Physics Reasoning: implicit optics in AI image models
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In PromptFrenzy's 42-run implicit-optics benchmark, Nano Banana 2 passed five of six runs; no other model passed more than one. Finding Google Nano Banana 2 was the only tested model to apply the implied optics reliably, passing five of six runs (83.3%); every other model passed at most one of six. Methodology Two implicit-optics tests used neutral prompts that never named refraction, reflection or the expected effect. Seven models generated three runs per test with no retries. Each run was…
1Key Takeaways
- In PromptFrenzy's 42-run implicit-optics benchmark, Nano Banana 2 passed five of six runs; no other model passed more than one.
- Finding Google Nano Banana 2 was the only tested model to apply the implied optics reliably, passing five of six runs (83.3%); every other model passed at most one of six.
- Methodology Two implicit-optics tests used neutral prompts that never named refraction, reflection or the expected effect.
- Seven models generated three runs per test with no retries.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that in PromptFrenzy's 42-run implicit-optics benchmark, Nano Banana 2 passed five of six runs; no other model passed more than one.
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