I haven’t shared my writing here in about two months. It’s not because I ran out of things to say. It’s because life has a way of quickly filling in all the cracks. Responsibilities to be a good partner, parent, and friend demand prioritization. Other things take a back seat. In the margins, I’ve been spending more of my limited “free time” simply trying to keep up with the pace of technology, especially artificial intelligence, and especially AI as it relates to security.

In security, you can’t protect what you don’t understand. Understanding is more than familiarization with buzzwords. It means having a tangible grip on the fundamentals, like how systems are built, how architecture fits together, how the tools actually get used day to day, and what happens when you introduce them into a real organization with real constraints. That takes a lot of time.

One problem is that the stream of new information never slows down. The news cycle keeps accelerating, the breakthroughs keep stacking. Every week there are new model announcements, tool feature releases, frameworks, security vulnerabilities and incidents, and another great think piece trying to explain what it all means. All this creates the feeling that if you miss a day, let alone a week, you’ll fall behind in a way you can’t recover from. Like one fatal pause is all it takes to be permanently out of date.

I’m searching for a solution. My brain immediately goes to time management. The obvious answer is to build a stricter schedule, something more disciplined than what I’m used to. But that’s where the irony hits; building and maintaining a schedule itself feels like yet another task added to an already demanding routine. When everything arriving in your inbox and feed feels urgent, deciding what to ignore starts to feel like a risk instead of a productive choice.

So I keep circling back to a question that feels both practical and risky: should I be using AI to keep up with AI? Should I let a tool summarize, filter, rank, and surface what matters so the firehose becomes something a human can actually drink in? On paper, it sounds like the only scalable move.

But there are real tradeoffs. Even if you set aside hallucinations and accuracy issues, there’s a bigger concern that I will sacrifice too much of my curiosity to the algorithms. If AI becomes the gatekeeper of what I read, I may get efficiency, but I might lose spontaneity. I might miss the odd article, the unexpected connection, the random discovery that ends up being the most valuable part of learning.

Meanwhile, my writing has slowed, but my ideas have not. Now I’ve got an unwieldy number of notes, some great, some half-baked, all scattered across different places, all in different states of completeness. That’s where I feel the imbalance most, between input and output. I can try to read and absorb and keep up, but if I’m not capturing the best thoughts and shaping them into something clear, it starts to feel unsatisfying, almost wrong. This is not because everything needs to be published, but because insights that aren’t articulated tend to evaporate. They don’t become useful to me later, and they definitely don’t become useful to anyone else.

The real challenge is building a life that has room for both: enough input to stay sharp and informed, and enough output to help make the learning stick and bring more value to the world.

So this is me admitting I need to take hold of my thinking and my time in a way I haven’t done yet. Not with some fantasy schedule that assumes endless energy, but with a realistic system that protects space for writing, reflection, and follow-through. Keeping up is important, but turning what I learn into something tangible is how I make it mean something more. That is how the flood becomes progress instead of just noise.

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