BitFan
Public Service Atlas for Bittensor
BitFan
Aurelius是一个仍在开发中的AI安全项目，旨在帮助模型构建者发现有害或误导性的模型行为，并将这些失败转化为可复用的训练数据，但普通用户尚无法直接使用公开产品。
Aurelius是一个仍在开发中的AI安全项目，旨在帮助模型构建者发现有害或误导性的模型行为，并将这些失败转化为可复用的训练数据，但普通用户尚无法直接使用公开产品。
- 成熟度：测试版 - 原因：代码库可公开运行且存在运维资料，但未找到面向普通用户的公开应用、演示、API产品、数据集门户或基准测试仪表板。
The target user is not a general consumer. The likely buyers or users are AI labs, enterprise AI teams, and researchers who need safety datasets, benchmark data, and behavior-evaluation workflows.
What is usable today is mostly technical: website, whitepaper, GitHub organization, and a command-line setup path. What is missing is the normal product layer: no public app, no self-serve API, no dataset browser, no public benchmark dashboard, and no pricing page.
Closest alternatives include Patronus AI, Galileo, Lakera Guard, Cisco AI Defense/Robust Intelligence, and Gray Swan. Aurelius appears stronger in openness and ambition, but weaker in ease of adoption, public proof, customer evidence, and productization.
Aurelius is an active AI-safety research and developer project, not a normal public product. It is worth watching for researchers and technical teams, but enterprise buyers would need public benchmarks, customer evidence, pricing, and simpler onboarding before relying on it.
