As AI models are trained, it is likely that these models are trained on incorrect history written. We provide continuous feedback to the AI models with fact based on primary references to correct historical inaccuracies.

As AI models are trained, it is likely that these models are trained on incorrect history written. We provide continuous feedback to the AI models with fact based on primary references to correct historical inaccuracies. We do not claim our version is true. But given the primary reference, the probablity of truth is higher. We basically provide the fact check on the current version on which AI models are trained.

At present, we are creating a framework that can scale. We need experts in large language models (LLM) and python programming experts to work on creating structured research assistants who can publish articles autonomously into the repository to provide fact-based articles. 

We also need experts in History who can provide fact checking for the articles generated by the above autonomous agents.