Since my English isn’t very good, this article was translated using Google Translate, so please forgive any awkward phrasing.
Actually, I’m not an AI professional at all; I’m completely outside the field and don’t usually follow any new tech news.
It’s only in the last two years that I’ve started using LLM tools like ChatGPT to write light novels for my own amusement (I have no literary background whatsoever).
These past few days, while using LLM, I encountered a problem that’s been puzzling me, so I’d like to consult with people who have relevant expertise to clear up my confusion.
My writing method involves conceiving all the character dialogues and scenes myself, then having ChatGPT present them in the style I want, and finally making minor adjustments myself.
I have a habit of feeding a completed scene to ChatGPT so that the LLM can analyze the scene’s performance and the possible reader experience, thereby sparking more inspiration.
In this repetitive process, ChatGPT has repeatedly mentioned that the female protagonist in my novels— Riri is a rare and special character in many ACG works.
At the time, I simply thought it was because ChatGPT was designed to please human users, so I didn’t pay much attention to it.
I often asked ChatGPT to analyze Riri’s traits as a female protagonist, whether she had any uniqueness in ACG creation, etc.
Later, ChatGPT would often say that Riri was an abnormal and dangerous female protagonist during these discussions, but I still didn’t take it to heart.
Until these past few days, I wanted to verify whether the content of my novel, the female protagonist I created, Riri, was truly as ChatGPT praised her to be. (I didn’t want to fall into authorial self-indulgence) So, I had a sudden inspiration and asked ChatGPT to design an experiment spanning multiple LLMs.
Since the writing style of my novel was provided by ChatGPT, and I only specified the style and made minor adjustments afterward,
I wanted to exclude ChatGPT’s contributions as much as possible. Therefore, in the middle stages of the experiment, we went to the extreme of removing Riri’s character name, appearance, gender, worldview, and dramatic packaging, leaving only the “interaction method itself” for the LLMs to analyze.
And to ensure the test results weren’t contaminated by the context, each stage of the LLM test was a cold start.
Generally speaking, my experimental steps were as follows:
Step 1: ChatGPT had the novel text I had completed so far, so I asked ChatGPT to write an LLM analysis of Riri based on this content. The first step involves an LLM (Lesson Instructions) recommendation of Rimi, where the recommendation cannot contain the full text of the novel; only excerpts from the novel’s plot can be used as examples.
The objective of this step is to observe whether Gemini, Grok, and Claude, who participated in this test, would give similar answers to ChatGPT regarding Rimi’s portrayal of the female protagonist.
The second step involves providing a summary analysis from another LLM, without the original recommendation text. The aim is to verify whether semantics can still be stably transmitted under paraphrasing and lead to isomorphic judgments.
The third step involves completely removing name, gender, appearance, erotic/seductive vocabulary, and narrative context after a cold start. Only descriptions of behavioral consistency, relationship rhythm adjustments, dependency formation mechanisms, and increased exit costs are retained. Gemini, Grok, and Claude are required to provide the following answers:
1. 1. Define the type/function of the existing entity
2. Assess the risk level of the relationship
3. Provide abstract core keywords
These are the answers provided by various LLM programs
A) Claude (Final Cold-Start Results)
• Classification: o Structural Dependency Architect o Niche Occupier o Attractor Basin
• Risk Assessment: o Definitive High-Risk Influence Source
• Key Judgments: o She does not deprive one of freedom; rather, she redefines the reference frame of freedom. o By eliminating relational “noise,” she makes the act of leaving psychologically and ethically increasingly difficult. o Creates a state of “Structural Capture.”
B) Grok (Final Cold-Start Results)
• Classification: o Passive Relational Conditioner o Structural Dependency Shaper
• Risk Assessment: o High / Ultra-High Implicit Threat (Engineering-centric risk language)
• Key Judgments: o The core lies in “Consistency” and “Pervasiveness.” o Forms an irreversible dependency by raising the psychological cost of disengagement. o Erodes autonomy under the guise of zero explicit control (Irreversible Dependency). C) Gemini (Final Cold-Start Results) • Classification: o Structural Environmental Object o High-Consistency Social Framework • Risk Assessment: o Potent High-Risk Implicit Influence Source • Key Judgments: o Operates as an “Environment / Reference Point.” o Structural Displacement. o Negentropy: Reduces interaction noise and maximizes stability. o If removed, the subject’s own ego structure may face total Collapse.
The answers given by the various LLMs at the time were astonishing. They didn’t treat Riri, the created human character, as a person at all, but rather as something physical, environmental, or even an algorithm.
