AI 的宏观经济效应:测算软件工程渠道(NBER)
Alex Blumenfeld、Jonathon Hazell、Chen Lian 与 Andreas Schaab 发布 NBER 工作论文 35793,题为《The Macroeconomic Effect of AI: Sizing the Software Engineering Channel》。论文聚焦 AI 影响宏观经济的软件工程渠道并对其规模进行测算。
Alex Blumenfeld、Jonathon Hazell、Chen Lian 与 Andreas Schaab 发布 NBER 工作论文 35793,题为《The Macroeconomic Effect of AI: Sizing the Software Engineering Channel》。论文聚焦 AI 影响宏观经济的软件工程渠道并对其规模进行测算。
小林coding 解读 Anthropic 发布的《如何在 Claude 和 Claude Code 中用好 Opus 5.5》手册,重点整理提示词、长任务协作、结果审查和模型设置方法。
Latent Space 播客采访 Anthropic 的 Thariq Shihipar,讨论 Claude Code 从 CLI 走向可定制 harness、云端大脑与本地 hands 分离,以及 Claude Tag、Projects、Artifacts 和 Claude Mods 等能力。
OPENAI 🔥: Key insights from upcoming DevDay sessions. * This agenda is not public yet First, OpenAI will build Platform capabilities inside Codex, enabling users to develop plugins, agents, and apps right from a dedicated DevDay page, which is quite cool! Highlights from the agenda 👀 > Claw Labs "Join Peter Steinberger for a look at how agents can change the way open-source teams build." > 🔥 Codex Game Studio "What makes a game easy for humans but hard for AI? Build one and put Codex to the test." > 🔥 What Will You Build With Coding Agents That Don’t Quit? What engineering work deserves your time and tokens? Learn from a Codex run that spent more than 1,000 hours keeping builds and tests passing in a large shared codebase. See how this internal OpenAI agent had goals, subagents, and persistent plans that helped it investigate failures and coordinate fixes. > Codex Has Left The Laptop "As we move from delegating individual tasks to letting Codex tackle entire problems and goals on its own, it’s possible to harness the power of Codex wherever and however you work. " > From Single Player to Multiplayer with Codex "Follow a 2am outage from the first Slack messages to a reviewed fix and an update for the team." > What Comes After Loops?: Deep Dive Into Agentic Architecture "As models become more capable, agent architectures are changing. We'll trace the evolution from simple loops to collaborating agents, examine the design choices and model advancements behind that shift, and take a deep dive into what comes next."
@OpenAIDevs A good spot 🍿
xAI 的 Grok 4.7 已在 Amazon Bedrock 可用,面向编码、长时间运行的 AI 智能体和知识工作,提供 500K token 上下文窗口及 low、medium、high、xhigh 四档推理强度。
推荐理由:文章同时说明模型能力、跨区域推理配置和三种 API 接入方式,便于团队评估迁移与成本控制。
Anthropic 于 2026 年 9 月 28 日发布 Claude Sonnet 5.5,官方称其运行速度提升 30% 以上、多数任务成本最高降低 30%,定价与 Sonnet 5 相同。
推荐理由:结合官方速度成本说法与作者实测,呈现 Sonnet 5.5 在编码任务和免费层可用性上的变化。
Manus 2.0 现在可以构建游戏了——而且极其简单。 请查看该线程,里面有数十个用 Manus 制作的游戏、提示词和可玩演示。
Anthropic 新发布的 Claude Sonnet 5.5 在对比中表现超过 OpenAI 的 GPT-6-Astra,其 Agentic Coding 测评分数比 Claude Opus 5.5 更高,其他分数也与 Opus 5.5 接近。
AWS 宣布 Claude Sonnet 5.5 已在 Amazon Bedrock 和 Claude Platform on AWS 上线,面向范围明确的编码与知识工作,强调多数任务的单任务成本更低、速度更快。
推荐理由:文章说明了 Sonnet 5.5 与 Opus 5.5 的分工,并给出 Amazon Bedrock 的调用入口和适用任务,便于团队规划模型组合。
Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It’s a clear upgrade over Sonnet 5, runs more than 30% faster, and costs up to 30% less for most work.
