👉 The Princeton Project, initiated in the late 1970s, was a pioneering effort aimed at developing an artificial general intelligence (AGI) capable of performing any intellectual task that a human can. Unlike narrow AI, which excels in specific tasks like image recognition or language translation, the project sought to create a system that could learn, reason, and apply knowledge across a wide range of domains. It involved interdisciplinary collaboration among computer scientists, cognitive scientists, mathematicians, and philosophers to explore the theoretical foundations and practical approaches for achieving true human-like intelligence in machines. The project laid the groundwork for modern AI research, influencing subsequent developments in machine learning, neural networks, and cognitive architectures.