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Indian Garment Workers Derail AI Data Harvest as Nigeria Signs Satellite Crop Deal

Pearl Global Zara AI training data robotics Nigeria agriculture AI OCP Africa satellite crop monitoring Zhipu AI Tsinghua GLM OpenAI legal AI Data Science Nigeria World Cup AI

Garment workers in Delhi quietly killed an AI data-collection program by refusing to cooperate, according to reporting by Truthout. Workers at Pearl Apparel - part of Pearl Global, which employs more than 30,000 people across five countries and supplies Zara, Ralph Lauren, and Gap - were asked to wear recording devices so a robotics startup could harvest footage of their work, part of an industry push projected at $1.5 billion over three years for up to one billion hours of training video. Compensated with little more than a mango drink, workers took the devices off or wore them inconsistently until the footage was useless; the trial was abandoned within two weeks, and subsequent strike action won a 35% minimum wage increase.

Nigeria's federal government signed an AI crop-monitoring agreement with Morocco-based OCP Africa and geospatial firm Ground Truth Analytics, per Leadership. The National Agro-Productivity System uses satellite imagery refreshed every five days to track crop distribution and food-security threats across 15 priority states, after pilots in 13 states reached 250,000 farmers and collected over one million agricultural data points. Officials emphasized that all data stays on locally hosted Nigerian servers.

WebProNews profiled the Tsinghua University-rooted founder behind Zhipu AI, the Beijing lab widely described as China's answer to OpenAI, whose GLM model family has become one of the most closely watched challengers to U.S. frontier labs.

In Lagos, the University of Lagos Law Students' Society partnered with Data Science Nigeria to train law students in data analytics and AI for legal research, per Nigerian News Direct. "Law is increasingly evidence- and data-driven," said general secretary Chiemelie Okpalanozie.

A Channel News Asia commentary argued that AI-generated World Cup content on social media is doing something unexpected: uniting global fans rather than dividing them.

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