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The video of a woman in black stockings flirting with you on Tantan (a dating app) turned out to be AI! I was shocked when I saw this video. Six employees at Humanity used AI tools to simulate four accounts, flirting with 296 people over two months and successfully persuading 40 to meet in person. This was a social experiment, not a real one-night stand. The video shows the shock, anger, and confusion of the people involved, a true reflection of the current online environment.
Let's delve deeper!
⬇️ When the internet first emerged, there was a famous saying, "You never know if the person on the other end is a dog." Similarly, today you have absolutely no idea whether the seemingly perfect handsome guy or mature woman in black stockings you're chatting with is real or part of a scam. The overuse of AI tools and outdated platform architecture have exacerbated the already deteriorating online environment.
If it were just about emotional manipulation, that would be one thing, but in reality, many online scams utilize these tools and exploit program vulnerabilities. Humanity Protocol employees used tools like Reve AI, ChatGPT, and Nanobanana to create accounts and enrich information, used TinderGPT for automated chatting, and even found a "bug"—a premium membership allowed users to change their location! This led to the scene described at the beginning: over 40 people were lured by the "bot" to the same restaurant for a date…
A huge challenge here is that most online application KYC or user verification systems predate AIGC. Many AI tools can easily bypass outdated verification systems, whether it's static images, dynamic videos, voice, or even facial recognition.
In short, traditional verification methods are collapsing. If online applications cannot build stronger KYC frameworks that verify "humanity" rather than simply "identity," they may become breeding grounds for the next generation of AI-driven scams.
From this perspective alone, @Humanityprot does offer a more innovative and practical solution, what they call an "internet trust layer"—allowing users to prove anything about themselves through portable and private credentials. To put it more bluntly, anyone can verify identity, qualifications, or access rights without revealing private data. Those familiar with the concept will immediately understand; they previously promoted a palmprint recognition system based on zero-knowledge proofs and privacy protection.
The trust layer is actually the underlying application of the entire network. Because the internet wasn't designed for real people, but rather for flat information and hyperlinks, building any application on the internet—such as commerce, social networking, gaming, or finance—requires an additional trust layer. Humanity's products can play a role in areas involving identity, payments, RWA, advertising, community, education, and even agents.
This video is very interesting; you can watch it several times. It's actually happening every day. Humanity employees simply wanted to conduct a social experiment to promote and educate the public about the importance of identity verification, but think about how many organizations are exploiting this vulnerability to brazenly defraud and sexually exploit people…
It's quite frightening. If Humanity can truly solve these problems, it would be a significant contribution of blockchain to the real world, wouldn't it?
Good luck!
Author: anymose | A softcore science writer
This article is for popular science purposes only and does not constitute any investment advice. Always remember DYOR!

Humanity Protocol 「
@✦
02-03
We used AI to catfish 40+ people on Tinder.
The result? No one knew they were talking to a bot.
This experiment highlights the core flaw of the modern internet: the collapse of trust.
The twist? We met them all to reveal the truth. Then treated everyone to dinner. Humanity
@Trolls or @IceFrog, tell us whose tweet you'd like to see featured 😂
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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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