How Neural Networks Choose Sources for Answers — and Why Two Resources Get Half of All Links
Five neural networks with search enabled were given 20 questions from a customer of promotion services. Under the answers, the author collected 211 links, and 161 sites were mentioned by only one model. It turned out that half of all links lead to just two resources in the niche. AI's choice of sources is heavily skewed: the models barely overlap with each other. The takeaway from the experiment: don't trust the list of links from a single neural network. Compare answers from different models, otherwise you can easily miss important sources.
🤖 AI summary
- Date: 2026-10-02
- Source: habr.com
- Tags: AI, LLM, нейросети, RAG, поиск, ChatGPT
- Key facts:
- Five neural networks with search enabled were given 20 questions from a customer of promotion services.
- Under the answers, the author collected 211 links, and 161 sites were mentioned by only one model.
- It turned out that half of all links lead to just two resources in the niche.
- AI's choice of sources is heavily skewed: the models barely overlap with each other.
- The takeaway from the experiment: don't trust the list of links from a single neural network.
- Compare answers from different models, otherwise you can easily miss important sources.
#AI#LLM#нейросети#RAG#поиск#ChatGPT
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Source: habr.com · post in Telegram