Joshua Achiam calls for source citations and expert accuracy scores in AI coverage
Overview
Joshua Achiam, an OpenAI researcher posting as @jachiam0 on X, says news outlets should cite and link primary textual sources in technology coverage.
He also says quoted experts should carry trackable accuracy scores beside their names, so readers can see whose forecasts proved correct.
In a separate post on October 29, 2026, Achiam argues that media treats whoever is most prominent on the anti side of a technology debate as an expert, even when that side is wrong. He says these skeptics mislead the public and face no penalty after the debate resolves. He cites Ed Zitron as an example, and a reply to his post says Zitron's AI predictions have been proven wrong. The reply's claim is not confirmed in the reports.
Written by AI from the articles below · updated Oct 29, 3:19 PM ET
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Developments
2 developments
- Oct 29, 3:15 PM ET · 1 articleJoshua Achiam calls for media source citations and expert accuracy scoresJoshua Achiam: Joshua Achiam calls for media source citations and expert accuracy scores
- Oct 29, 3:07 PM ET · 1 articleAchiam says media treats prominent AI skeptics as experts despite wrong predictionsJoshua Achiam: Achiam says media treats prominent AI skeptics as experts despite wrong predictions
Article timeline
The articles in this story. Times are ET.
Joshua Achiam@jachiam0XJoshua Achiam calls for media source citations and expert accuracy scoresAIJoshua Achiam argues that news outlets should cite and link primary textual sources in technology coverage. He also says quoted experts should carry trackable accuracy scores shown beside their names, so readers can see whose forecasts prove correct.
Joshua Achiam@jachiam0XAchiam says media treats prominent AI skeptics as experts despite wrong predictionsAIJoshua Achiam argues that media treats whoever is most prominent on the anti side of a technology debate as an expert, even when that side is wrong. He says these skeptics then mislead the public, and no penalty falls on them after the debate resolves. The post cites Ed Zitron, whose AI predictions a reply says have been proven wrong, as an example.
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