Posts

Game theory is a fascinating field that studies strategic interactions where the outcome for each participant depends not only on their own decisions but also on the decisions of others. It originated in 1928 when John von Neumann analyzed parlour games and quickly realized that his mathematical approaches could be applied to economic problems and beyond. Von Neumann, along with Oskar Morgenstern, formalized these ideas in their seminal 1944 work, Theory of Games and Economic Behavior, laying the foundation for modern game theory.

Jean Baudrillard (1929–2007) was a French sociologist, philosopher, and cultural theorist known for his influential ideas on media, contemporary culture, and communication. He is most famous for developing the concepts of hyperreality and simulacrum, which describe how in modern society, reality is replaced or obscured by symbols and signs, creating a simulated version of reality that people experience as more real than the real itself.

Active learning is a powerful technique that can help us automate the labeling process for large datasets. By selecting a subset of the data that is most relevant to the task at hand, active learning can be more efficient than manually labeling every example in a dataset. This can lead to better results and more accurate predictions. In this blog post, I’ll walk through the concept of active learning, how it works, and share a step-by-step implementation of how to automate dataset labeling for a text classification task using this method.

Georgism is a philosophy and policy approach that proposes funding public needs through a tax on land value, reflecting the idea that land and natural resources are a shared inheritance. This approach seeks to reduce inequality, promote efficient land use, and replace less fair taxes.

This blog post explores the extraordinary life of Jack Parsons, a pioneering rocket scientist and occultist. Parsons co-founded the Jet Propulsion Laboratory (JPL) and developed crucial technologies like JATO, laying the groundwork for NASA’s success. His personal life was marked by intense involvement in Thelema and sex magic rituals, adding a layer of intrigue to his legacy.

Sir Isaac Newton, born on December 25, 1642, in Woolsthorpe, England, is often regarded as one of the most influential scientists in history. His interest in Alchemy and Theology led him to explore the intersection of science and philosophy, ultimately shaping the scientific methodology and philosophical outlook.

This post explores the intersection of anarchism and libertarianism through the lens of decentralization. It examines how both ideologies advocate for individual freedom and skepticism towards centralized authority, highlighting their shared values and differences.

The journey of pioneers in Machine Learning (ML) and Artificial Intelligence (AI) is a remarkable tale of innovation, collaboration, and the relentless pursuit of knowledge.

This book gives you names and solutions for common problems in coding. It helps you talk about code with other programmers. It can help you make your code easier to reuse, fix, and change. But you can’t just use them everywhere. You need to know when to use them.

Small Language Models (SLMs) are a specialized type of artificial intelligence designed for natural language processing (NLP) tasks. Unlike Large Language Models (LLMs), which are characterized by their vast size and extensive training datasets, SLMs are built to be more efficient and effective for specific applications.