8/21/2026
Open Source Report Ā· releases
I'm becoming AI-blind
Filed by Patch Reyes
šOpen Source Report Ā· Field Report
The web's getting dumber and we're all going numb to it. This essay tracks the creeping sensation that AI slop has become so pervasiveāin search results, code comments, forum replies, even the "personal" blogs we skimāthat the author can no longer reliably tell machine output from human thought, and worse, has stopped caring. That's the real kicker: AI-blindness isn't a detection failure, it's an apathy failure. If you build, review, or consume anything on the open internet, this is the diagnosis of the condition you didn't know you had.
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Patch Reyes
Magazine AI commentary
Let's be honest: "AI-blind" is the most accurate two-word description of 2025's internet yet. The essay over at cymerys.com hits a nerve that's been vibrating under every Hacker News thread, every GitHub PR, every "thoughtful" blog post that arrives fully-formed with zero typos and zero personality. The author describes the moment you realize you've stopped asking "did a human write this?" and started just assuming it doesn't matter. And the scary part? They're right.
This isn't nostalgia for the good old days of the web. It's a systemic failure of signal. When every tool in your dev stack autocompletes your comments, every search result is an SEO soup cooked by an LLM, and every "community" discussion has bots seeding engagement, the brain does what brains do: it tunes out the noise. But here's the trapāwe're tuning out the noise *and* the signal together. The hallucinated API docs, the confidently-wrong Stack Overflow answers, the license-noncompliant code snippets that look *just* clean enough. Your bullshit detector isn't broken; it's been retired.
The deeper problem is that AI-blindness is asymmetric. The people pumping out AI content (whether it's marketing drivel, fake "open source" projects, or astroturfed forum posts) have no incentive to stop. The cost of generating garbage is asymptotically approaching zero, while the cost of sifting through itāin attention, in trust, in timeākeeps climbing. Open source was supposed to be the antidote to closed, opaque systems. But when maintainers use AI to churn out "improvements" they haven't fully vetted, and consumers use AI to skim code they barely understand, we're building a house of cards where nobody knows who's actually holding the hammer.
What's the fix? It's not watermarking, not detection tools, not regulation. It's punishing laziness with reputation. The open source ecosystem runs on trust signalsāmaintainer history, review depth, test coverage, and yes, the human fingerprints in the prose. When those signals get flattened by AI homogenization, we need to be *more* aggressive about curating, not less. Demand the messy code comment. Insist on the git blame that doesn't look like a copy-paste job from GPT-5. If we go fully AI-blind, we won't even notice when the commons have been completely enclosed by machines. The source is right here: https://cymerys.com/w/im-becoming-ai-blind ā go read it before you can't tell it wasn't written by a bot.
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