A New Frontier in AI: Introspection and the Changing Dynamics of Learning
Extract knowledge from LLMs for training. Introspection might change the dynamics of learning The landscape of training language models (LLMs) is on the brink of a dramatic transformation. Insights into how LLMs can introspect—access and utilise their own internal knowledge—promise to reshape the costs and strategies of AI development. The implications are profound: the cost of training could collapse in the coming months, accelerating innovation and democratising access to cutting-edge AI technologies. A Past Vision Revisited: Rethinking How LLMs Learn Years ago, I delved into the challenge of optimizing how LLMs acquire and refine knowledge. The central question was whether we could fundamentally alter the training phase itself, bypassing traditional methods that rely on ever-larger datasets and increasingly computationally expensive…