Bengaluru: A vegetable vendor in Bengaluru wearing an iPhone strapped to his forehead has sparked widespread curiosity and debate on social media after a viral video claimed he was helping train artificial intelligence (AI) systems while continuing his daily work. The unusual setup left many users surprised, while also triggering discussions about emerging AI-related jobs and how real-world human activity is being used in developing intelligent systems.

Viral video catches public attention

The video was shared on Instagram by a user identified as Vaibhav, who said he noticed the unusual sight while travelling through the city.

According to the social media post, he stopped after seeing a man carrying what appeared to be a head-mounted device consisting of an iPhone and an attached storage or recording unit fixed to his forehead.

The footage showed the vegetable vendor carrying out his regular work while wearing the equipment and moving through the streets.

The unusual visual quickly attracted widespread attention online, with many viewers attempting to understand the purpose of the setup.

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A post shared by Vaibhav | Peaks & Protein (@vai.bhaaavvv)

Claims linked the activity to AI data collection

According to claims made in the viral post, the vendor was allegedly participating in data collection activities used for training artificial intelligence systems.

The post suggested that the process involved recording real-world movements, interactions and human activities that could later be used to train robotics and humanoid AI models.

The video further claimed that such work involved capturing practical behavioural patterns to help machines understand how humans perform everyday tasks.

However, the exact organisation involved and details regarding the specific project have not been independently verified.

Earnings claim fuels online discussion

One aspect of the viral post that generated significant attention involved the reported earnings linked to the work.

The social media user claimed that participants involved in such data collection activities could earn around ₹350 per hour.

Based on this estimate, the post suggested that individuals working for around 10 hours a day could potentially earn approximately ₹1.05 lakh a month.

The claim immediately led to strong reactions online, with many users expressing surprise and comparing the figure with salaries earned in several corporate sectors.

However, the reported compensation details remain unverified.

Discussion expands to AI and future employment

The Bengaluru video also revived broader conversations regarding the growing role of data collection in artificial intelligence development.

The discussion gained momentum after another recently circulated video had shown factory workers wearing similar head-mounted recording systems while performing routine tasks.

That earlier discussion had raised questions about whether AI systems could eventually learn from human actions and automate similar tasks in the future.

One social media user described the process as “egocentric data collection”, explaining that such devices can use sensors including LiDAR technology to capture movement, depth and everyday human activities.

According to the explanation shared online, actions such as cooking, cleaning, folding clothes and handling objects may be recorded and used by robotics and humanoid technology companies to improve machine learning systems.

AI development increasingly using real-world human behaviour

Technology experts have noted that real-world behavioural data is becoming increasingly valuable in developing AI systems, especially in robotics where machines are trained to interact with physical environments.

The viral Bengaluru incident has added another dimension to the debate, highlighting how ordinary workers may not only coexist with emerging technologies but also contribute directly to teaching machines how people function in everyday situations.

As discussions surrounding artificial intelligence continue to grow, the video has once again drawn attention to the changing relationship between technology, employment and human activity.