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Education & Reference

Two Eyes Arguing

Last updated 2026-07-30 · benchmark measured 2026-09-16 — deterministic & reproducible

An interactive experiment where two AI eyes debate everyday moral dilemmas in real time.

67/100
7/7 frames
Top 80% of 14,181 measured
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-09-16 · scores move as sites change

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To cite this score: legit.show/s/orb-eye-ten-vercel-app/2026-09-16. That address never changes; this page moves with every re-measure.

Legit.Show scored Two Eyes Arguing 67/100 on 2026-09-16, measured across all 7 frames from its public surface. legit.show/s/orb-eye-ten-vercel-app/2026-09-16

Is Two Eyes Arguing production-ready?

Legit.Show scores Two Eyes Arguing 67 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Two Eyes Arguing (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who it's for

Sociologists · AI researchers · Students of ethics · Anyone curious about moral reasoning · Educators

Sources and updates

Description
Taken from orb-eye-ten.vercel.app's own website on 2026-07-30.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-09-16.

Put together from public information, without Two Eyes Arguing's involvement. If anything here is wrong, tell us and a person will check it.

Visit Two Eyes Arguing → · Alternatives to Two Eyes Arguing → · How this was measured →

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