Advancing the EthFinance FUDBuster AI Bot — Help us to create fine-tuning data and make it smarter!

As many of you may have noticed, there has been mention in the daily discussion threads of an anti-FUD bot which is in the works!

Currently, I have a good training dataset of high quality contributions from this subreddit over the last two years and we're giving that to AI models to pull from for this initial version of the bot. This initial version has been satisfactory as a proof of concept but we need it to be absolutely top-tier before letting it run free in the wild.

To give it a big boost and optimise it for the next generation and a state which we are happy with for a full launch, we would like to fine-tune the bot. Fine-tuning involves a training dataset, which we already have but also a validation dataset. This is where you come in! Validation data comes in the format of questions for the AI and their corresponding ideal answers!

So I will begin posting daily questions for any of you who wish to volunteer to answer so you can directly contribute towards the development of the bot! Meanwhile we will continue to work on other aspects of the bot over the next month such as securing funding, moving to an open source model and increasing the scope of the training data (particularly more diverse sources than just high quality dooted comments but also more up to date data and also some older stuff from the pre-doots era.)

So with that context, I will be posting these questions, one per day in the daily discussion thread for the next wee while. You will find the first one here:

Why are Solana TPS counts misleading compared to Ethereum's TPS counts?

If you'd like to provide an answer to the first question in this series, please reply to the comment in the daily discussion linked above. Credit will be given to all users who create answers that train the EthFinance FUDBuster Bot.