The Architect’s Dilemma: Should AGI Still Be the North Star of Artificial Intelligence?
The Architect’s Dilemma: Should AGI Still Be the North Star of Artificial Intelligence? In the winter of 1956, a small group of scientists gathered at Dartmouth College with the audacious conviction that every aspect of learning or any other feature of intelligence could, in principle, be so precisely described that a machine could be made to simulate it. Seventy years later, that "simulation" has become a trillion-dollar industrial complex. We have spent decades chasing the specter of Artificial General Intelligence ( AGI )—a machine that can do anything a human can—as if it were the natural, inevitable conclusion of the computer age. But as the first truly autonomous agents begin to manage our calendars and write our software, a quiet, heretical question is beginning to circulate through the faculty lounges of Stanford and the boardroom of OpenAI : Is a "general" mind actually what we need, or have we spent seventy years chasing a metaphor that no longer fits th...