For the JARPI bot, no matter how hard you spin those texts manually, they won't be original, and have you considered the amount of posts this bot will be posting per day since it triggers every time someone asks a question, or are there limitations I'm not aware of, this AI thing is getting out of hand, these tools would render some of our education sector useless, resulting in the loss of jobs if nothing is done now.
I haven't ran JARPI ever since the manual experiment earlier last week.
Okay, what were the response speed and success rate? I appreciate the time and effort you have put into this, but I'm concerned that this bot will hijack every thread and post thousands of times per day, this is one part you are yet to address.
Well firstly, report handling times are exactly the same as manual reporting, so that's one.
I don't intend to unleash the bot on autopilot and find threads to post in on its own.
Generative AI is not sophisticated enough for that yet. I would need to train a homegrown neural network on all recent Bitcointalk posts, but that is very difficult because I don't have all the posts locally (yet).
Also the bot is bottlenecked by how fast I can solve Cloudflare captchas. Maybe 10 at once before I rip my brains out.
I'm not quite sure of the resource requirements such a neural network would require, but if it's large or even possibly average, I believe it's not worth it considering the negative perception of this protocol.