# Ethics Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Ethics", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

iQiyi Is Too Impatient

The article "iQiyi Is Too Impatient" discusses the controversy surrounding the Chinese streaming platform IQiyi's recent announcement of an "AI Actor Library" during its 2026 World Conference. IQiyi claimed over 100 actors, including well-known names like Zhang Ruoyun and Yu Hewei, had joined the initiative. CEO Gong Yu suggested AI could enable actors to "star in 14 dramas a year instead of 4" and that "live-action filming might become a world cultural heritage." The announcement quickly sparked backlash. Multiple actors named in the list issued urgent statements denying they had signed any AI-related authorization agreements. This forced IQiyi to clarify that inclusion in the library only indicated a willingness to *consider* AI projects, with separate negotiations required for any specific role. The incident, which trended on social media with hashtags like "IQiyi is crazy," is presented as a sign of the company's growing desperation. Facing intense competition from short-video platforms like Douyin and Kuaishou, as well as Bilibili and Xiaohongshu, IQiyi's financial performance has weakened, with revenues declining for two consecutive years. The author argues that IQiyi is "too impatient" to tell a compelling AI story to reassure the market, especially as it pursues a listing on the Hong Kong stock exchange. The piece concludes by outlining three key "AI questions" IQiyi must answer: defining its role as a tool provider versus a content creator, balancing the "coldness" of AI with the human element audiences desire, and properly managing the interests of platforms, actors, and viewers. The core dilemma is that while AI can reduce costs and increase efficiency, it risks creating homogenized, formulaic content and devaluing human performers.

marsbit04/21 07:05

iQiyi Is Too Impatient

marsbit04/21 07:05

Who Cannot Be Distilled into a Skill?

"This article explores the concerning trend of AI systems distilling human workers into replaceable 'skills,' using the viral 'Colleague.skill' phenomenon as a key example. It argues that the most diligent employees—those who meticulously document their work, write detailed analyses, and transparently share decision-making logic—are paradoxically the most vulnerable to being replaced. Their high-quality 'context' (communication records, documents, and decision trails) becomes the perfect fuel for AI agents, extracted from corporate platforms like Feishu and DingTalk. The piece warns of a deeper ethical crisis: the reduction of human relationships to functional APIs, as seen in derivatives like 'Ex.skill' or 'Boss.skill,' which reduce complex individuals to mere utilities. This reflects a shift from Martin Buber's 'I-Thou' relationship (seeing others as whole beings) to an 'I-It' dynamic (seeing them as tools). While AI can capture explicit knowledge (written documents, replies), it fails to capture tacit knowledge—the intuition, experience, and unspoken insights that define human expertise. However, a greater danger emerges when AI-generated content, based on distilled human data, is used to train future models, leading to 'model collapse' and homogenized, mediocre outputs—a process likened to 'electronic patina' degrading information over time. The article concludes by noting a small but symbolic resistance, such as the 'anti-distill' tool that generates meaningless text to protect valuable knowledge. Ultimately, it suggests that while AI can capture a static snapshot of a person, humans remain 'fluid algorithms' capable of continuous growth and adaptation, leaving their AI shadows behind."

marsbit04/05 03:42

Who Cannot Be Distilled into a Skill?

marsbit04/05 03:42

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

The article "AI致富教程:先搞色色,再去卖课" (AI Money-Making Guide: Start with Adult Content, Then Sell Courses) explores how AI-generated content (AIGC) is being monetized, particularly through adult entertainment and low-barrier creative work, before ultimately shifting to selling instructional courses. A16Z’s report highlights a striking trend: in the U.S., user spending on OnlyFans surpassed combined spending on OpenAI and The New York Times. This reflects a broader pattern where “sexual appeal outperforms productivity.” Early adopters used tools like Midjourney and Stable Diffusion to create AI-generated virtual models, offering “girlfriend experiences” on platforms like Fanvue, where AI models now contribute significantly to revenue. Similarly, some turned to AI-generated children’s books, though market saturation and quality issues quickly diminished profitability. Both paths often lead to selling courses—packaging the “get-rich-quick” illusion to newcomers. However, the real barrier isn’t technical proficiency but aesthetic judgment: the ability to translate vague ideas into precise prompts. Those with design, photography, or writing backgrounds excel because they know what “good” looks like; others struggle even with advanced tools. The rise of AI also brings ethical and trust issues. Clients often reject AI-assisted work on principle, perceiving it as “unfair” or lacking human effort. Regulations now require AI-generated content labeling, but boundaries remain unclear—especially for hybrid human-AI creations. The core question isn’t just whether AI was used, but whether someone is genuinely accountable for the output. In summary, while AI lowers entry barriers for content creation, success still hinges on traditional skills like审美 (aesthetic sense), and the real money often moves from creating content to selling the dream of easy success.

marsbit03/23 10:52

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

marsbit03/23 10:52

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