Evo+Universal AI: Integrating Genomic Foundation Models with Angelito Malicse’s Three Universal Laws

Abstract Recent advancements in genomic AI, exemplified by models such as Evo, have demonstrated remarkable capabilities in interpreting and generating DNA, RNA, and protein sequences. However, these models primarily optimize computational accuracy without considering broader systemic, ecological, or ethical impacts. This paper proposes a novel conceptual framework—Evo+Universal AI—which integrates the genomic modeling strengths of Evo with Angelito Malicse’s Three Universal Laws: the Law of Karma, the Universal Law of Balance, and the Universal Feedback Loop Mechanism. This integration enables AI systems to operate not only with high accuracy but also with systemic integrity, ecological balance, and holistic feedback, bridging genomic science with universal principles.