A 200-Person Chinese Team Just Embarrassed Every $500 Billion AI Lab On Earth
Summary
The article highlights DeepSeek's V4 model (1.6 trillion parameters, 1 million token context) built by a 200-person team with constrained compute, arguing that culture and frugal engineering can outperform mega-labs with massive compute. It critiques OpenAI's Stargate approach and posits that open-source research and modular innovation may define the next era of AI. The piece emphasizes that smaller, agile teams can achieve outsized impact through open collaboration and focused experimentation.