I look forward to the quasi-spam slurry of infiniscroll feed crap once growth hackers start trying to game the algorithm to get more traction for their project. I don’t think you can introduce a recommendation algorithm without it having a negative effect on the content it’s supposed to aid discovery of. Pre-recsys, the content is made for human consumption, but once you add the recsys, the AI itself becomes part of…
What exactly does "optimizing for Github recommendations" mean? I'm not writing and debugging 10,000 lines of C just to farm Github stars. It seems crazy to think anyone would change how they work for that. Whereas, people on Youtube/Twitter/Facebook/etc. really do change their videos or writing to spread better.
Any metric the algorithm uses will be subject to being gamed in some way.