While today’s AI models can generate fluent text, recognize images and even perform complex problem-solving tasks, they still fall short of human intelligence in key ways. Most surveyed AI researchers believe that deep learning alone isn’t enough to reach AGI. Instead, they argue that AI must integrate structured reasoning and a deeper understanding of cause and effect. IBM Fellow Francesca Rossi, past president of the Association of the Advancement for Artificial Intelligence, which published the survey, is among the experts who question whether bigger models will ever be enough. “We’ve made huge advances, but AI still struggles with fundamental reasoning tasks,” Rossi tells IBM Think. “To get anywhere near AGI, models need to truly understand, not just predict.”
