The hidden Kenyan workers training China’s AI models

Rest of World — LatestThursday, December 4, 2025 at 11:00:00 AM
The hidden Kenyan workers training China’s AI models
  • An unemployment crisis in Kenya has led to the emergence of companies utilizing opaque systems, including WhatsApp groups and middlemen, to recruit workers for training AI models in China at low wages. This situation highlights the exploitation of vulnerable workers in a challenging economic environment.
  • The reliance on Kenyan workers for AI training raises concerns about labor rights and ethical practices in the tech industry. As companies seek cost-effective solutions, the implications for job security and fair compensation in Kenya become increasingly significant, reflecting broader issues of globalization and economic disparity.
— via World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended apps based on your readingExplore all apps
Continue Readings
AI Chipmaker Moore Threads Begins Trading After China’s Second-Biggest IPO
PositiveArtificial Intelligence
Moore Threads Technology Co., a prominent Chinese AI chipmaker, commenced trading on the Shanghai stock exchange, marking the second-largest initial public offering (IPO) in China this year. This significant event underscores the growing interest and investment in the AI sector within the country.
Meta Stock Surges on Plans for Metaverse Cuts | Bloomberg Tech 12/4/2025
PositiveArtificial Intelligence
Meta has announced plans to significantly cut resources allocated to its metaverse project, a shift from CEO Mark Zuckerberg's earlier vision of the metaverse as the company's future direction. This decision reflects a reevaluation of priorities amid financial pressures and scrutiny regarding the project's viability.
ByteDance and DeepSeek Are Placing Very Different AI Bets
NeutralArtificial Intelligence
ByteDance and DeepSeek, two prominent players in China's artificial intelligence sector, are pursuing markedly different strategies, highlighting the divergent paths within the industry. While ByteDance focuses on leveraging AI for content creation and user engagement, DeepSeek is emphasizing open-source AI models, such as its recent release that rivals GPT-5.
EU launches antitrust probe into Meta's WhatsApp AI restrictions
NegativeArtificial Intelligence
The European Commission has initiated a formal antitrust investigation into Meta, focusing on the company's restrictions regarding AI integrations in WhatsApp. This inquiry follows Meta's recent policy changes that have led to the removal of third-party AI chatbots, including ChatGPT and Copilot, from the platform.
Nvidia Boss to China: Would You Even Want Our Best Chip Anymore?
NegativeArtificial Intelligence
Jensen Huang, CEO of Nvidia, expressed skepticism about whether China would still desire the company's advanced H200 AI chips, even if U.S. export restrictions were relaxed. This statement reflects the complex dynamics between the U.S. and China regarding technology and trade.
TikTok to Invest $37B+ Into Brazil Data Center
PositiveArtificial Intelligence
TikTok has announced plans to invest over $37 billion to build a data center in Brazil's port of Pecém, marking its first major project in Latin America. This investment reflects China's growing ambitions in South America amid ongoing geopolitical tensions with the US.
EU probes Meta over WhatsApp AI policy
NegativeArtificial Intelligence
The European Union has initiated an investigation into Meta's new AI policy regarding WhatsApp, citing potential harm to competition within the European Economic Area. This scrutiny comes as Meta has begun to withdraw third-party AI chatbots from its platform, including ChatGPT and Copilot, which aligns with its strategy to regulate AI integrations more strictly.
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
PositiveArtificial Intelligence
A research team from China and Hong Kong has introduced a new memory architecture called General Agentic Memory (GAM) aimed at addressing the issue of 'context rot' in AI models, which leads to the loss of information during lengthy interactions. This dual-agent system separates memory functions to enhance information retention and retrieval, potentially improving the performance of AI assistants in complex tasks.