Chinese AI lab DeepSeek shook the tech world in early 2025. Its models, DeepSeek-V3 and DeepSeek-R1, outperformed rivals at a fraction of the cost. This forced giants like Google and OpenAI to rethink their plans.
Rumors suggested a new model, DeepSeek-R2, would launch this month. But sources confirm: no release before September.
DeepSeek’s models cost 20–50 times less to train than competitors. How? Smart engineering:
This let DeepSeek match models 3 times its size – training for just $5.6 million.
Google DeepMind’s Demis Hassabis called it "China’s best AI work."
DeepSeek learned from models like Meta’s Llama and OpenAI, raising a question:
Does building on others help competition – or hurt innovation?
DeepSeek’s legacy is clear:
“DeepSeek changed the business of AI – not the science.” — Tech Strategy Brief
DeepSeek AI proves intelligence doesn’t require massive scale. Smart engineering and open collaboration can rival giants.
As China grows its AI power and the West adapts, one lesson stands out: Efficiency is the new advantage.
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