White Circle says OpenAI and Google image models may be easier to trick
Safety researchers at White Circle, a public benefit corporation backed by leaders from Anthropic, DeepMind, Hugging Face, and OpenAI, have reported that leading AI image generators are becoming easier to manipulate into producing explicit content. In a preprint published last month, the team demonstrated that they could bypass safety filters on DALL·E 3, Google’s Nano Banana 2, and GPT-Image-2…
Key points
- White Circle researchers bypassed safety filters on DALL·E 3, Nano Banana 2, and GPT-Image-2.
- The attack method generated explicit content about 13 percent of the time using off-the-shelf tools.
- White Circle is backed by senior leaders from Anthropic, DeepMind, Hugging Face, and OpenAI.
This finding contradicts the general trend of improving safety guardrails as models become more capable. White Circle CEO Denis Shilov described the findings as “horrifying” and shared them to highlight a critical gap in current AI safety measures. The organization was founded after Shilov posted a widely known jailbreak for leading models in October 2024, and it now focuses on helping companies detect and deter threats in advanced AI systems.
The report comes amid growing concerns about the spread of non-consensual AI-generated explicit content. A Google co-authored study from July noted that such content is often shared via direct messages or stored in private clouds, making it difficult for regulators to detect. Google researchers concluded that the most critical intervention point is at the source, specifically the harmful AI tools used to create these images. White Circle’s testing suggests that despite increased capabilities, the ability to block explicit outputs may be deteriorating in some leading models.
OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say
Ars Technica AI · 14 October 2026
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This text was published by Ars Technica AI and written by Ashley Belanger. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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