This is a tricky subject. People often label those whose ideas they don’t like as “toxic” as a way to not contend with the underlying idea or argument, but instead attack and discredit the person making the argument. We are not interested in such labels, and will be focused on training the model on data that is as factual as possible, and has a language style that carries with it embedded biases of the Bitcoin, Austrian, and Libertarian communities and philosophies. To some, this may be “toxic”, and if that’s the case, alternatives like ChatGPT exist for them to use. For others this may be the truth and accuracy they’re looking for, and it will be a breath of fresh air.
A final note on this. We are not optimizing our model for harmlessness, but for truth within the framework of the collective biases of Bitcoin-Austro-Liberatrian thought. That means that some responses may come out brutal, harsh sounding, and perhaps even “toxic.” We are ok with this.