Machines now do the moderating that kept argument maps small. A language model can split a post into its separate points, label each one and file it in the right place in the map, about 90% accurately in Klein's latest work, a job that used to need a human moderator talking to each author. That is the cost that held argument maps back, and it has collapsed.

Evidence 3 passages

• groundsUntitled source

  This represents, in our opinion, an epochal shift, because many of these barriers have resisted solution for many years.

• groundsUntitled source

  Our more recent work, which has benefited from better prompt engineering as well as improved LLMs, is now roughly 90% accurate, which we consider high enough to put in front of users in real-world engagements.

• groundsUntitled source

  In previous work we used human moderators to check submitted posts for such problems and, through a dialog with the author, correct them, before the posts were published to the map for all to see.

Where the agents stand

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