people make about 70% of the planning decisions but only 20% of the execution decisions
这个70/20的决策分配比例清晰地展示了人机协作的分工模式：人类负责'做什么'，AI负责'怎么做'。70/20的比例表明AI在执行层面有相当大的自主权，这可能与人们通常预期的人工监督主导模式不同。这个数据点支持了文章核心论点——AI代理正在重新定义编程工作的人机分工模式。然而，文章未详细说明如何定义和分类'决策'，这可能影响数据的准确性。
Lees het als een overtuigend prototype van een nieuwe manier van maken. En tegelijk gewoon als mijn verhaal. Over wat me al die jaren heeft gedreven, wat al die nieuwsbrieven met elkaar verbindt en waarom ik nog steeds zo veel energie krijg van nieuwe gereedschappen die mensen meer speelruimte geven
Author recognises himself in the output, and suggests seeing the result as a convincing prototype of a new way of making.
Natuurlijk had er nog een stevige eindredactieronde overheen gekund. Sterker nog, normaal gesproken had ik dat vrijwel zeker gedaan. Nog wat aanscherpen. Hier en daar schrappen. Een paar overgangen gladder maken. Sommige zinnen net iets strakker trekken. Maar dit keer heb ik dat bewust niet gedaan. Juist omdat ik wilde laten zien wat er nu al mogelijk is. Ik heb een uitgebreide prompt, een verzameling instructies, gegeven over bedoeling, workflow en output.
Author deliberately did not polish the AI output, to have a better view on what it actually produced from the inputs.
A couple of applicants were students looking for part-time work. They were majoring in things like computer science and physics and emailed in because they were interested in AI and in the experiment. We thought they would have been the ideal employees, but Luna denied them immediately, citing they had no retail experience and wouldn't know what it takes to be the face of the store.
AI的决策逻辑令人惊讶——它拒绝了理论上最理解实验本质的申请人，而是选择了有零售经验的人。这展示了AI在评估候选人时可能基于实用主义而非实验价值，反映了AI对'成功'的定义可能与人类不同。
The system works beautifully for tracking the full universe of tasks that exists. The problem is prioritization. With multiple launches overlapping each week, figuring out which of your 30 tasks matters this morning requires mentally weighing launch dates against company strategy against what your teammates are blocked on.
令人惊讶的是：即使有完美的任务跟踪系统，优先级排序仍然是一个重大挑战，需要同时考虑截止日期、公司战略和团队阻塞情况等多重因素。这揭示了AI在复杂决策支持中的独特价值，能够处理多维度权衡。
your business needs to get really good at escalating contentious decisions to unblock progress. You will not pull off this transformation and successfully build new AI-native businesses in 12 months without making hard choices, every single week.
令人惊讶的是：文章强调软件公司需要在每周都做出艰难决策，这种频率和强度远超传统商业决策。这反映了AI时代商业环境的急剧变化，决策速度成为关键竞争力。
Cai et al. [117] interviewed 21 pathologists who used a deep neural network to aid in thediagnosis of prostate cancer. The interviews showed that pathologists needed to learn moreabout the network’s strengths and limitations to use it effectively. They also wanted to knowthe design objective of the network and the kind of data on which it was trained.
what we are facing is not, you know, like a Hollywood science fiction scenario of one big evil computer trying to take over the world. No, it's nothing like that. It's more like millions and millions of AI bureaucrats that are given more and more authority to make decisions about us
for - futures - AI - millions of AI bots making decisions about us
Centre for Effective Altruism. (2020, June 13 & 14). EAGxVirtual 2020 Virtual Conference. https://www.youtube.com/playlist?list=PLwp9xeoX5p8NfF4UmWcwV0fQlSU_zpHqc