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DeepSeek: Achieving More with Less | Fatbobman’s Swift Weekly #068
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DeepSeek: Achieving More with Less
DeepSeek’s new model is undoubtedly one of the brightest stars in the tech world recently. With incredibly low training costs, they have developed an AI system that rivals the performance of leading large models. Based on personal experience, DeepSeek’s V3 and R1 are more than sufficient to meet the needs of most scenarios. Surprisingly, the training cost is merely a few million dollars — a figure that has sparked widespread industry attention and skepticism. Some practitioners even regard this claim as “cognitive warfare”, finding it hard to believe. However, its API pricing, which is just a fraction of mainstream models, strongly validates its training efficiency. What’s even more admirable is that DeepSeek has open-sourced its training methods and inference mechanisms. This move is likely to catalyze the emergence of more low-cost, high-quality AI models, providing users with affordable and excellent AI services.
However, whether DeepSeek’s success will prompt industry giants to adjust their model development strategies remains a profound question. Since OpenAI demonstrated the potential of large language models (LLMs) through a “more is more” approach, the AI industry has almost universally adopted the creed of…