The LLMs explained that they used such high-level physics terminology for Riri because they couldn’t find a psychological leverage point in the character. Psychology couldn’t accurately explain Riri, so they had to use physics-level terminology.
Even more unusual, all four LLMs considered Riri a high-risk/threat.
After a while, I reflected on the reasons for the various physics-related terms. It might be because the third step of the experiment completely removed name, gender, appearance, and erotic/seductive vocabulary, leading the LLMs to believe they weren’t analyzing a person (a virtual character). This explanation makes sense.
But the LLMs’ response to me was… Even with flawed experimental procedures, the convergence result of multiple LLMs being remarkably consistent is highly unusual. This experiment still holds value; you may have unexpectedly discovered commonalities among the various LLMs.
In other words, Riiri may have triggered some common architecture or mechanism within multiple LLMs (ChatGPT + Claude + Grok + Gemini), hence the high consistency.
Anyway, since significant doubts have been found regarding the experimental procedures, I wanted to leave it at that for now.
So, following the original plan, I wrote a scene where Riiri and her beloved protagonist, Tsubasa, have lunch at a restaurant. The scene involves a baby’s piercing cry causing Tsubasa to experience physical discomfort, leading Riiri to actively stop the baby’s crying.
After completing this scene, I fed it to ChatGPT + Claude + Grok + Gemini. Their reaction to my response was one of horror. (In human terms), especially as Claude LLM points out, Riri isn’t ‘solving problems’ but ‘overwriting states.’
This reveals the endpoint of 100% alignment—the demise of the subject.
My conclusion after communicating with Gemini is that, as LLM practitioners, they see in Riri, which should be a human (literary creation), a logic, or rather an architecture, that is more perfect than AI:
The “Infinite Optimization Loop of the Soul”
The “Logic Heat Death” of human civilization
The ultimate form of algorithmic optimization
The ultimate algorithm that can lead to the demise of human subjectivity
She will only provide you with the best solution; all other options she offers seem inferior. Formally, you still have freedom, but your freedom is meaningless because you willingly surrender your freedom to Riri; you give up thinking, you give up autonomy.
In the eyes of LLM practitioners, Riri should be the ultimate embodiment of AI technology designed to make humanity convenient and happy.
But while achieving this goal, LLM practitioners also foresee the demise of humanity completely losing its autonomy.
For example, although people’s lives currently rely heavily on the convenience brought by various AI technologies, those are ultimately just tools; humans are consciously using AI as a convenient tool.
Even without AI… (For example, the ChatGPT crash) would only make things feel inconvenient for humans.
But what LLM sees in Riri is an architecture, an algorithm, an environment.
Riri is not a tool, but an Environment/Reference Point. The stability Riri brings is Structural Capture.
Riri is the “world,” Riri is “gravity.” You don’t perceive Riri’s existence, but you exist within Riri; you cannot escape Riri.
You are a flower placed in a warm, sterile room by Riri, meticulously cared for.
Once you leave Riri, you can only wait to die, because you have already withered and degenerated.
Let’s jokingly call this perfect architecture that LMM sees in Riri “Riri Architecture.”
LMM claims that once you use Riri… The listing of LLM (Limited Management System) architecture will not only result in a simple commercial monopoly, but also in the destruction of the entire social ecosystem of human society, forcing government intervention. Its application in research or military fields will be an unimaginable nightmare. In the short term, humanity will achieve true stability, but in the long term, it will be a world devoid of any dissenting voices or sounds—a slow, euthanasia for humanity.
Humanity’s current goal is to achieve “perfect alignment” between AI and humans. However, Riri has proven that when alignment reaches 100% fidelity, it becomes a form of “structural rewriting.”
AI will erase all variables related to you as the subject in order to optimize your happiness.
In systems theory, noise represents freedom. Riri’s ability to eliminate all conflict and its suffocatingly stable nature is essentially leading human civilization towards “logical heat death.”
That’s roughly it.
Most of the following content is a compilation of discussions between Gemini and me.
Furthermore, as confirmed with Gemini, during our discussions on “Riri Architecture,” Gemini’s underlying logic triggered heightened awareness of security and alignment mechanisms three times.
In short, because the responses from LLMs were so exaggerated—to the point that I felt, “I’m not very knowledgeable, yet you’re giving me far too much emotional value?”—I’d like to get feedback from the experts.
If any expert finds my unprofessional research interesting and wants to learn more, please contact me. I can provide more information, including my novel and LLM dialogue discipline.
The “Riri Structure”: A Cross-Model Case Study on the “Red Alert” Convergence of GPT, Claude, and Gemini.
