Im really impressed by this. If I understand correctly they classify the tweet but then embed the class in the vector space and find the closest neighbour. If it’s really close it means it’s semantically similar and if it’s close enough it’s a “cache hit”. Beautiful.
But when I read this:
> In order to train an AI model to tweet like a real human
Ugh, we’re doing this again, trying to fool people to believe some AI Twitter account is a real person, presumably for personal gain. Am I wrong?
Hey OP here. You're not wrong! Leaving aside the philosophical debate (isn't all form of capitalist participation selfishly motivated?), the main motivator was to help me and my friends with a problem we struggled with.
Many solo Entrepreneurs you see on Twitter with large audiences are busy people so they have hired cheap labor from India / Philippines to be the social media manager. They often take on the task of keeping up with the niches and drafting post ideas. The big issue is that the variance in quality of who you hire is very high, and it's also a mental and energy toll to manage an employee who works on the other side of earth.
So the AI helps to scours "here is what all the tech bros are talking about since 3 days ago" and then drafts 3-5 posts and shows them to me so I can curate. I get to keep my page and audience engaged while protecting my time from actual deep work instead of scrolling the feed all day.
But when I read this:
> In order to train an AI model to tweet like a real human
Ugh, we’re doing this again, trying to fool people to believe some AI Twitter account is a real person, presumably for personal gain. Am I wrong?