Simplifying AI

Please enjoy this surprise from my AP Literature students. We did use a little AI (in editing), but this is mostly a good old fashioned radio play of A Midsummer Night's Dream by William Shakespeare, but with a Southern Door twist. The fictional WBRU radio station in 1940 broadcasts the play during a storm. We hope you enjoy our Southern Door County "Belgian" twist and the play itself.

In this lesson, we explore the shifting landscape of 2026, where "perfect" has become the baseline and, consequently, the most forgettable thing you can be. We discuss the "AI equilibrium"—a state where cinematic lighting and flawless grammar are no longer competitive advantages but mere background noise. The episode redefines Human in the Loop (HITL) from a technical safety net to a luxury status symbol. We break down the practical workflows of the modern professional, focusing on how to transition from a passive consumer of AI output to a strategic director. By examining the 8% accuracy gap between machine-only and human-guided results, we highlight where the "soul" of work resides. We also introduce the 70/20/10 content diet and the "Sandwich Method" to help you maintain your human signature in a world drowning in high-definition slop.

In this session, we tackle the "Paradox of Modern AI": systems built to sound incredibly intelligent (fluent) before they were built to be reliably truthful. We explore the cognitive architecture behind why AI lies, the specific taxonomy of hallucinations, and the "Epistemic Hygiene" toolkit you need to move from a passive consumer to an active verifier.

In this episode, our avatar hosts explore the "Great Reshuffle"—a period of massive structural rearrangement in the global workforce. We move beyond the "Skynet" headlines to examine the actual economic mechanics of AI: how it differs from the Industrial Revolution, why it might actually reduce wage inequality, and how you can transition from a "laborer" to a "Super Agent."

We often talk about AI as if it’s a weather pattern—something that just happens to us. But today, we pull back the curtain on the "Invisible Architecture." This isn't just about faster emails; it’s about who gets a house, who gets a job, and who gets a fair shake in the 2026 economy.
In this episode, we move beyond the "cool tool" phase and into the "Deep Water" of ethics and equity. From the shocking data on mortgage bias to the global race for "Sovereign AI," We break down why AI literacy is the greatest civil rights tool of our century. If you think AI is neutral, this episode is your wake-up call.

We’ve spent the last nine lessons opening the toolbox—looking at ethics, fears, and basic buttons. But today, we stop looking at AI as a cool party trick and start looking at it as the most profitable skill on your resume.
Brett breaks down the startling new economic reality: The market no longer cares if you can build the robot; they just want to know if you can persuade it to do meaningful work. Backed by recent data from PwC, this episode explores why "AI Swimmers" are commanding a 56% wage premium over their peers and how you can claim that value without writing a single line of code.

We love the "magic" of AI—the white space, the rounded corners, the instant answers that seem to float down from the ether. But the "Cloud" isn't a cloud. It is a factory. It is acres of screaming servers in the desert, millions of gallons of water turned to steam, and human beings in Nairobi filtering out the worst of the internet so we don't have to.
In this episode, Brett calculates the "Ethical Bill" for our AI habits. We move past the abstract philosophy of ethics to look at the physical reality: the energy, the water, and the "Ghost Workers" (RLHF) that make the technology possible. This isn't a guilt trip—it's a guide to moving from a "consumer" to a responsible "operator" who knows the true cost of the machine.

We often think of Artificial Intelligence as a futuristic robot or a confusing chatbot that writes poetry. But the truth is, you are likely already a "Cyborg"—you just don't use that label.
In this episode, Brett explores the concept of "Invisible AI"—the silent, servile algorithms that are already running your life. From the noise cancellation in your headphones to the "magic" that saves your battery life, we discuss how we comfortably embrace AI when it acts as a tool, and why that acceptance is the first step toward developing true "AI Taste."

 Is your computer plotting against you? In 1968, 2001: A Space Odyssey gave us HAL 9000—a polite, murderous AI with a survival instinct. That movie defined our cultural anxiety for 50 years. But in 2026, the reality of Artificial Intelligence looks less like a super-villain and more like an anxious intern who tries to book a dinner reservation at 3:00 AM.
In Lesson 7 of the AI Fluency Series, Brett Hanson debunks the "HAL Myth." We strip away the sci-fi fear to reveal the boring, practical utility underneath. We explain why your AI has zero "agency," why we instinctively say "thank you" to robots, and how to stop treating your tools like people so you can start mastering them like a pro.

We have moved from the era of Search (finding sources) to the era of Answers (synthesizing information). In this episode, Brett explains the massive shift from Google as a "Librarian" who points you to books, to Google as a "Research Assistant" who reads them for you. While convenient, this "Zero-Click" world requires a new set of skills to avoid being misled by "flattened" summaries or hallucinations.