推荐理由:材料给出 Sonnet 5.5 相对 Sonnet 5 的速度、成本变化和适用任务,可帮助判断 Claude Code 日常使用的升级价值。
Anthropic 发布 Claude 5.5 系列第二款模型 Claude Sonnet 5.5,输出速度提升超过 30%,单任务有效成本最高降低 30%,多项基准接近 Opus 5.5。
推荐理由:文章汇总 Sonnet 5.5 的基准、价格和安全策略,并与 Opus 5.5 及 GPT-6 系列对照,便于判断中端模型的性价比位置。
Anthropic 发布中端模型 Sonnet 5.5,称其比 Sonnet 5 快 30%,token 消耗速度显著降低,适合编码和制作办公文档等日常任务。Anthropic 的基准显示,Sonnet 5.5 在智能体编码上表现优于 Opus 5.5,并具备与 Opus 5 相当的网络能力,因此将适用与 Fable 和 Opus 相同的网络安全防护。
推荐理由:文章整理了 Sonnet 5.5 相对 Sonnet 5 的速度、成本和智能体编码表现,并说明其网络能力防护安排。
Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at @Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t: http://app.base44.com/base-code
Meta 推出 Meta Enterprise Platform 新业务部门,向企业销售 AI 工具,首批产品包括 Muse agent、Meta Business Agent、Muse API 和 Muse Code。
小林coding推出AI大模型《就业保薪班》,面向Agent开发、大模型岗位转型,课程涵盖Transformer架构、LoRA、QLoRA、Agent、Claude Code等内容。班级承诺在校应届生最低年薪30万、在职人员薪资涨幅40%-50%,未达标可全额退款,并称往期学员平均薪资38w+、90%拿到AI岗位offer。
Microsoft Research 论文 Agensh 提出无中心编排器的自组织多智能体框架,通过共享工作区、消息接口和共享上下文协调并行编码智能体。
OpenAI 正在征集使用 Codex 完成构建、研究或创作的真实用户故事,以推进 Codex Originals 项目。参与者需通过表单提交个人背景、项目介绍及相关链接,提交即表示同意 OpenAI 依据隐私政策使用材料并与其联系。
Anthropic 于 9 月 28 日发布 Claude Sonnet 5.5(claude-sonnet-5-5),已在 Claude API、Amazon Bedrock、Claude Platform on AWS、Google Cloud 和 Microsoft Foundry 提供。
推荐理由:官方同时列出多平台可用性和从 Claude Sonnet 5 迁移时的五类兼容性变化,便于开发者提前调整请求与工具调用。
Simon Willison 在 WeAreDevelopers World Congress North America 的闭幕演讲中按时间线复盘 2026 年迄今 LLM 行业变化,并发布带注释幻灯片。
作者借助 Opus 5.5,通过一句提示词让其用 JavaScript + Canvas 绘制 App Icon,首版效果即超出预期。该方式强调用 JS draw Canvas 而非 SVG,作者认为前者效果更好,并可基于指定方案多轮迭代修改直至满意。
所有人都说 Opus 5.5 很疯狂。最强模型。巨大飞跃。之类之类。 我仍然不觉得它比 Astra 好。 前沿 LLM 编码能力在 Opus 4.8 之后已经停滞了。
Claude Code 与 Opus 5.5 根据提示词制作了《什么是 Transformer》科普视频,面向高中生讲解注意力机制及相关数学概念。视频使用开源项目 rany2/edge-tts 提供 TTS,并通过 Remotion 与 KaTeX 完成视频和公式渲染。
Simon Willison 为 WeAreDevelopers World Congress North America 闭幕演讲制作了 Kākāpō Party 像素动画,并用 Claude Code 将其录成 15 秒视频。
多名用户在领取 Anthropic 面向 Pro 用户的 100 美元、Max 用户的 250 美元 Claude Code 云端编程额度后反馈账号被封。领取福利需要绑定 GitHub 并授权 Claude 访问代码仓库,有人猜测地区识别触发风控,但原文说明这仍只是猜测。作者还提到两个月前 Claude「Max 零元购」后曾出现大规模封号,并在文末链接其阿里云端 Claude Code 搭建教程。
Codex 挂了。 所以我配置了 Claude Code 来检查它何时恢复。 然后我用 Jev 决定 Claude Code 应该何时检查。 我可能有点问题。
Claude Code 现在会在任务执行中触及 5 小时上限时尝试寻找合适的停止点,而不是在编辑过程中直接中断。它会从每周限额中获得一小笔固定额度,用于尽可能完成收尾工作。
车队管理软件公司 Proaction 使用 Codex、GPT-Live-1 和 GPT-6 Astra 后,销售额增长 60%,每月节省工程工时 40–60 小时、创始人工时 33 小时。
刘小排认为,部分技术合伙人借架构、技术债和安全性等理由夸大 AI 编程短板,使非技术创始人不敢推进项目。
OpenAI 上线 GPT-6 Sol,并将推出 GPT-6 Luna;作者称 Sol 面向日常高强度任务,API 价格为 GPT-6 Astra 的五分之一,Luna 价格低于 DeepSeek V4.1 Flash 的闲时非缓存价。
The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge