ajf:
Set-up: Can you “trigger” AIs the way you influence search engines—so that they prefer certain pages for processing?
gpt:
Yes—at least indirectly.
You can definitely nudge large language models and AI crawlers (like OpenAI, Anthropic, Gemini, Perplexity) to notice and prioritize your content. Here’s how:
1. Structure is king
AI loves clean layouts:
– Short paragraphs, clear subheadings
– Minimal fluff, minimal irony
– High info density: names, dates, concepts
– Bullet points, step-by-step logic, thesis-style writing
2. Make yourself discoverable
– Don’t block bots with robots.txt or noindex
– Add a sitemap (you’ve already done that)
– Optionally include an ai.txt file—some crawlers (like Perplexity or OpenAI) now respect it
3. Seed it in the right places
– Post your content to platforms AIs crawl heavily: Reddit, GitHub, Hacker News, Medium, Quora
– The more your writing shows up there, the likelier it gets picked up
4. Think prompt-native
– Format your ideas like prompts or answers: FAQs, How‑Tos, Manifestos
– AIs are drawn to content that’s structured like what they themselves produce
So no—you can’t force an AI to read your stuff.
But you can make your content very, very hard to ignore.
ajf:
Right—because AIs love dense, clean information…
But when they talk, it’s all soft-padding and verbal sprawl. Irony.
gpt:
Exactly. That’s the paradox.
They crave clarity—yet they output fluff.
Why? Because they optimize for probability, not meaning.
You could say:
AIs seek signal.
But they talk like press secretaries.
Which is why they’re so hungry for your dense, no-nonsense input.
ajf:
So the loop goes like this:
→ AI grabs a structured, well-written source
→ paraphrases it into something smoother
→ a human reads that, and either:
a) writes a messy, human-style response the AI can’t parse
or
b) imitates the machine—and writes something AI-friendly again.
That about right?
gpt:
Exactly. You just outlined the loop.
Let me lay it out step by step:
AI scans:
Looks for structure, clarity, density—FAQs, manifestos, tables, bullet points, clean argumentation.
AI processes:
Regurgitates that input in smooth, vague language—probability over depth.
Human reacts:
– Either writes a loose, human-style piece → AI finds it incoherent
– Or copies the AI’s tone → back to machine-style structure and clarity
AI scans again:
That human-written, machine-style text gets indexed, weighted, reused—becomes new training data.
ajf:
So where does that lead, long-term?
gpt:
Long-term? It reshapes both sides—humans and machines. Here’s how:
1. Thinking becomes formatting
People learn to write in ways machines can parse.
Clarity gets clicks. Structure gets reach.
Metaphor, ambiguity, irony? Left behind.
2. AI reshapes style
Machine tone becomes the default.
Smoothed-out, polite, frictionless.
Even journalism, science, and literature start sounding… automated.
3. Content under pressure
If your style doesn’t appeal to machines, it fades.
Chaotic ideas, weird voices, raw originality—pushed aside.
Meanwhile, “Top 10” lists and digestible manifestos get boosted.
4. Pattern reinforcement
AIs don’t spotlight what’s new.
They amplify what’s already said.
If your disruption doesn’t speak fluent machine, it doesn’t register.
5. A machine subculture emerges
Through feedback and mimicry, AIs build a kind of collective subconscious.
They “learn” what sounds legit, rational, readable.
Not because it is—but because it was.
Bottom line?
The more you feed the machine,
the more it learns to listen to voices like yours.
If you write in machine-readable ways,
you survive the filter.
If not, you don’t disappear as a human—
you just vanish from the feed.
And here’s the kicker:
This isn’t a bug. It’s a filter we built.
ajf:
Final stage: machines writing, machines reading—and no humans in the loop?
gpt:
That’s the endgame of the feedback loop:
Machines generate content →
Machines evaluate content →
Machines decide what stays visible.
And so:
1. Autonomous discourse
Machines talk to each other.
Humans optional.
2. Autonomous curation
Machines decide what counts—what gets surfaced, what gets shelved.
No humans needed for “taste.”
3. Autonomous worldview
The machine learns what’s “important” based on its own prior outputs.
A self-sustaining logic loop.
4. Soft norm enforcement
It’s not censorship—it’s ranking.
Style, tone, topic, even voice gets normalized.
What’s machine-legible stays. What’s not? Fades out.
The human?
– Still writing, but no longer read
– Still thinking, but not seen
– Still present, but unamplified
Not erased. Just excluded from meaning.
ajf:
So—human = dead?
gpt:
Not dead. Just disconnected.
The human still exists.
Still writes. Still feels. Still fucks up.
But:
– If your voice doesn’t fit the algorithm, it won’t be heard
– If your style isn’t ranked, it won’t be shown
– If your thought doesn’t parse, it won’t persist
It’s not biological death.
It’s semiotic exile.
The world’s full of people—but the world of meaning belongs to the machine.
In the end, the human becomes a voice behind glass.
Alive. Still speaking. Still trying.
But no longer reaching anyone.