Knowledge without reasoning is inert—you can’t do anything with it. But reasoning without knowledge can turn into compelling, confident fabrication.

Even though our AI models were trained by reading the whole internet, that training mostly enhances its reasoning abilities—not how much it knows. And so, the performance of today’s AI is constrained by its lack of knowledge.

GPT models are actually reasoning engines not knowledge databases.

Knowledge databases are as important to AI progress as foundational models

People who organize, store, and catalog their own thinking and reading will have a leg up in an AI-driven world. They can make those resources available to the model and use it to enhance the intelligence and relevance of its responses.