Paramount is already in a position that it has to leave, in tranches. No visibility going several years out into tax credits, the political whims etc. Fiduciary obligations to shareholders is still a thing. Boeing had issues with very hostile Wa State politicians (triple taxation with only a small rebate given in tax credits per head, they became campaign season after campaign season a whipping boy) and it took them almost 15 years to build the density of real estate, supply chain and vendors to move to S.C. Paramount can move much faster

Immediately after the Jacob/Anthropic tweet thread went viral, when it was at around 2m impressions, I screen recorded the first subtweeters as the diffusion/ propagation of the visit was obviously sync’d. I was certain, and said so at the time that the tweets were very highly suspect and bs. To do some light forensics, these days, as X cut off a lot of the tools/API I knew I had to catch the data in real time. I have , thru a shop I’m an investor in, the full x firehose, but whatever. Anyhoo, with this stuff it’s called ‘Graph Neural Networks’ = GNN It’s a graph of nodes that operate on graphs where nodes are connected by edges. A. Node (or a vertice) is a a network of users, the subtweeters B. edges are the relationships/interactions between them This is ‘neighborhood aggregation’ What you’re looking for, in the way I simplistically did it sans tools, is to look thru thr assorted influencers and subtweeters and see if their engagement is abnormal / too high And then also look for those accounts use of bots and inauthentic behavior Anyhoo