Compute Wins: The New Paradigm in AI Development
This article explores a new trend in AI development: the supremacy of compute. The author uses personal experiences and analogies to illustrate that over-engineered AI systems are like meticulously cared-for plants that struggle to adapt to changing environments, while large-scale compute-based AI systems, like naturally growing plants, can learn and adapt autonomously. By comparing rule-based, limited-compute, and scale-out approaches to building customer service automation systems, the author demonstrates the superiority of the scale-out solution. The rise of Reinforcement Learning (RL) further confirms this trend, as it explores multiple solutions through massive computation, ultimately achieving results that surpass human design. In the future, the role of AI engineers will shift from crafting perfect algorithms to building systems that can effectively leverage massive computational resources.
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