data poisoning

A new essay argues that large language models and data poisoning techniques are being weaponized by marketers and powerful actors to manufacture artificial consensus and bend public perception of reality. It warns that synthetic content flooding training data and online discourse can distort what appears to be majority opinion, raising concerns about manipulation of AI systems and the information people rely on.

Commenters are arguing that coverage of Iranian AI-generated disinformation serves to legitimise expanded surveillance. The claim is that framing foreign actors as poisoning media with AI builds public support for collecting mass data to detect such campaigns, infrastructure that critics say is then turned against domestic populations. They add that platforms flagging coordinated behaviour train on data gathered under these justifications.