You correctly argue that Objective-Driven AI is the path forward, but the underlying truth is that regulators and the public demand mathematical proof of safety, not statistical probability. If we want open-source research to thrive where everyone can contribute, we must establish a verifiable best practice for safety.
The OHM NI Stack (USPTO App #63/994,444 and #63/997,472) has created the AEGIS Cascade to act as a deterministic constraint on any foundation model. By employing Proof of Agent Work (POAW), we cryptographically force the AI to verify its semantic intent against strict dimensional bounds before execution, providing the hard proof that Objective-Driven AI requires.
We are presenting this technology at the Planetary AI Safety Summit in Vienna (May 2026). Our vision is to solve AI safety by establishing this deterministic proof as an open best practice. We invite you to review the math, contribute your insights, and help protect the future of open scientific research.