing a model to assess paper quality, generating standardized quality scores for each paper, taking into account factors such as methodology, logical consistency, and data integrity.
This will help distinguish high-quality papers and may promote better research by establishing rankings for universities and research institutions. Furthermore, the AI model is expected to revolutionize the peer review process and may ultimately replace manual reviews. Kang stated that he has been supporting the project's operations behind the scenes, with his position not being the focus.
