Henry Blodget joins Leo Laporte, Jeff Jarvis and Paris Martineau to discuss how AI changes journalism. Blodget describes using models for research, continuity checks and feedback while retaining his own writing; his earlier experiment with separate AI staff personalities proved less useful than expected.
Blodget argues that automated aggregation puts greater emphasis on finding new facts, offering distinctive analysis and maintaining direct relationships with readers. The conversation also considers how journalists can learn their subject deeply when AI can rapidly produce competent research overviews. Blodget compares AI investment enthusiasm with earlier technology cycles without claiming to predict when a correction will occur.
The hosts then debate reported agent-security incidents, open-weight competition and regulatory incentives. Laporte describes a multi-model coding and review workflow with spoken status updates. Later discussion weighs health-information risks, research priorities and prompt injection in hiring documents. These are the participants' accounts and opinions, not independently verified incident reports or medical guidance.
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