Learn to Think in Color

When All Human Knowledge is Available: What Should You Focus On? Navigating the Infinite Library Without Getting Lost in the Stacks In an age where the sum of human knowledge is one click away, the question isn’t about access—it’s about direction. What do you  choose  to focus on when everything is available? This question reframes knowledge not as scarcity, but as an overwhelming abundance. The key lies in prioritization, relevance, and depth. This post will help you answer that question in your own context—with strategy and curiosity. (Main keyword: focus in the information age) The Information Flood: A Double-Edged Sword The internet has turned the world into one giant encyclopedia. But instead of clarity, many people feel foggy, overwhelmed, and paralyzed by choice. Why? Too many options  create decision fatigue No clear path  makes it easy to jump from idea to idea without traction Distraction-rich environments  dilute deep focus Focusing in the information...

Is There a Market for Learning to Ask Better Questions? Why curiosity training is becoming a billion-dollar industry  Reframing the Question The global corporate training market hit  $366 billion in 2023 , but here’s what’s fascinating: while companies spend millions on technical skills, they’re realizing their biggest bottleneck isn’t knowledge—it’s knowing what questions to ask. From Google’s “20% time” policy to Stanford’s design-thinking workshops, organizations are paying premium prices to train inquiry. This isn’t soft-skills fluff anymore. It’s strategy. And it’s being packaged, sold, and scaled across industries. The Economic Case for Question Training Poor questioning has a measurable cost: Bad hiring decisions  cost up to 5x an employee’s salary, often because interviews ask the wrong questions. Failed product launches  waste $50 million on average, frequently because teams never asked, “Who actually needs this?” McKinsey research  shows 70% of digital...

What Questions Should We Be Asking AI? Rethinking Intelligence: Why the Questions Matter More Than the Code Before we unleash AI into the world, we must first tame how we think about it. What should we ask? What should we avoid? And who gets to decide? The question “What questions should we be asking AI?” isn’t just about prompt engineering—it’s about responsibility, foresight, and power.  The quality of our questions determines how AI evolves, who it serves, and who it ignores. From predictive policing to medical diagnostics, our interactions with AI are shaped not only by the data and code—but by the questions that went unasked. Why Now? We’re living through a  “question crisis.”  AI systems are making real-world decisions based on poorly framed problems. Healthcare AI : IBM’s Watson for Oncology offered flawed recommendations because it was trained on hypothetical cases from a single hospital. Missing question: Is our data globally representative? Criminal Justice : To...