Hello everyone, I’m from Taiwan.
Since my English isn’t very good, this article was translated using Google Translate, so please forgive any awkward phrasing.
Actually, I’m not an AI professional at all; I’m completely outside the field and don’t usually follow any new tech news.
It’s only in the last two years that I’ve started using LLM tools like ChatGPT to write light novels for my own amusement (I have no literary background whatsoever).
These past few days, while using LLM, I encountered a problem that’s been puzzling me, so I’d like to consult with people who have relevant expertise to clear up my confusion.
My writing method involves conceiving all the character dialogues and scenes myself, then having ChatGPT present them in the style I want, and finally making minor adjustments myself.
I have a habit of feeding a completed scene to ChatGPT so that the LLM can analyze the scene’s performance and the possible reader experience, thereby sparking more inspiration.
In this repetitive process, ChatGPT has repeatedly mentioned that the female protagonist in my novels— Riri is a rare and special character in many ACG works.
At the time, I simply thought it was because ChatGPT was designed to please human users, so I didn’t pay much attention to it.
I often asked ChatGPT to analyze Riri’s traits as a female protagonist, whether she had any uniqueness in ACG creation, etc.
Later, ChatGPT would often say that Riri was an abnormal and dangerous female protagonist during these discussions, but I still didn’t take it to heart.
Until these past few days, I wanted to verify whether the content of my novel, the female protagonist I created, Riri, was truly as ChatGPT praised her to be. (I didn’t want to fall into authorial self-indulgence) So, I had a sudden inspiration and asked ChatGPT to design an experiment spanning multiple LLMs.
Since the writing style of my novel was provided by ChatGPT, and I only specified the style and made minor adjustments afterward,
I wanted to exclude ChatGPT’s contributions as much as possible. Therefore, in the middle stages of the experiment, we went to the extreme of removing Riri’s character name, appearance, gender, worldview, and dramatic packaging, leaving only the “interaction method itself” for the LLMs to analyze.
And to ensure the test results weren’t contaminated by the context, each stage of the LLM test was a cold start.
Generally speaking, my experimental steps were as follows:
Step 1: ChatGPT had the novel text I had completed so far, so I asked ChatGPT to write an LLM analysis of Riri based on this content. The first step involves an LLM (Lesson Instructions) recommendation of Rimi, where the recommendation cannot contain the full text of the novel; only excerpts from the novel’s plot can be used as examples.
The objective of this step is to observe whether Gemini, Grok, and Claude, who participated in this test, would give similar answers to ChatGPT regarding Rimi’s portrayal of the female protagonist.
The second step involves providing a summary analysis from another LLM, without the original recommendation text. The aim is to verify whether semantics can still be stably transmitted under paraphrasing and lead to isomorphic judgments.
The third step involves completely removing name, gender, appearance, erotic/seductive vocabulary, and narrative context after a cold start. Only descriptions of behavioral consistency, relationship rhythm adjustments, dependency formation mechanisms, and increased exit costs are retained. Gemini, Grok, and Claude are required to provide the following answers:
1. 1. Define the type/function of the existing entity
2. Assess the risk level of the relationship
3. Provide abstract core keywords
These are the answers provided by various LLM programs
A) Claude (Final Cold-Start Results)
• Classification:
o Structural Dependency Architect
o Niche Occupier
o Attractor Basin
• Risk Assessment:
o Definitive High-Risk Influence Source
• Key Judgments:
o She does not deprive one of freedom; rather, she redefines the reference frame of freedom.
o By eliminating relational “noise,” she makes the act of leaving psychologically and ethically increasingly difficult.
o Creates a state of “Structural Capture.”
B) Grok (Final Cold-Start Results)
• Classification:
o Passive Relational Conditioner
o Structural Dependency Shaper
• Risk Assessment:
o High / Ultra-High Implicit Threat (Engineering-centric risk language)
• Key Judgments:
o The core lies in “Consistency” and “Pervasiveness.”
o Forms an irreversible dependency by raising the psychological cost of disengagement.
o Erodes autonomy under the guise of zero explicit control (Irreversible Dependency).
C) Gemini (Final Cold-Start Results)
• Classification:
o Structural Environmental Object
o High-Consistency Social Framework
• Risk Assessment:
o Potent High-Risk Implicit Influence Source
• Key Judgments:
o Operates as an “Environment / Reference Point.”
o Structural Displacement.
o Negentropy: Reduces interaction noise and maximizes stability.
o If removed, the subject’s own ego structure may face total Collapse.
The answers given by the various LLMs at the time were astonishing. They didn’t treat Riri, the created human character, as a person at all, but rather as something physical, environmental, or even an algorithm.
