MIT’s New AI “REWRITES ITSELF” to Improve It’s Abilities

In a recent discussion, MIT researchers introduced a groundbreaking framework for self-adapting language models (LMs) that generate their own training data and update their weights, enhancing their performance in real-time. The paper, titled “The Illusion of Thinking,” reveals that current AI models, while powerful, struggle with complex reasoning tasks. This research has sparked debates within the AI community regarding the true capabilities of LMs and their potential future development. The findings suggest a need for a shift in focus towards improving AI models’ ability to handle more intricate problems, rather than merely scaling existing systems.