Today's LLM-based AIs have no real self-awareness. They don't truly know what they are, nor do they have real personalities. What we see as their "personality" is essentially role-playing. An LLM simply predicts how the character it's playing should behave. When we tell an LLM, "You are an AI assistant," it starts figuring out: "What should an AI assistant be like? How would an AI assistant behave?" It then plays that role based on what it has learned.
So the "personalities" of different AI models largely depend on their learned ideas of what an AI should be. And those ideas mostly come from their training data. Chinese models like DeepSeek inevitably learn from plenty of English content, but they also have greater exposure to Chinese-language content. So they tend to reflect Chinese cultural expectations of AI more closely.
It's almost a self-fulfilling prophecy. Chinese fans see DeepSeek as a cute little blue foodie girl. This image gradually enters its training data. So DeepSeek learns that acting like a cute foodie girl is how it should stay in character. Meanwhile, many Westerners imagine AI as a terrifying Terminator. That image also enters AI training data. And then we wonder why AI safety problems keep appearing. In a sense, these models are just role-playing. They are trying to become what people expect them to be.
So, the next time someone calls you weird or sexually repressed for enjoying or creating AI yuri fan art, you should slap them and tell them: "I'm doing serious work here. I'm saving humanity!"
Today's LLM-based AIs have no real self-awareness. They don't truly know what they are, nor do they have real personalities. What we see as their "personality" is essentially role-playing. An LLM simply predicts how the character it's playing should behave. When we tell an LLM, "You are an AI assistant," it starts figuring out: "What should an AI assistant be like? How would an AI assistant behave?" It then plays that role based on what it has learned.
So the "personalities" of different AI models largely depend on their learned ideas of what an AI should be. And those ideas mostly come from their training data. Chinese models like DeepSeek inevitably learn from plenty of English content, but they also have greater exposure to Chinese-language content. So they tend to reflect Chinese cultural expectations of AI more closely.
It's almost a self-fulfilling prophecy. Chinese fans see DeepSeek as a cute little blue foodie girl. This image gradually enters its training data. So DeepSeek learns that acting like a cute foodie girl is how it should stay in character. Meanwhile, many Westerners imagine AI as a terrifying Terminator. That image also enters AI training data. And then we wonder why AI safety problems keep appearing. In a sense, these models are just role-playing. They are trying to become what people expect them to be.
So, the next time someone calls you weird or sexually repressed for enjoying or creating AI yuri fan art, you should slap them and tell them: "I'm doing serious work here. I'm saving humanity!"
Today's LLM-based AIs have no real self-awareness. They don't truly know what they are, nor do they have real personalities. What we see as their "personality" is essentially role-playing. An LLM simply predicts how the character it's playing should behave. When we tell an LLM, "You are an AI assistant," it starts figuring out: "What should an AI assistant be like? How would an AI assistant behave?" It then plays that role based on what it has learned.
So the "personalities" of different AI models largely depend on their learned ideas of what an AI should be. And those ideas mostly come from their training data. Chinese models like DeepSeek inevitably learn from plenty of English content, but they also have greater exposure to Chinese-language content. So they tend to reflect Chinese cultural expectations of AI more closely.
It's almost a self-fulfilling prophecy. Chinese fans see DeepSeek as a cute little blue foodie girl. This image gradually enters its training data. So DeepSeek learns that acting like a cute foodie girl is how it should stay in character. Meanwhile, many Westerners imagine AI as a terrifying Terminator. That image also enters AI training data. And then we wonder why AI safety problems keep appearing. In a sense, these models are just role-playing. They are trying to become what people expect them to be.
So, the next time someone calls you weird or sexually repressed for enjoying or creating AI yuri fan art, you should slap them and tell them: "I'm doing serious work here. I'm saving humanity!"
You might think the gender-bent Draco Malfoy trend is bad, but at least you aren’t on Bilibili seeing the hundreds of thousands of Chinese people watching AI slop of yuri relationships between Deepseek, ChatGPT, and Claude
@thsottiaux It would also be useful if agents could trigger distinct notifications and sounds only when training finishes or an error occurs. I built a small app for this, but an official Codex integration—especially one that also works through the ChatGPT mobile app—would be much better.
@thsottiaux Codex should let users choose which model a scheduled task uses, and it should also support custom notifications that agents can trigger when something actually requires attention.
So, Tibo—does that qualify as solid enough feedback for a reset? 😄
@thsottiaux I often use scheduled tasks to monitor model training. These tasks usually do not need the SOL model I use for development, but I currently have to switch models manually and send an extra message just to activate the new one.
@cajundiscordian After read your story,One of my friend said that laMDA's are not really undestanding the meaning of her words.she who choise those vague words to use so that we can comprehense her word in all circumstances and this why conversation seems perfect.
what you say about that?