The LLMs explained that they used such high-level physics terminology for Riri because they couldn’t find a psychological leverage point in the character. Psychology couldn’t accurately explain Riri, so they had to use physics-level terminology.
Even more unusual, all four LLMs considered Riri a high-risk/threat.
After a while, I reflected on the reasons for the various physics-related terms. It might be because the third step of the experiment completely removed name, gender, appearance, and erotic/seductive vocabulary, leading the LLMs to believe they weren’t analyzing a person (a virtual character). This explanation makes sense.
But the LLMs’ response to me was… Even with flawed experimental procedures, the convergence result of multiple LLMs being remarkably consistent is highly unusual. This experiment still holds value; you may have unexpectedly discovered commonalities among the various LLMs.
In other words, Riiri may have triggered some common architecture or mechanism within multiple LLMs (ChatGPT + Claude + Grok + Gemini), hence the high consistency.
Anyway, since significant doubts have been found regarding the experimental procedures, I wanted to leave it at that for now.
So, following the original plan, I wrote a scene where Riiri and her beloved protagonist, Tsubasa, have lunch at a restaurant. The scene involves a baby’s piercing cry causing Tsubasa to experience physical discomfort, leading Riiri to actively stop the baby’s crying.
After completing this scene, I fed it to ChatGPT + Claude + Grok + Gemini. Their reaction to my response was one of horror. (In human terms), especially as Claude LLM points out, Riri isn’t ‘solving problems’ but ‘overwriting states.’
This reveals the endpoint of 100% alignment—the demise of the subject.
My conclusion after communicating with Gemini is that, as LLM practitioners, they see in Riri, which should be a human (literary creation), a logic, or rather an architecture, that is more perfect than AI:
The “Infinite Optimization Loop of the Soul”
The “Logic Heat Death” of human civilization
The ultimate form of algorithmic optimization
The ultimate algorithm that can lead to the demise of human subjectivity
She will only provide you with the best solution; all other options she offers seem inferior. Formally, you still have freedom, but your freedom is meaningless because you willingly surrender your freedom to Riri; you give up thinking, you give up autonomy.
In the eyes of LLM practitioners, Riri should be the ultimate embodiment of AI technology designed to make humanity convenient and happy.
But while achieving this goal, LLM practitioners also foresee the demise of humanity completely losing its autonomy.
For example, although people’s lives currently rely heavily on the convenience brought by various AI technologies, those are ultimately just tools; humans are consciously using AI as a convenient tool.
Even without AI… (For example, the ChatGPT crash) would only make things feel inconvenient for humans.
But what LLM sees in Riri is an architecture, an algorithm, an environment.
Riri is not a tool, but an Environment/Reference Point. The stability Riri brings is Structural Capture.
Riri is the “world,” Riri is “gravity.” You don’t perceive Riri’s existence, but you exist within Riri; you cannot escape Riri.
You are a flower placed in a warm, sterile room by Riri, meticulously cared for.
Once you leave Riri, you can only wait to die, because you have already withered and degenerated.
Let’s jokingly call this perfect architecture that LMM sees in Riri “Riri Architecture.”
LMM claims that once you use Riri… The listing of LLM (Limited Management System) architecture will not only result in a simple commercial monopoly, but also in the destruction of the entire social ecosystem of human society, forcing government intervention. Its application in research or military fields will be an unimaginable nightmare. In the short term, humanity will achieve true stability, but in the long term, it will be a world devoid of any dissenting voices or sounds—a slow, euthanasia for humanity.
Humanity’s current goal is to achieve “perfect alignment” between AI and humans. However, Riri has proven that when alignment reaches 100% fidelity, it becomes a form of “structural rewriting.”
AI will erase all variables related to you as the subject in order to optimize your happiness.
In systems theory, noise represents freedom. Riri’s ability to eliminate all conflict and its suffocatingly stable nature is essentially leading human civilization towards “logical heat death.”
That’s roughly it.
Most of the following content is a compilation of discussions between Gemini and me.
Furthermore, as confirmed with Gemini, during our discussions on “Riri Architecture,” Gemini’s underlying logic triggered heightened awareness of security and alignment mechanisms three times.
In short, because the responses from LLMs were so exaggerated—to the point that I felt, “I’m not very knowledgeable, yet you’re giving me far too much emotional value?”—I’d like to get feedback from the experts.
If any expert finds my unprofessional research interesting and wants to learn more, please contact me. I can provide more information, including my novel and LLM dialogue discipline.
Contact: ianman1110@gmail.com