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I think it is likely that this is the first substantial use of LLMs for adversarially developing an evidentiary record in political reporting. I strongly doubt it will be the last. In particular, the political ecosystem retains specialists in opposition research.
11:41 AM · Jul 16, 2026And thus the "paraLLM construction": ask two LLMs to go to places on the Internet where other-than-disciplined-comments might have been made by participants in a series of meetings, such as e.g. podcasts. Assemble a corpus of hundreds of those documents. Then, dragnet corpus.
11:38 AM · Jul 16, 2026Podcasts without first-party transcripts are only the most obvious place where admissions-against-interest were commonly recorded and persisted for about 15 years, but there are many, many other things that an LLM can figure out how to search. Tech is the worst it will ever be.
11:43 AM · Jul 16, 2026I feel a little awkward doing national political news reporting, since that is not really my skillset/interest or BAM's beat. And yet, I think BAM has far and away the best treatment of a multiyear campaign to weaponize private industry against US political campaign infra.
11:47 AM · Jul 16, 2026View all
I think oppo research firms are at least as capable of using publicly-available software products which cost $200 a month as I am. And after they do, a lot of unexploded ordnance (to use Dave Kasten's memorable analogy) is going to start exploding.
11:42 AM · Jul 16, 2026Hey LLMs do you happen to notice any documents here where meeting participants say something that rhymes with... Oh you do. On Hillary Clinton's podcast, you say. ... He said what.
11:38 AM · Jul 16, 2026