The Power of Reading and the Future of Action-Driven AI

The Power of Reading and the Future of Action-Driven AI

Introduction:
In a world driven by knowledge and innovation, the act of reading has emerged as a crucial tool for personal growth and understanding. As renowned investor Charlie Munger once said, "In my whole life, I have known no wise people who didn't read all the time." Reading allows us to tap into the wisdom and insights of others, enabling us to learn from their mistakes and successes. In this article, we will explore the importance of reading and how it can shape our lives. Additionally, we will delve into the exciting advancements in the field of artificial intelligence (AI) and how an action-driven approach is shaping the future of AI.

The Power of Reading:
Reading is not just about the number of books we consume, but rather the quality of the knowledge we absorb. It allows us to master the best ideas and insights that others have already discovered. While it is important to start books quickly, it is equally vital to give up easily on those that fail to captivate us. Life is too short to waste on reading bad books. Skimming through a variety of books helps us filter out the ones that deserve our complete attention. The Levels of Reading, ranging from reading to entertain to reading to master, provide a framework for approaching different types of texts. By understanding the purpose behind our reading, we can allocate our efforts accordingly.

Reading for Absorption:
Reading speed may be a vanity metric, but what truly matters is what we absorb. Each time we choose to read something new, we sacrifice the opportunity to re-read the best books we have encountered. Returning to the books that have deeply impacted us allows us to deepen our understanding and make new connections. Writing about what we read is an effective way to solidify our learning and uncover any gaps in our understanding. By connecting new knowledge to old, we can expand our intellectual horizons and continue learning.

The Future of Action-Driven AI:
The field of AI is rapidly evolving, with exciting advancements on the horizon. The ReAct model, as outlined in recent research, takes an action-driven approach to AI. By iteratively going through the steps of thought, action, and observation, the model can act as an agent that chooses actions. This action-driven approach bears a striking resemblance to the concept of Artificial General Intelligence (AGI). LLMs (Large Language Models) have already demonstrated their ability to perform better at question-answering tasks when prompted to "think step by step." However, by leveraging external cognitive assets and fetching data from external sources, these models can achieve even greater results. This approach addresses the resource gap and expands the possibilities of AI.