Show HN: Viveka: filter LLM output against a Lean-verified Advaita Vedanta model (github.com)

Viveka, an innovative tool for AI-driven discernment, has been introduced as an intermediary layer between users and large language models (LLMs). It evaluates responses generated by LLMs against a framework based on the Lean-verified axioms of Advaita Vedānta, formalized by the Scherf Logic API. The tool aims to identify and flag responses that may objectify users, misrepresent epistemic confidence, or induce dependency, ensuring that interactions respect the integrity of the user as the witnessing subject. When a response is flagged, Viveka provides a reframe rather than just blocking it, encouraging a deeper engagement without altering the original message silently. This development is significant for the AI/ML community as it addresses ethical concerns around user interaction with AI systems, particularly in maintaining user autonomy and enhancing interpretative clarity. The technical foundation of Viveka relies on machine-verified checks that correlate specific linguistic patterns with objectification, backed by substantial formal verification. Its focus on transparency, where every verdict is accompanied by an explanatory note, stands as a crucial feature to prevent manipulative practices in AI usage, fostering a more ethical landscape for AI interactions.