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AI-Powered Chatters Take Over OnlyFans Conversations

• Written by Kiara Fabbri Former Tech News Writer
• Fact-Checked by Justyn Newman Former Lead Cybersecurity Editor

OnlyFans, known for its intimate creator-fan interactions, is undergoing a technological transformation. A growing number of creators are turning to “chatters”—individuals or AI systems—to handle the flood of messages from fans, simulating direct engagement

In a Rush? Here are the Quick Facts!

• Startups like FlirtFlow and Supercreator offer tools to automate and optimize fan interactions.
• AI chatbots can prioritize high-spending fans and automate re-engagement messages.
• Fans may not realize their conversations are with AI or outsourced workers.

The practice, explored in a recent WIRED investigation, sheds light on a booming industry that blends human gig work with AI.

Traditionally, OnlyFans chatters were gig workers from countries like the Philippines, Pakistan, and India, where lower wages made outsourcing appealing. Their job: impersonate creators and maintain engaging conversations with fans, noted WIRED.

However, the introduction of AI chatbots is rapidly changing the game.

Startups such as ChatPersona, FlirtFlow, and Supercreator now offer AI-powered solutions, enabling creators to manage thousands of conversations efficiently. Kunal Anand, founder of ChatPersona, revealed that his company has amassed 6,000 customers since launching last year, says WIRED.

Supercreator, a prominent competitor, goes beyond simple chat responses. Its tools include Inbox Copilot, which prioritizes high-spending fans while sidelining less lucrative ones, and automated re-engagement messages for inactive users, reports WIRED.

Eden, a former OnlyFans creator and owner of Heiss Talent agency, highlighted the effectiveness of such tools, citing a $1,000 tip sparked by an AI-generated message.

“It’s an insane increase in sales,” she noted to WIRED, emphasizing the efficiency of AI in identifying and targeting big spenders.

Despite the rise of fully automated options, some creators prefer a hybrid approach. Eden explained that her clients use AI to draft messages but personalize interactions to maintain authenticity. “We like to keep things as authentic as possible,” she said to WIRED.

The rapid adoption of AI chatbots raises ethical questions about transparency and authenticity on platforms like OnlyFans. Fans might not realize they’re speaking to AI or outsourced chatters rather than their favorite creators.

Additionally, what happens if AI chatbots, designed to simulate intimacy, prove to be addictive for fans? The immersive nature of AI interactions might encourage compulsive behavior , further blurring ethical boundaries.

Should creators and platforms bear responsibility for potentially addictive technology, especially when profits incentivize prolonged engagement?

As the industry evolves, OnlyFans has remained silent, declining to comment on these developments, reporte WIRED.

For now, the fusion of AI and human gig work appears to be reshaping the way creators engage with fans—boosting profits but blurring the lines between authenticity and automation, and giving a new meaning to AI girlfriends.

Image by DC Studio, from Freepik

New FeFET Device Advances Homomorphic Encryption For Secure Cloud Computing

• Written by Kiara Fabbri Former Tech News Writer
• Fact-Checked by Justyn Newman Former Lead Cybersecurity Editor

As data privacy concerns grow in an increasingly interconnected world, homomorphic encryption offers a potential solution, as reported today by Spectrum .

In a Rush? Here are the Quick Facts!

• FeFETs store data with electric polarization, enabling more unpredictable random numbers for encryption.
• The FeFET array simplifies encryption into one step, reducing power consumption and improving efficiency.
• The device achieved 99.6% accuracy, surpassing previous RRAM solutions in encryption reliability.

This advanced encryption method allows data to be processed without ever revealing the original information to the server. However, the computational power needed for this encryption has long been a limitation for devices like smartphones and IoT devices, says Spectrum.

Now, a team of engineers from Peking University in Beijing may have found a breakthrough with a new device that makes homomorphic encryption more feasible for commercial electronics.

Homomorphic encryption works by encrypting data on a device before it is sent for processing. The data is then processed in its encrypted form, ensuring that no one—including the server processing it—can access the original information, reports Spectrum.

After the computations are complete, the data is decrypted, leaving the user’s privacy intact.The main challenge with homomorphic encryption has been the significant computational power required to perform the necessary calculations, notes Spectrum.

Current Internet of Things (IoT) devices lack the processing capabilities to carry out the complex mathematical operations needed. To overcome this, the Peking University team developed a device using arrays of ferroelectric field-effect transistors (FeFETs), notes Spectrum.

These transistors are optimized to handle the encryption and decryption process with high accuracy while minimizing the computational load, says Spectrum.

Kechao Tang, an assistant professor of integrated circuits at Peking University, explained to Spectrum that by implementing these novel semiconductor devices, they can enable commercial electronics like smartphones to use cloud computing power while still protecting data.

FeFETs differ from traditional transistors by incorporating a layer of ferroelectric material, which can store electric polarization without needing an electric field. This allows FeFETs to produce more unpredictable random numbers, making encryption harder to crack, as reported by Spectrum.

The device can encrypt and decrypt data more efficiently by simplifying the process into a single step, compared to the two-step process typically required, notes Spectrum.

The FeFET array can process the data more effectively by combining multiple inputs—such as the encryption matrix, data to be encrypted, and an additional vector—into a single computation. This results in faster encryption with lower power consumption, reports Spectrum.

Tang also noted to Spectrum that the new device offers a higher accuracy rate compared to other encryption methods using resistive random-access memory (RRAM), making it a more reliable option for secure data processing.

The FeFET array achieved a 99.6% accuracy rate, a significant improvement over previous RRAM solutions. Looking ahead, Tang hopes to see this technology integrated into smartphones, allowing users to securely encrypt data before uploading it to the cloud and decrypt it when needed, as reported by Spectrum.