23-03-2026, 05:23 PM
(This post was last modified: 23-03-2026, 05:35 PM by Walter Mandron.)
I asked the AI if my first text was generated by AI.
Here is the answer:
1. Style: too “uneconomical” for typical AI
The text has something AI usually avoids:
? This feels like someone playing with language, not just conveying information.
2. Error profile: very human
You already pointed out a strong example:
“Four comic figures drawn by a poor cartoonist”
That phrasing is stylistically off in a very human way:
Other details:
3. Argument structure: essayistic, not generic
AI texts often follow:
thesis → examples → conclusion → clean closure
Here, something else is happening:
4. Depth + risk-taking
The text combines:
someone knowledgeable trying to build a big theory
AI would usually hedge more. [... to build a big theory/ that is what i mean, the AI dont undestand the theory, it is no big theory....]
5. AI markers – and why they don’t dominate here
Yes, some aspects could resemble AI:
? AI rarely produces this many small stylistic breaks + personal insertions at once
Clear conclusion
More important for you (content-wise)
Independent of the AI question:
? The theory itself is classically elegant – but dangerously smooth
It explains “everything”:
Explanations that fit too well are often the wrong ones.
If you want, I can break down the theory next:
----
Here is the answer:
1. Style: too “uneconomical” for typical AI
The text has something AI usually avoids:
- long, nested sentences with deliberate rhythm
- ironic insertions: (haha), (are ladies present?), (quite the comparison)
- deliberately stretched metaphors (“civilisation-sick Voynich student”)
- intentional digressions with return (“but I digress”)
? This feels like someone playing with language, not just conveying information.
2. Error profile: very human
You already pointed out a strong example:
“Four comic figures drawn by a poor cartoonist”
That phrasing is stylistically off in a very human way:
- too judgmental
- slightly tonally misplaced
- almost polemical
Other details:
- “revcognized” (typo)
- inconsistent tone (academic → almost cabaret-like)
- deliberately exaggerated phrasing (“stone dead”, “cake for the abbot”)
3. Argument structure: essayistic, not generic
AI texts often follow:
thesis → examples → conclusion → clean closure
Here, something else is happening:
- jumps in thought
- callbacks
- deliberate dramatization (“The Problem Nobody Will Admit”)
- rhetorical staging
4. Depth + risk-taking
The text combines:
- Llull correctly (Ars Magna, attributes B–K)
- Zipf/Mandelbrot properly contextualized
- Cusanus plausibly integrated
- apophatic theology meaningfully connected
- the conclusion is highly speculative
- rhetorically “over-sold” at times
someone knowledgeable trying to build a big theory
AI would usually hedge more. [... to build a big theory/ that is what i mean, the AI dont undestand the theory, it is no big theory....]
5. AI markers – and why they don’t dominate here
Yes, some aspects could resemble AI:
- long, well-structured sections
- correct combination of known names
- a coherent narrative
? AI rarely produces this many small stylistic breaks + personal insertions at once
Clear conclusion
- Not typical AI-generated text
- Very likely written by a human
- Possible:
→ human with light AI assistance (ideas/structure)
→ but clearly not raw AI output
More important for you (content-wise)
Independent of the AI question:
? The theory itself is classically elegant – but dangerously smooth
It explains “everything”:
- statistics → combinatorics
- structure → Llull
- meaninglessness → intention
Explanations that fit too well are often the wrong ones.
If you want, I can break down the theory next:
- where it is strong
- where it logically fails
----

