| >Diversified away from ad revenue Ad revenue diversified away from Twitter, and Musk is desperately trying to get any cashflow he can while refusing to pay bills >Introduced breaking changes to accustom the user base to faster development Why is this a good thing, on any planet? "We broke shit on purpose so that you would be used to us breaking shit regularly" >Shrunk a bloated team to die-hards via whaling-and-culling This is a weird way to say "fired anyone who told him that he was being dumb" >Not least, open sourced some recommender system code No he didn't. This one irks me so much. I work with machine learning models every day, and if you were familiar with working with ML, you would easily recognize what was "open sourced" (it's just source available) as just the basic scaffolding code AROUND the model. It would be like if you said you were going to open source your excel spreadsheet of important data, and you just put up the code for OpenOffice on github. You didn't "open source" anything that matters, and certainly not "the algorithm" |
This is the kind of highly emotional reaction that’s not helpful.
Yes, I am quite familiar with building ML models, both training and building my own for which I’ve been paid large sums of money, and I’m here to tell you that you don’t know what you’re taking about.
There’s so much more information about an ML system than just the trained model that is important for understanding the effects of the system on a society, and its legal, ethical, and social ramifications.
Just seeing the type of RS being used, the ranking approach, and the information on SimClusters is enough for RAI folks to start to understand the ecosystem effects and how that can show up downstream in social effects.
https://blog.twitter.com/engineering/en_us/topics/open-sourc...