作者认为关注AI在实际应用中的优势更令人兴奋,并以Google的AlphaEvolve为例。AlphaEvolve是一个基于Gemini的编码智能体,自2025年起被用于优化下一代TPU的设计。它在两天内就发现了更高效的缓存替换策略,而此前这需要人类团队数月的密集工作。这类实例印证了AI能力呈指数级增长的观点,表明AI已在硬件、软件等各个领域推动进步。
I often find it more exciting to read about the practical advantages of AI in real-world applications. Back in 2025, I already had the impression that Google's AlphaEvolve was flying under the radar.
AlphaEvolve is a Gemini-powered coding agent for designing advanced algorithms. Since 2025, it has been used to improve their in-house TPUs. Just one example:
"AlphaEvolve has been used as a regular tool to optimize the design of the next generation of TPUs. It also helped discover more efficient cache replacement policies, achieving in two days what previously required a concerted, human-intensive effort spanning months."
These are the examples that illustrate why Dario Amodei repeatedly refers to exponential growth. There is no area where AI isn't already helping to make progress - hardware, software, everywhere.