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Since the 1960s, global GDP has been rapidly rising and living standards have reached record highs. But something else has been rocketing up too – carbon emissions. For years, scientists and economists have been asking: is it possible to grow without heating and polluting the Earth? And as the climate becomes more unstable, the issue is only becoming more urgent. Madeleine Finlay hears from two economists arguing for a change in how we measure a country’s success. Nick Stern is professor of economics and government at the London School of Economics and an advocate of green growth, an approach to growth that prioritises green industry. Jason Hickel is a political economist and professor at the Autonomous University of Barcelona who advocates degrowth, shrinking parts of the economy that do not advance our social and ecological goals.
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第一方面,除了短任务链条的数据分析、生成、检索等方面的应用,智能体现在规模化应用场景大体可以概括为两类,一是在编程领域,编程是智能体最理想的"练兵场",环境隔离、容错率高,目标明确、目前规划能力能应对,程序可执行,还有即时的执行反馈。这令其成为智能体第一个大规模、商业化的突破口。二是在各行各业的各种业务(销售、客服、人力等)的专用智能体可以集合成一个大类,有一个共同点:目前主要是工作流自动化类型,其实这也是应对智能体深度理解(规划、决策)能力不足的权宜之计,通过把智能体的任务的开放性降低、给出参考工作流程、定义可用的有限工具集等来提高智能体在这些任务上的工作质量。智能体进一步的规模化应用需要其能力进化,为企业能够带来切实的价值。