Klaviyo的AI工程师Amish Regmi(前亚马逊推理基础设施与智能体系统构建者)撰文,批判了笼统的“AI发展是指数级”的说法。他指出,这种说法常缺乏可验证的具体数据,如指数的基数、翻倍时间以及具体所指哪条技术曲线。文章通过分析数据,区分了真正陡峭的指数增长与单纯快速提升或指标失效的情况,其结论是,未来的转型将由不同技术或能力曲线之间“不匹配的斜率”所主导。
Welcome to "Intelligence from the Community", our Sunday format where a selected author from the Superintelligence community publishes an original essay or analysis. The idea hasn't changed: some of you are researchers, some are operators, some are engineers building the systems everyone else writes about. That expertise deserves space.
This week's piece comes from Amish Regmi, an AI engineer at Klaviyo who previously built inference infrastructure and agentic systems at Amazon. Amish tackles something that has been bugging me for months: the way "AI is exponential" gets thrown around as if it were a single, self-evident fact. It rarely comes with the numbers that would make it testable. What is the base of the exponent? What is the doubling time? Which curve are we even talking about? Amish goes through the data, separates confirmed steep exponents from fast hillclimbs and broken instruments, and arrives at a conclusion that is more useful than the slogan: the transition will be governed by mismatched slopes.