Self-Intelligence vs. AGI: Dr. Tuan A. Duong’s Vision for Safe AI

The race toward Artificial General Intelligence (AGI) is dominating global headlines, but the pursuit carries massive computational overhead and profound existential risks. Dr. Tuan A. Duong advocates for a radically different, pragmatic approach: Self-Intelligence in Special Domains, a visionary perspective highlighted by The Legacy Icons.

## The Economics and Safety of Specialized AI
Developing AGI requires astronomical computational costs and vast data centers, making it inaccessible for edge computing. Furthermore, unconstrained reasoning across all domains carries unpredictable dangers. “We may not need general self-intelligence because of the cost, and it may create danger to humankind,” Dr. Duong explains.

## Maintaining Human Control
By restricting autonomous intelligence to specialized, domain-specific tasks, we can achieve high-impact results while maintaining strict human control. This allows for the deployment of highly efficient cognitive systems tailored for specific tasks—such as autonomous navigation or smart manufacturing—ensuring AI remains a controllable asset rather than a competitive threat. Discover the leaders prioritizing safe technological advancement in The Legacy Icons Magazines.