Had a long dev call reviewing the new @yesnoerror $YNE AI agent framework today, when we spin this up we will be able to process 1 million research papers with the snap of our fingers + it will be able to autonomously choose which papers it analyzes based on it's objectives.
OFFICIAL ANNOUNCEMENT: @yesnoerror is joining forces with @BIOProtocol & @LongCovidLabs to help accelerate Long COVID research.
For the first time ever, the @yesnoerror AI agent will not only be looking for errors in papers, but will also be analyzing these research papers for information and insights in order to assist researchers in finding treatments for the 100M+ Long COVID patients in the world.
This marks an important expansion beyond just error processing. Leveraging our unique AI agent framework, @yesnoerror will be doing research of its own.
We are excited about the potential of this type of initiative and are exploring it as a future use case that could be replicated in other areas.
The focus of this @yesnoerror research includes:
• Reading and analyzing every research paper related to COVID and Long COVID
• Identifying errors in Long COVID studies
• Discovering trends and common findings across research
• Try to identify potential drug targets for treating Long COVID, by looking at compounds treating acute COVID-19 infections that can be re-purposed for Long COVID
• Making research data on Long COVID more accessible
All of this will be shared publicly as the research is processed, available to anyone in the world who may find it useful.
More information will be made available as we roll this out.
We continue to focus on initiatives that are possible with today's AI capabilities. Thank you for your support; we are looking forward to sharing more as we build out this system.
As AI improves, and as we process more data, the impact potential of @yesnoerror will only grow.
Onwards.
👍👎🚫 $YNE
We will be feeding trillions of research data points to the @yesnoerror AI agent. We have only just started on this journey. Our progress to date is insignificant to where we are going.
Much to do.
$YNE