The Digital Press

A group of researchers argues that treating artificial general intelligence (AGI) as the primary goal of AI research is counterproductive and limits progress. They identify several pitfalls of AGI-focused discourse and call for more specific, pluralistic, and inclusive approaches to AI goals.

Why it matters: Prioritizing AGI narrows research focus, potentially stifling innovation and effective solutions to diverse societal challenges.

The big picture: The paper highlights six traps caused by AGI emphasis, including illusion of consensus and exclusion of varied perspectives.

Bottom line: The AI community should move beyond AGI as a singular aim, embracing multiple valuable objectives and interdisciplinary collaboration.

Commenters say: Many agree that AGI hype distracts from practical AI benefits, urging more nuanced goals and broader inclusion in research agendas.