Month: January 2026
-
Why Your AI Assistant Might Be Wrong—Even When It Sounds Confident
Probability is not truth. Imagine this. 100 people sit in a Zoom call (painful, I know). On that call is one expert. Let’s say they’re an expert in LLMs. They understand the transformers architecture, they know how dot products work, they understand embedding distances, etc. Let’s say the other 99 people are the village idiots.…
-
So What? Setting up Claude Cowork
Summary In today's episode, I walk through how to set up and use Claude Cowork on the Mac desktop app to automate complex multi-step marketing projects like building a newsletter growth strategy. Here's what this means for you. You gain a repeatable framework for turning messy business tasks into structured AI workflows that run autonomously…
-
You Ask, I Answer: AI Generated Code and Ethics?
Summary In today's episode, I examine the ethics and legality of using AI to replicate software functionality. Here's what this means for you. You gain clarity on the boundary between copying protected code and using uncopyrightable ideas. You'll also learn these concepts: how legal and ethical frameworks differ, how AI threatens subscription-based business models, and…
-
How Automation Transformed Farming—and What It Means for Your Job
Here’s 2 people fully harvesting 30 acres of wheat in an hour. That’s a John Deere X9 1100 Combine Harvester. It’s gigantic, the width of a small house. It cuts, threshes, and winnows all in one step, pouring the finished grain into a grain hopper. For those unfamiliar, harvesting wheat is a pain in the…
-
You Ask, I Answer: Should AI Imitate Emotions?
Summary In today's episode, I explore the ethical implications of AI imitating human emotions and how to demystify these machines. Here's what this means for you. You gain a clearer understanding of AI by learning to look past the illusion of consciousness to the underlying math. You'll also learn these concepts: how running local models…
-
Stop Wasting Money: The Smart Way to Use Multiple AI Models for Maximum Results
Plan big, act small has never been more important. This is Principle 27 in my book, Almost Timeless: 48 Foundation Principles of Generative AI. In the last month, we’ve had 3 MAJOR foundation model releases: GPT-5.1, Gemini 3, Claude Ops 4.5. These new models are incredibly capable. They’re super smart. They’re also really compute and…
-
You Ask, I Answer: Liability for Autonomous Agents?
Summary In today's episode, I examine the question of who bears liability when autonomous agents act unpredictably or cause harm. Here's what this means for you. You gain a clearer understanding of why human operators remain legally and morally liable for the AI tools they deploy. You'll also learn these concepts: how automated processes differ…
-
Why Google’s AI Integration Strategy Is Beating OpenAI’s Model-First Approach
OpenAI is declaring Code Red, but they’re boxed in. Literally. ChatGPT and similar products exist in a box that isn’t connected by default to anything. Anthropic wisely has cozied up hard to Microsoft, with MS Office documents as part of their native skills and connectors to everything they can possibly connect to. And Google… well,…
-
You Ask, I Answer: Cognitive Atrophy and Critical Thinking?
Summary In today's episode, I examine whether AI causes cognitive atrophy and how humans can maintain critical thinking skills in an automated world. Here's what this means for you. You can navigate the rise of AI by using it as a cognitive amplifier rather than a mental substitute. You'll also learn these concepts: how biology…
