I wonder about the feasibility of this. How does an algorithm "that attempts to prioritize nuanced conversations about important topics" work? (Or "to find min

I wonder about the feasibility of this. How does an algorithm "that attempts to prioritize nuanced conversations about important topics" work? (Or "to find mind-expanding threads", for "savage dunks" or "thirst traps of hot new snax"? -- other examples from the post.) I suppose you spend some time with existing tweets and ML and develop a model that can produce a score of some sort on these concepts for a tweet, and then run every tweet through the model and present the high-scoring ones. Of course, you can't just look at individual tweet, which in isolation don't mean much, but also at how it fits into a conversation. (For that matter, I'd be interested to see what a model of a conversation is.) Sounds expensive and quite possibly not accurate enough to be worthwhile. It also seems like a major strategic decision to give third parties every tweet by everyone. It seems like the business changes from being what twitter is now to a message routing backend, and these third parties become what twitter used to be. That's a fundamental shift, that probably devalues the company by an order of magnitude, since they would be dissolving the valuable thing they have -- the social network they have. Just doesn't make any sense to me.