That's an interesting point. A practical description of the algorithm from the perspective of someone trying to game it may be more useful than anything Twitter or Google would release.
Gesture carries weight to the users too.
Not sure any big company has tried this before. I could be wrong, but either way looking forward to it / FWIW hope it catches on.
The point of releasing it is to let people know exactly why they see the tweets they do in the order they do. I hope Elon just goes back to time base ordering of tweets.
Even the people who build these systems barely know what the algorithm is going to do, much less why. It will be a herculean task to try and convey that to an average user.
And developers will be able to train a model using it on a subset of Twitter data. Just that the quality of the outcome won't be the same as having the full set of Twitter data.
First of all, "the algorithm" is probably hundreds of thousands of lines of code, including all the tedious boilerplate like cache policies and multi-AZ logic.
And second of all, doesn't the algorithm include machine learning components, which are trained on terabytes of data? That data will likely be impossible to open source. And open sourcing the neural nets without the training data is mostly meaningless from a transparency perspective?