Along This Trail
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Another “Master’s Degree” in Finance: An AI-Assisted Learning Journey
Several weeks ago, I interviewed for an analyst position at a financial institution. During the interview process, I realized there was a gap in my knowledge that caught me by surprise: I wasn’t aware that LIBOR had been replaced by SOFR as the primary benchmark interest rate. It wasn’t a major issue, but it reminded…
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A Long-Overdue Trip to Beantown
When I completed my Master of Science in Computer Science in 2024, I wanted to celebrate in a way that felt meaningful. Rather than taking a typical vacation, I chose to make a pilgrimage to a place that has long represented the pursuit of knowledge itself—Boston. Looking back, it almost felt symbolic. Growing up in…
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Book Review: Contemporary Issues in Audit Management and Forensic Accounting III
In the previous two posts, I summarized the book‘s discussions on Fraud Theory and Deterrence and Detection Tools and Models. The first focused on understanding why fraud occurs, while the second introduced the quantitative models that help auditors identify unusual financial patterns. This final post examines the book’s discussion of Big Data and Technology, specifically…
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Book Review: Contemporary Issues in Audit Management and Forensic Accounting II
In my previous post, I summarized the book‘s discussion of Fraud Theory and Deterrence, which explored why individuals commit fraud and how organizations can reduce the conditions that enable fraudulent behavior. This second post focuses on another major theme covered in Contemporary Issues in Audit Management and Forensic Accounting: Detection Tools and Models. As financial…
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Do You Really Want That Computer Science Degree? A Recent Graduate’s Perspective
A few days ago, I came across an article titled “Do You Really Want That Computer-Science Degree?“ The article sparked a lively discussion online, and one theme appeared repeatedly throughout the comments: there was a time when computer science was the degree to have. For many people who entered the workforce in the 1990s and…
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Will AI Really Take Everyone’s Job? Lessons from The Prediction Machine
A few days ago, YouTube recommended a book-review video by a Chinese content creator discussing The Prediction Machine (published in Chinese as AI Minimalist Economics), a book originally written in English by three economists from the University of Toronto. The video offered one of the clearest economic explanations of AI that I have encountered, particularly…
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From Information to Knowledge: Building a Personal AI Knowledge Base
Over the past few weeks, YouTube’s recommendation algorithm has repeatedly suggested courses on building AI agents. Many of these courses, particularly those created by Chinese content creators, focus on using large language models to automate research, organize information, and create personal knowledge systems. While exploring the topic, I came across a video titled “How to…
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Internal Controls Over Generative AI: Moving Beyond the Framework
Generative AI is rapidly finding its way into accounting, auditing, finance, compliance, and operational processes. As organizations begin integrating these tools into day-to-day activities, a familiar question emerges: How do we maintain effective internal controls when the system generating information can produce different answers to the same question? While reading the June 2026 issue of…
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How an MIT Student Used AI to Learn a Semester’s Worth of Material in 48 Hours
Can AI help compress a semester of learning into a weekend? Perhaps not literally—but it can dramatically accelerate the path from information overload to meaningful understanding. Recently, I came across an intriguing post describing how a graduate student used Google’s NotebookLM to absorb a new subject in roughly 48 hours. Rather than asking the AI…