Thought
Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision
Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…
Beyond RAG: Building a Knowledge Management System That Enhances Rather Than Replaces Thought
I’ve been thinking a lot lately about where Zettelgarden fits into the long history of how humans manage and interact with knowledge. From Socrates worrying that writing would destroy memory, to today’s debates about AI-generated content, we’ve always struggled with how much of our thinking we should outsource to tools. While building Zettelgarden, I’ve had…