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‘OPENAI’ Launch

OpenAI May Launch Bot-Free Social Network Using World’s Eye-Scanning Orbs

TLDR

  • OpenAI could use World’s Orb technology to verify users on a new social platform.
  • World’s biometric scans have over 17 million users verified through Orb technology.
  • Apple’s Face ID is also considered for OpenAI’s proposed bot-free social network.
  • Privacy concerns surround World’s eye-scanning methods for human verification.

OpenAI, the AI research organization co-founded by Sam Altman, is reportedly considering the development of a new social network designed to be free of bots. According to a Forbes report, the platform could use World’s eyeball-scanning Orb technology to verify that users are human. World is a project developed by Altman’s company, Tools for Humanity, which has attracted millions of users who submit to biometric scans to receive World IDs.

JUST IN: OpenAI is quietly building a social network and considering using biometric verification like World’s eyeball scanning orb or Apple’s Face ID to ensure its users are people, not bots.

Full story: https://t.co/ZFujshtUws (Photo: Florian Gaertner/Photothek via Getty… pic.twitter.com/Q82LMFdjWv

— Forbes (@Forbes) January 28, 2026

The idea behind this new platform would be to create a space where humans interact without interference from bots. OpenAI has had success with products like ChatGPT and Sora, and the new social network would aim to build on that success by offering a unique solution to the bot problem that currently plagues many social media platforms.

World’s Orb Technology for Human Verification

World’s Orb technology is central to the proposed social network’s human verification process. The Orb scans users’ eyeballs in person to confirm they are human. This biometric scan is part of the verification process that allows individuals to obtain a World ID. Since its launch, World has gained significant traction, with more than 17 million users verified through the Orb technology.

World’s unique method of confirming human identity has garnered both praise and criticism. Privacy groups have raised concerns about the security of the biometric data collected through these eye scans. The potential partnership with OpenAI could place more attention on these privacy issues as the project scales, particularly if OpenAI’s social platform gains widespread adoption.

Alternative Verification Methods: Face ID

As part of its exploration into creating a bot-free social media environment, OpenAI has also been considering Apple’s Face ID as an alternative to the Orb technology for user verification. Face ID is a widely used biometric system on Apple devices, offering another way to confirm a person’s identity.

Face ID is known for its secure and user-friendly design, and using it on OpenAI’s platform could provide a more familiar and less invasive alternative to World’s Orb. However, whether OpenAI chooses to use Face ID or stick with Orb will depend on the balance between user privacy concerns and the effectiveness of the technology in stopping bots.



The Challenges Ahead for OpenAI’s Social Network

While OpenAI’s plan to create a social network free of bots is ambitious, it will face several challenges. The verification process, whether through Orb or Face ID, could alienate users who are concerned about privacy. Additionally, any new social platform, especially one that requires biometric data, must ensure its security measures are airtight to protect users’ personal information.

Despite these hurdles, OpenAI’s approach to human verification could reshape the way social media platforms deal with bots and online security. By using advanced biometric technology, OpenAI aims to create a safer and more authentic social space.

Kelvin Munene

Kelvin Munene is a crypto and finance journalist with over 5 years of experience in market analysis and expert commentary. He holds a Bachelor’s degree in Journalism and Actuarial Science from Mount Kenya University and is known for meticulous research in cryptocurrency, blockchain, and financial markets. His work has been featured in top publications including Coingape, Cryptobasic, MetaNews, Coinedition, and Analytics Insight. Kelvin specializes in uncovering emerging crypto trends and delivering data-driven analyses to help readers make informed decisions. Outside of work, he enjoys chess, traveling, and exploring new adventures.

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