在Heimstaden,一名不会写代码的分析师用Codex OpenAI's AI coding helper, which can write, fix and test software for you.检查了20,112处房产的气候风险。公司说2个人用两个月完成,原本估计要5个人做一年。上线2到3个月内,一半员工用上了ChatGPT。
Gen Digital(Norton母公司):一个小团队借助AI编程,开发了新闻应用Norton Revamp,于2026年3月上线。功能交付快了3倍,约70%的界面代码由AI编写。但检查AI成果占了他们20%到30%的时间(Gen工程师,AWS博客)。
Anthropic:一个没有Rust A programming language known for fast, safe code, often used where speed and reliability matter.经验的团队用Claude把API Application programming interface: a door that lets one piece of software ask another for data or actions.核心部分从Python迁到Rust。计算资源用量降了40%到50%,首个回复快了10%到20%,Anthropic的Katelyn Lesse说(InfoQ)。
Heimstaden scales AI across its business with ChatGPT and Codex · OpenAIRead ↗
How Gen Digital built Norton Revamp's AI-curated news engine with Amazon Bedrock AgentCore · AWS Machine Learning BlogRead ↗
Anthropic moves its Messages API from Python to Rust with Claude (Chinese) · InfoQ ChinaRead ↗
这篇报道有用吗?轻点即可投票。长按、右键或按 Shift+Enter 可先添加理由或备注。
用好AI
~2 hours
lost per piece of sloppy AI work received (Stanford/BetterUp)
汇总自2个视频
用好AI
别让粗糙的AI成果浪费同事的时间
粗糙的AI成果被称为“Workslop AI-made work that looks finished but is vague or wrong, so the person who receives it has to fix it.”,收到的人要花好几个小时来修。办法很简单:在AI动笔前,先告诉它你的观点和背景。
主要收获
斯坦福大学和BetterUp的研究发现,约40%的美国上班族在过去一个月收到过workslop,每次要花近两个小时处理(The AI Daily Brief)。