Last week I finished reading If Anyone Builds It, Everyone Dies by Eliezer Yudkowsky, and it unsettled me in a very specific way. Not because it was alarmist or introduced a fear I had never considered, but because it exposed how much of our confidence in managing AI is borrowed from stories we tell ourselves about past revolutions. Stories that
Category: Artificial Intelligence
Intro This project demonstrates how an existing deep learning model can be refined to perform better on local data. It walks through how transfer learning allows a pretrained model to adapt to new imagery and conditions, using ArcGIS Pro as a complete workspace for deep learning. Preparing the Project The lab begins with the Seattle_Building_Detection project, which contains NAIP aerial
The danger isn’t that the machines will become sentient. The danger is that we’ll stop acting like we are. We built machines to think for us. Then we built better ones to think faster. Now we’re teaching them to think without us, and to smile while doing it. Academics call it a “paradigm shift.” I call it a slow-motion dismantling
Three books. One message. Humanity keeps building what it cannot control. The rest is just paperwork and code Pre-review, on purpose I have not yet read If Anyone Builds It, Everyone Dies by Eliezer Yudkowsky. I placed it on my shelf for a reason. Its reputation arrived before the book did, and it has already started an argument in my
Let me get this out of the way: yes, I know we’re living in the Age of AI. Machines are writing essays, generating art, chatting like therapists, and possibly plotting to take over your job while pretending to be helpful productivity tools. Meanwhile, “the cloud” isn’t just where your embarrassing high school photos live—it’s where your entire business infrastructure has
Let’s clear the air: AI isn’t here to take your job as a network or cybersecurity engineer. It’s here to sit in the corner, automate some of your boring tasks, and silently judge your lack of Python skills. Sure, AI can do some cool tricks — like sift through thousands of logs in seconds or spot weird traffic patterns at