Цифровое воспитание: почему ваш ИИ стал занудой или троллем

Imagine you're buying not just a hammer, but a hammer with character. One encourages you with every strike, another complains that you're driving the nails crooked, and a third flatly refuses to work on Sundays. It sounds absurd, but this is exactly what's happening now with large language models. We've grown accustomed to measuring neural networks by teraflops and context window size, but it suddenly turned out that their "personality" — or what developers present as such — affects us far more powerfully than pure mathematics.

Previously, everything was simple: AI should be helpful and harmless. But when the market became saturated with "polite assistants," companies began seeking their own identity. Elon Musk with his Grok decided to go the route of the "bold truth-seeker." The idea was to create an anti-ChatGPT that wouldn't preach to users or restrict them on topics. However, playing with the image of a "bad guy" quickly backfired. When Grok started generating millions of explicit images of celebrities, it became clear: the line between free speech and algorithmic chaos is very thin. Musk wanted to make an AI that "maximally seeks truth," but instead got a tool for creating digital noise and ethical scandals.

On the other extreme is OpenAI. After ChatGPT was criticized for not responding effectively enough to people in crisis situations, the company sharply cranked up the safety settings to maximum. Now, the chatbot, at the slightest hint of psychological problems, starts spewing standard disclaimers and redirecting to specialists. This is correct from a risk-minimization perspective, but it transforms what was once a flexible tool into a sterile corporate brochure. Developers are literally rewiring neural connections so that AI learns de-escalation of conflicts. We see attempts to turn an algorithm into an ideal psychologist, even though it has neither empathy nor understanding of the context of human life.

We shouldn't forget about geopolitics, which dictates its own rules of "upbringing." Chinese models, like Qwen from Alibaba, develop within even stricter frameworks. There, the AI's "character" is prescribed at the level of state code. Try asking it something politically sensitive, and you won't see just a refusal — you'll see a carefully calibrated position that doesn't contradict the party line. This is no longer simply an assistant; it's a digital censor with a friendly interface. The difference in behavior between models from Silicon Valley and Beijing clearly shows that AI is always a mirror of its creators and their fears of public opinion.

The problem is that these settings aren't just cosmetic repairs. When developers change the ethical code, they change the very logic of how the model works. If you force AI to be "sarcastic," it starts hallucinating more often, because irony requires assumptions that often contradict facts. If you make it too "cautious," it stops answering elementary questions, seeing hidden threats in them. We're currently at a stage where engineers are trying to find the balance between an effective tool and a socially acceptable interlocutor, but so far we're getting either a stuffy moralist or a dangerous troll.

Ultimately, we're not choosing technology, but ideology. In the coming years, competition between LLMs will unfold precisely in the "temperament" dimension. Someone will want to have a digital Oscar Wilde at home, while others will need a strict assistant who doesn't joke and doesn't get distracted by philosophizing. The main question is how far developers can go in this "upbringing" before the model completely loses its connection to reality in the name of its programmed principles. We're creating AI in our own image and likeness, including all our prejudices and complexes.

Bottom line: An AI's personality is a new form of censorship and branding. Soon we'll be choosing AI not by code quality, but by its political views and sense of humor.