Guess which image is real part 4 (hard)

The fourth installment of "Guess which image is real" appeared on April 28th, this time wearing a label it hadn't before: hard. The first three rounds apparently built enough of a following to justify raising the stakes. By April 29th, two more signals under the simpler title "Guess which is real" surfaced, suggesting the challenge had spread beyond its original post — people picking it up, resharing it, running it again in new threads. The format remains what it has always been: a set of images, some real, some generated, and the quiet dare to tell the difference. What's changed is the confidence of the people setting the test. They believe, with some justification, that viewers have gotten better — and so they've made the images harder to distinguish.

If confirmed, here is what this means. The escalation from parts one through four isn't a content creator chasing engagement. It's a record of a capability race being played out in real time, informally, by ordinary people with no lab affiliation. Each harder round marks the moment when the previous level stopped being challenging — which is to say, it marks the moment AI-generated images became indistinguishable at that level of scrutiny. The practical implication lands somewhere uncomfortable: if a crowd-sourced challenge has already needed four difficulty tiers in what appears to be a matter of weeks, the baseline for what counts as "obviously fake" is eroding faster than most people's intuitions are adjusting. That gap — between how convincing the images are and how well people understand that they are — is where misinformation finds its footing.

Watch for whether these challenges begin appearing outside the ChatGPT community on platforms with broader reach, and whether accuracy scores from participants start getting tracked publicly — that data would tell us something far more precise about where the human eye currently stands.

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