Forbes February 28, 2025
A fresh wave of large language models are battling for attention. OpenAI’s GPT-4.5, Anthropic’s Claude 3.7, xAI’s Grok 3, Tencent’s Hunyuan Turbo S and the possible early arrival of DeepSeek’s latest model are vying to redefine how we work, communicate, access information and even shape global power dynamics.
At the center of this escalating competition arises a new problem: can AI models become smarter, faster and cheaper at the same time? The emergence of DeepSeek R1 signals that the future of AI might not belong to the largest or most data-hungry models — but to those that master data efficiency by innovating machine learning methods.
From Heavy to Lean AI: A Parallel to Computing History
This shift toward efficiency echoes...