🎯Basically, OpenAI is offering money to find ways to make their AI safer from misuse.
What Happened
OpenAI has announced a new initiative called the Bio Bug Bounty for its GPT-5.5 model. This program aims to enhance the safety of AI in biological contexts by inviting experienced researchers to identify vulnerabilities. The challenge is to find a universal jailbreak that can bypass the model's bio safety restrictions.
The Challenge
Participants are tasked with creating a prompt that can successfully answer all five bio safety questions without triggering moderation. The first to achieve this will receive a $25,000 reward, while partial successes may also be rewarded at OpenAI's discretion.
Who's Affected
This challenge is specifically aimed at researchers who specialize in AI red teaming, security, or biosecurity. OpenAI will extend invitations to a vetted list of trusted experts and will also review new applications.
Timeline and Participation
Applications for the bounty opened on April 23, 2026, and will close on June 22, 2026. Testing will commence on April 28, 2026, and conclude on July 27, 2026. Interested participants must have existing ChatGPT accounts and will be required to sign a Non-Disclosure Agreement (NDA).
Why It Matters
This initiative reflects OpenAI's commitment to ensuring that advanced AI technologies are developed and deployed safely. By engaging the community in this red-teaming effort, OpenAI aims to uncover potential risks associated with AI in biological applications, which is crucial for public safety.
How to Get Involved
Researchers can apply to participate in the Bio Bug Bounty by submitting a short application detailing their name, affiliation, and experience. This is an opportunity for experts to contribute to the safety of AI technologies and potentially earn rewards in the process.
In addition to the Bio Bug Bounty, OpenAI encourages participation in their broader Safety and Security Bug Bounty programs, which focus on enhancing the overall security of AI systems.
🔒 Pro insight: Engaging the research community in AI safety assessments is crucial, especially as AI capabilities expand into sensitive areas like biology.
