Motivation is the core challenge of AGI; MAGUS takes it further by embedding adaptive goals, ethical modulation, and dynamic decision-making into Hyperon.
Funded through @DeepFunding, this project pushes AGI closer to systems that can evolve responsibly in unpredictable worlds.
How should decentralized intelligence decide what it values?
The Modular Adaptive Goal and Utility System (MAGUS) project, funded by a @DeepFunding Hyperon AGI R&D grant, introduces an innovative approach to AGI motivation by integrating hierarchical goal structures, dynamic modulators, and ethical adaptability.
MAGUS blends advanced psychological theories with OpenPsi’s dynamic modulators, enabling nuanced decision-making while allowing free goal growth and regular adjustments.
This framework bridges human-like and alien digital motivations, creating a scalable system that evolves ethically and pragmatically in unpredictable environments.
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