In contrast, AI FOR LIFE by Celia Quillian offers “100+ Ways to Use Artificial Intelligence to Make Your Life Easier, More Productive…and More Fun!” PC Magazine recently interviewed the author and begins by quoting her: “Approach AI with curiosity, not fear.” Quillan, who has been featured as a commentator on AI by several business publications, begins by discussing “getting started with generative AI” and then offers numerous helpful suggestions (e.g., “explain it to me like I’m 12” or “ask me 10 questions to better guide your response”) in a chapter titled “Prompting 101.” From there, she delves into using AI and devotes a chapter to each of the following areas: Home Life; Food, Health, and Wellness; Career Development; Personal Finance; Personal Growth and Learning; Relationships; Travel; and Fun and Entertainment. Using travel as an example, readers will find a series of helpful suggestions for personalizing destination ideas (e.g., What is the best time of year to travel? What are some must-do activities? What is the estimated cost per person?), planning road trips, and exploring local cuisine. This should help users new to AI because her prompts are often quite instructive and specific, like this one: “Could you identify 10 upcoming events or performances in and around Philadelphia's music, arts, or nightlights scenes in May 2025? Make note of the date they are happening and provide a brief description of the event.” Packing tips, local etiquette, and translation are other topics she explores in that travel chapter. My teaching experience has reinforced the view that people learn best when they are pursuing a task relevant to them – Quillian highlights numerous ways to experiment with AI in a personally meaningful way. Although her text is not up-to-the minute (e.g., no reference to Deepseek), she does provide information on several models and AI FOR LIFE should propel readers to a better understanding of the benefits and limitations of AI.
This important topic was just addressed in an Atlantic article, “What Happens When People Don’t Understand How AI Works?” by Tyler Austin Harper. Coming full circle, he references Bender and Hanna, expresses concern about the industry’s “tradition of anthropomorphizing,” and argues that large language models “do not think and feel but instead mimic and mirror.” And laments further about “minimizing attention spans, literacy, and social cohesion.” Much to reflect upon and consider.