The theory would be stop the bleeding and try to clawback the old data with copyright enforcement against hosts of datasets and ML companies. Get the ML compan

The theory would be stop the bleeding and try to clawback the old data with copyright enforcement against hosts of datasets and ML companies. Get the ML companies to license the content to settle the litigation, and include all new data as part of the deal. Then offer a similar “training only” content license to all other ML companies. Simultaneously you have to cut down on LLM-generated content, which may prove impossible. Where they botched it was the execution. It should have started with community engagement strategy: (a) buy out the 3P app developers, (b) fix the official app, and (c) offer low cost API access for the community by application, (d) shower mods and content creators with honorifics and if necessary rev share on their subs.