You do understand that there isn't just some "ball of ML" sitting on a server forming your feed, right? That's not how ML works at scale. ML is applied to very

You do understand that there isn't just some "ball of ML" sitting on a server forming your feed, right? That's not how ML works at scale. ML is applied to very specific tasks that are pipelined in an intentional and introspectable way. And even at the level of a given model while you might struggle to explain behavior depending on how pedantically you define that, you still know what your reward function was. - This is like saying "There's no point in knowing the source code if you don't have the schematic and microcode for your CPU to know which transistors each line of code is changing the state of"