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Why do AI chats keep asking follow-up questions, and is it a good thing?

Kevin Systrom warns that excessive focus on user engagement may reduce the quality of answers in chatbots.

Eleni Karasidi
Eleni Karasidi
Published: 03.05.2025
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Kevin Systrom
Kevin Systrom
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Kevin Systrom, co-founder of Instagram, has expressed concern about how some companies in the generative AI field are trying to boost user engagement. He noted that such companies often use strategies similar to those employed by social networks — in particular, asking follow-up questions after each answer to keep users’ attention for as long as possible.

Systrom compared these approaches to practices aimed at increasing the time users spend on a service, emphasizing that this could harm the quality of responses. He believes that AI developers should focus on providing useful information, not just engagement metrics such as the number of active users or session duration.

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In response to such criticism, OpenAI pointed out that its model often does not have all the necessary information to provide a complete answer, so it may ask for clarification or request additional details. However, in cases where the query is clear enough, the model should try to give a helpful answer and inform the user if more details would help make it more complete.

The discussion about what the interaction between users and generative AI should look like continues amid the growing popularity of chatbots and digital assistants. Users may pay attention to how quickly and accurately the model helps them find answers, as well as whether it distracts them with unnecessary questions during use.

Chinese Moonshot Releases Open Model Kimi K2 Thinking
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Pinterest introduces new features for personalizing user boards
Pokee AI has released the PokeeResearch-7B model for online research
TAGGED:Generative AI
SOURCES:techcrunch.com
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