My summer reading always includes listening to Stephen Jay Gould’s The Mismeasure of Man. I discovered Gould in 1984 and have been a lifelong fan of his essays and books. Especially this year, I have been thinking more and more about intelligence and the really weak definitions of it that characterizes our understanding of it. Read More
103: Ownership of Knowledge and AI It is July 2025. “The MIT Article” is all anyone is talking about. This is the article on arXiv.org in which researchers compared the essays written by those using ChatGPT, web search, or only their brains. It is a long and interesting preprint article. The article is surely of Read More
There is a paper that has been causing lots of chatter recently. It is a paper released by authors from the Massachusetts Institute of Technology and it suggests that using generative AI (in this case ChatGPT) has important effects humans write essays. Folks who I associate with are educators and technology experts, so they have Read More
In the rapidly evolving landscape of artificial intelligence, the conversation often centers on cutting-edge algorithms, computational power, and the impressive feats machines can now accomplish. But what happens when these incredibly capable systems need to operate in the messy, unpredictable world of human beings? In Chapter 13 of “Possible Minds,” titled “Putting the Human into Read More
I just discovered this from a piece I wrote about 10 years ago. It seems timely given today’s fascination with generative AI. As has been established, the instructionism of the 20th century was designed to transfer information into student’s brains. Educative experiences necessitate a more sophisticated purpose for teaching. Data and information, which are the Read More
Prompts can be composed of text, images, or both, depending on the model. Fundamentally, prompts get converted into tokens, and the quality of this initial input strongly influences the relevance and accuracy of the model’s response. While there’s no single formula, effective prompts often contain elements like keywords, guidelines, formatting instructions, and examples. Several techniques Read More
Retrieval-Augmented Generation (RAG) Generative AI (GenAI) has burst onto the scene, capturing global enthusiasm and driving the next wave of digital transformation. At the heart of many GenAI applications are Large Language Models (LLMs), powerful AI models trained on vast amounts of text data to understand and generate human-like text. LLMs, like OpenAI’s GPT series, Read More
91: Large Language Models Large language models, or LLMs, represent a notable advancement in the field of artificial intelligence. These models are a central topic of any discussion of generative AI which aims to provide an introduction to their workings and significance. Understanding LLMs involves grasping their fundamental principles and the components that enable their Read More
AI Literate or AI Idiot The title of this post deserves an explanation. I wish I were sufficiently clever to have come up with it, but it was crafted by a student. Ernie is a community college student who chairs the Artificial Intelligence Club at the school and has been a collaborator in our efforts Read More
78: Generative and Traditional AI Artificial intelligence (AI) has been a part of our lives for years, quietly powering everything from search engines and product recommendations to curated music playlists and predictive text on our phones. Recently, however, the world has been active with discussions about AI, specifically generative AI, which has captured public interest Read More