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)
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discuss.huggingface.co — original article
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