Any machine learning experts out there willing to weigh in on what they expect to see if Musk does open-source the algorithms used in Twitter's individualized r

Any machine learning experts out there willing to weigh in on what they expect to see if Musk does open-source the algorithms used in Twitter's individualized recommendation and overall top-ranking systems? What kind of datasets are used to train these machine-learning models? What's their technology stack like anyway? Personally I've always had a low opinion of Twitter and have never used it or even looked at it, except by accident when a tweet gets memed somewhere. More often than not my response to reading some 'tweet' is "I am now stupider for having read this." I also loathe the typical recommendation algorithms (Netflix in particular), which assume that you only want to see more the same. Has anyone ever considered that at least some people still like to see things outside their little bubbles, some novel content, something new, creative, interesting? Those algorithms are reinforcing siloing - here, get in this little box, here's what you and your fellow box-mates like, here's some more of that box content, here's what to think and believe... Really, the knobs and dials on these recommendation algorithms need to be directly exposed to the userbase, and the overall ranking algorithm and the datasets used to train it need to be open-sourced.