The Hidden Cost of AI Convenience: Why Your Next Discovery Might Be Your Last
The Gopher Hole That Taught Me Nothing (Because AI Ate It First)
Last month, I discovered a Gopher hole run by a retired systems administrator in rural Montana. It contained 847 text files accumulated over 23 years—network diagrams from obsolete hardware, shell scripts for problems that no longer exist, and hand-drawn ASCII art of the Montana skyline at different times of year.
I didn't discover it myself. An AI summarized it for me in 12 seconds.
It turns out someone built a tool that scrapes and summarizes Gopher holes and Gemini capsules for "convenient consumption." The output was... fine. Accurate, even. But it described the ASCII art as "decorative regional imagery" and completely missed the part where the author admits he'd never actually seen Montana in person. His wife passed in 2001. The skyline was drawn from a photograph she'd left behind.
The AI couldn't tell me any of that. Because the AI wasn't there.
The Architecture of Discovery
Here's what the small web teaches us, if we're willing to learn: the path matters as much as the destination.
When you connect to a Gopher server using curl or load a Gemini capsule in Lagrange, you're not just retrieving content. You're participating in a ritual. You see the menu. You make a choice. You follow a thread. Maybe you get lost. Maybe you find something better than what you were looking for.
This is how knowledge actually works in communities. Not as extracted facts, but as shared experiences.
The developer who maintains a Gemini capsule isn't just hosting files. They're maintaining a presence. When you visit, you're saying: "Your work matters enough for me to show up." When you share a link to their capsule, you're vouching for them. When you build your own capsule, you're joining a conversation that predates the web by decades.
AI summarization collapses all of this into a content delivery mechanism. It treats the small web as a database to query rather than a neighborhood to visit.
What Developers Actually Lose
I'm not here to romanticize inefficiency. Three hours digging through Google for one paragraph? That's not a feature. Stack Overflow in 2008 was a maze of outdated answers and condescending comments. The old web was genuinely harder to navigate.
But here's what we gained:
We learned to navigate ambiguity. When there's no "best" answer clearly ranked at the top, you develop judgment. You learn which forums were trustworthy, which documentation was maintained, which comments were worth reading.
We built mental models, not just solutions. The hours spent understanding why a solution worked meant we could adapt it when things inevitably broke. We learned the edges.
We encountered adjacent knowledge. That random blog post about configuring sendmail taught us something about SMTP that turned out to be useful six months later when we were debugging email delivery in production.
When I ask an AI to "fix my SSL certificate error," I get a working solution in 8 seconds. When I spent three hours reading error logs, forum threads, and documentation that I barely understood, I emerged with a mental model of how TLS handshakes work. The second approach made me a better engineer. The first approach met my deadline.
The Vibe Problem
At NameOcean, we talk a lot about "vibe coding"—the idea that modern development is about expressing intent and iterating, not memorizing syntax or wrestling with configuration files. We believe AI makes developers more creative, not less.
We still believe that. But "more creative" requires something to be creative about.
The small web isn't just a repository of content. It's a landscape of human intention. Those 847 text files in that Montana Gopher hole represent decisions. The author chose what to document, what to share, what to leave unfinished. Visiting his space means engaging with his choices. Maybe you agree with them. Maybe you do things differently. Either way, you're forming an opinion, which is the beginning of creativity.
When an AI summarizes his work, you receive information without encountering intention. You get the output without the context. You can neither learn from his choices nor meaningfully critique them.
A Modest Proposal for AI Summarization
I'm not suggesting we ban AI from the small web. That would be both impractical and counterproductive. AI tools have legitimate uses—accessibility features, language translation, summarizing content in languages you don't speak.
But there's a difference between:
- "Summarize this page so I can decide if I want to visit"
- "Summarize this page so I never have to visit"
The first is a preview. The second is a replacement.
If you're building tools that consume the small web, consider this: the community you're trying to serve will only survive if people visit. A summary that replaces a visit is a parasite on the host. A preview that drives a visit is a mutualist.
Keep the Weird Menus
The original author is right. The small web is small for a reason.
It's not a market failure. It's a choice. People maintain Gopher holes and Gemini capsules because they want to create, not optimize. They want to write for a reader, not feed an algorithm. They want to be found by humans who care enough to look.
If you're a developer, you already understand this. You've seen what happens when a community becomes optimized. The weird discussions get buried under engagement metrics. The passionate creators get outcompeted by content factories. The result is always the same: something that looks like the real thing but has no soul.
The small web is the counterexample. It's proof that a different kind of internet is possible. One where the measure of success isn't reach but connection.
So yes, use AI. Use it to build faster, iterate quicker, solve problems that would have blocked you for days. That's what it's good at.
But when you want to discover something new? When you want to fall down a rabbit hole and come out changed?
Maybe close the chat window. Open Lagrange. Find a random Gemini capsule. Read something weird from someone who never expected anyone to read it.
That's where the good stuff is. And you'll only find it if you go.