Paper page - After One-Click Video: The Inflow of Service-Type Content, the Failure of the Recommendation Pool Mechanism, and the BoLe System

Source: https://huggingface.co/papers/2610.37695 Published on Oct 24

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Submitted byhttps://huggingface.co/ZouBo

Bo Zouon Oct 30

Abstract

AI-generated video tools shift content production toward service-type material, unbalancing the industry and overwhelming recommendation systems, prompting a dual-judgment BoLe framework to protect work-type content.

In September 2026, a newlarge language modelwas released. Soon after, a new way of making explainer videos became very popular: people asked the model to write a program, and the program produced the video. “One-click video” content then appeared in large amounts on many platforms. On the surface, this is a rise in creative power at the level of the individual. We argue that, at a deeper level, it changes the structure of the content industry. This judgment rests on two observations. First, this wave of content is service-type content. People watch it to meet a need, not to enjoy the content itself. The other kind is work-type content. AI makes both kinds faster to produce. But anyone can come in and make service-type content, while work-type content is limited by the number of people who have something to say. So the ratio between the two slowly becomes unbalanced. Second, free platforms choose content through layers of trial viewing, and this uses up user attention. The total amount of attention is fixed. The unbalanced ratio also dilutes good content. A simplified mathematical model shows that, as long as these conditions hold, therecommendation pool mechanismwill fail once new content grows past a certain multiple. Based on this, we discuss one possible way out. Machines and entry rules judge whether service-type content passes the bar. Trusted people judge work-type content. We call this theBoLe system. At the end, we briefly imagine how the two kinds of content may develop from here.

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