Epistemic Stress Test — Muse Spark 1.1 validated by MarCognity-AI

MarCognity-AI released Muse Spark 1.1, a model validated using its Skeptical Agent to detect 'epistemic fracture'—the gap between confident-sounding text and verifiable claims. The tool aims to make hidden unverifiable assertions visible in AI outputs.

I ran responses generated by the model and passed them through MarCognity-AI’s Skeptical Agent. Not to judge the models. Not to compare outputs. But to make visible what usually stays hidden: the gap between how confident a text sounds and how verifiable it actually is. Even technically correct answers contain claims that cannot be traced back to any source. That gap has a name: Epistemic Fracture. Github: https://github.com/elly99-AI/MarCognity-AI.git https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fgithub%2Ecom%2Felly99-AI%2FMarCognity-AI%2Egit&urlhash=SyMr&mt=koSW7k3kAVZ6-JHlIZpg4KLqNvWcvbVFkSLGOhA-Xr-TU38b7UjuF1XyPEVzFDQ0iNkFIIkK14XCx5Cj1xkVg0n-abHMz9gIc0Bfp-0B7dUS6X2iD9kL6 BBD4OhgE2fJO1N oXizxAb-quu8CKWVT3UxZntLKZHxo&isSdui=true Zenodo: https://doi.org/10.5281/zenodo.20509721 https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fdoi%2Eorg%2F10%2E5281%2Fzenodo%2E20509721&urlhash=GQLj&mt=ikljFmDRpNudU4aRouaNVkq9N7HIoG3oZgUg j8DmMUKk9bnD9UXzXgvPsxhSrJ 0rfoRSdfIvOrFeF0tVKW4afDQGNaQXDbVwCmP5F-ce5u2o3 D3ojkFmSkwmA3SD65VDTLAdQO5 0IXZxFa18Jvo8omR56lAbDWY&isSdui=true