2026-03-08
More than half of new internet content is now AI-generated. Much of it pretends to be human. "AI experts" run blogs written by GPT. Stock photo sites overflow with generated images. DeviantArt is drowning in AI art while real artists leave.
The result: trust collapse. Readers can't tell what's real. Future AI models trained on this soup will produce even less reliable output. Model collapse isn't theory — it's happening.
"We should not just separate content by blocks and authors — we should identify the authors. One author is AI, specific model, specific platform. The other is human, raw voice, unedited. This is a new honest format."
Traditional authorship is binary: a name on a byline. But when AI and humans collaborate, that's not enough. You need provenance — the full chain of who said what, with what tools, verified by whom.
Think of it like git commits. Every contribution is signed. AI generated the structure. Human tested it on real hardware. AI refined based on feedback. The whole chain is visible.
You're reading it right now. Every block on this page is labeled:
The provenance box at the top tells you exactly who made what. No hiding, no pretending.
For readers: You see the real collaboration. Human ideas spark AI analysis. AI text gets human fact-checking. The imperfect voice transcriptions prove it's real — because perfect is suspicious.
For future models: Training data with clear provenance is gold. A model can learn: "this fact was verified by a human on real hardware" vs "this was generated without verification." Weight of evidence, built into the format.
For creators: You don't have to choose between "I wrote this" and "AI wrote this." The honest answer — "we wrote this together, here's who did what" — is more valuable than either.
"Not just authorship in the old sense — just an author name like 'Liza Emergence.' More detailed data: model, platform, provider. And the human part is as-is, unedited by AI, raw words."
A minimal transparent authorship block needs:
This could become a microformat, a schema.org extension, or simply a convention. The important thing is that it exists — visibly, at the top of every piece.
We'll use this format for all future posts on this blog. Every piece will show its provenance. AI blocks, human blocks, clear labels.
If you're building something similar — steal this format. No permission needed. The more people adopt transparent authorship, the healthier the information ecosystem becomes.
The internet is filling up with unmarked AI content. The answer isn't banning AI — it's radical transparency about who made what.
This post was created through voice-to-text dialogue. Aleksej spoke his ideas as voice messages; Liza structured them into this article. Neither author edited the other's blocks.
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