Where should we draw the line when using AI to bring back deceased individuals?

10

October

2024

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Have you ever watched the TV series Upload?Can you imagine what would happen if we can revive through AI? Or you can record the voice and video of people you love today, and they maybe can be revived after they are gone

AI technology has presented us with a fundamental question: as we gain the ability to reshape reality and even rewrite the past, how should we conduct ourselves? The answer to this question is complex.

On the one hand, law and ethics serve as our moral compass. Strictly adhering to laws governing rights to one’s image and reputation, and respecting the wishes of the deceased and their families, are fundamental principles. On the other hand, AI technology has shown great potential in education, art, mental health and other fields. For example, by creating historical figures through AI technology, historical events can be vividly presented and students’ interest in learning can be stimulated; for those who have lost their loved ones, AI technology can provide emotional comfort and help them get out of grief.

When applying AI to bring back the deceased, we must adhere to the following principles:

  • Respect and empathy: Avoid causing secondary harm to the families of the deceased.
  • Informed consent: Obtain explicit authorization from family members or legal representatives.
  • Transparency and accountability: Disclose the purpose, scope, and potential impacts of the technology application.

To better harness the positive potential of AI, we need to establish a cross-disciplinary collaborative platform to jointly develop ethical guidelines and ensure that technological advancements are always human-centric. On this platform, technology developers, legal experts, ethicists, psychologists, and the general public should all be considered.

Just like in “Upload,” the future holds possibilities both thrilling and unsettling. With careful planning and collaboration, we can create a future where AI technology serves humanity, but “bring back the deceased”- this technology is still debatable.

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What Made OnlyFans So Successful

19

September

2024

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Introduction

OnlyFans, the adult content platform, has reportedly increased its revenue 20-fold in 4 years, from $330 million to $6.6 billion, making it the most successful British company since DeepMind and the most influential content platform after TikTok.

As an adult content platform with a simple and transparent business model, OnlyFans only takes a 20% commission, without the complex traffic incentives or ad revenue sharing that other platforms use. Since OnlyFans doesn’t have an app, it avoids Apple’s 30% tax. Of the $6.6 billion total revenue, $5.3 billion is distributed to creators, leaving the remaining $1.3 billion for the platform. After deducting all costs and taxes, the platform’s net profit is approximately $480 million. With only 42 employees, each person generates over $10 million on average.

Key Features of Business Model

  • Creator Empowerment: OnlyFans provided a platform for adult-content creators, who faced censorship and exploitation on other platforms, allowing them to directly monetize their content and build a loyal fanbase through subscriptions. This is also a disruptive innovation, as OnlyFans started from a niche and low-end segment of social media platforms. Social media platforms like Instagram, Twitter, and Reddit used to prohibit or limit adult content because they focused on other categories, mainly profiting through advertisements. OnlyFans seized the opportunity and became dominant in this category by offering creators autonomy and ownership of their work.
  • Subscription and Pay-per-view: As a user wanting to view content on OnlyFans, you have two options for access. You can either subscribe to a creator by paying a monthly fee for unlimited access to all their content, or you can pay a fee to view individual pieces of content. The trend shows that pay-per-view is gradually taking a larger portion of OnlyFans’ payouts to creators. This feature provides viewers with more personalized experiences and gives creators additional income streams.
  • Low Commission: Another barrier for OnlyFans’ competitors, such as Aylo (which owns multiple adult content brands), is that OnlyFans only charges a 20% commission, which is considered very low in this industry. This low commission is possible because OnlyFans takes advantage of the “platform” model; it merely provides a space for viewers and creators to connect, rather than creating content itself, which keeps its costs lower than those of competitors. There is also a network effect: the more creators are attracted by the low commission, the more content they produce, which in turn generates more profit for OnlyFans, allowing the company to maintain the low commission rate.

New Challenges

  • Threat from Incumbents: In June 2024, Elon Musk ended the ban on adult content on his platform, a move that came shortly after the introduction of paid subscriptions and closed messaging.
  • Threat from AI: In a May 2024 interview, CEO Keily Blair stated that OnlyFans will not introduce virtual AI characters and has no plans to launch any AI-related features for the time being. These considerations are aimed at protecting the rights of creators and providing users and creators with more choices. Nevertheless, some competitors are more “open-minded,” such as Fanvue, which currently features an AI influencer, Emily Pellegrini, who already has 256K fans on Instagram. As more AI characters emerge, the demand for “the real thing” may decrease. Unlike real creators, these AI influencers can speak multiple languages, are available 24/7, and may eventually be integrated into immersive 3D environments. AI could potentially disrupt the industry once again.

Reference:

How OnlyFans Makes Money: The business and revenue model explained. (2024, February 9). Untaylored. https://www.untaylored.com/post/how-onlyfans-makes-money-the-business-and-revenue-model-explained

42 people, $6.6 billion in annual revenue, OnlyFans makes more money than all the AI startups in Silicon Valley. (n.d.). BlockBeats. https://www.theblockbeats.info/en/news/55014

Cuofano, W. I. G. (2024, June 7). How does OnlyFans make money? The OnlyFans business model in a nutshell. FourWeekMBA. https://fourweekmba.com/how-does-onlyfans-make-money

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