As China’s first documentary-style variety show focused on agriculture，Become a Farmer explores an innovative practical approach to rural revitalization and science popularization within domestic variety programs. The show effectively incorporates agricultural science knowledge through multiple dimensions，including exploring science popularization themes，constructing engaging scenarios，reconstructing narratives，and enhancing communicative effects. It successfully achieves immersive and panoramic dissemination of professional agricultural knowledge to the public. The experiences from this program offer valuable insights for innovation in science popularization narratives among domestic variety shows.

With the rapid advancement of artificial intelligence and brain-computer interface technologies，the evolving relationship between humans and technology，as well as the crisis of human subjectivity，has become unavoidable topics in contemporary humanities research. Among classic science fiction films，Kon Satoshi’s Paprika presents a representative vision of posthuman subjectivity. Through imaginative interactions between humans and brain-computer interfaces，spectacular representations of the metaverse，and the embodied construction of subjectivity，the film articulates a fluid，decentralized form of posthuman thought grounded in humanistic concern. Exploring and re-evaluating Paprika helps us reaffirm humanity’s unique subjective value as we approach the imminent era of general artificial intelligence and the posthuman future.

Large model-assisted science popularization creation，with its unique advantages，heralds a profound transformation in the field of science communication. This article reviews the significant impacts of large models on science popularization from their distinctive functionalities and their disruption of traditional paradigms. It highlights the empowering role of large models in this domain，evaluates the risks and cognitive biases associated with large model-assisted science popularization，and proposes countermeasures for actively embracing this new era of human-AI collaborative science creation.

When AI is utilized by popular science creators，it gives rise to issues such as copyright ownership and legal risk management. This paper presents typical cases of copyright disputes involving AI-generated works and analyzes the challenges in copyright determination，including whether AI-generated content satisfies the legal criteria for “works” and whether AI can be considered an independent creative entity. From the perspectives of various stakeholders-legislators，popular science creators，and other related creative parties-the paper proposes strategies such as improving legal regulations，becoming well-versed in copyright law，and preserving evidence to safeguard one’s rights. These recommendations aim to provide guidance on copyright protection for all parties involved in popular science creation in the AI era.

In information and communication theory，the metaphor of a “handshake” symbolizes the initial interaction between humans and machines，and it is precisely the connection between human-machine coupling units that forms the current artificial intelligence network system. The mechanism behind this function can be explained through actor-network theory（ANT）with metaphorical insights，as proposed by scholars like Bruno Latour. The intentionality and agency embedded in the AI network grant it a quasi-subject and moral quasi-subject status. To more vividly illustrate the operational states and representations of AI across different contexts，three literary images— “the Half-Blood Prince，”“the Stitched Monster，”and“the Chaos Demon”—are used to metaphorically represent these states. Building on these metaphors，the paper proposes adopting a “positive responsibility” perspective to foster the shared development of humans and AI in creative endeavors.