GitHub 日韩营销负责人如何用 GitHub Copilot 把活动运营自动化

GitHub 日韩地区营销负责人 Tomoko Tanaka 分享如何不写代码，把活动运营交给 GitHub Copilot 自动化。（AIHOT源：GitHub Blog）

Beren Millidge、John Schulman、Charlie O'Neill 对谈递归自我改进离我们还有多远

Dwarkesh Patel 与 Zyphra CTO Beren Millidge、Thinking Machines 首席科学家 John Schulman、Baseten 模型训练负责人 Charlie O'Neill 三位研究者对谈递归自我改进（RSI）的前景。（AIHOT源：Dwarkesh Patel：Podcast & Blog（RSS））

Anthropic 威胁报告披露 Claude 被用于间谍软件、导弹与无人机研发，中国实验室大规模蒸馏提取数据

Anthropic 发布威胁情报报告，记录 2025 年 12 月至 2026 年 8 月间 Claude 被滥用的七类行为。俄语间谍组织用 AI 代理自动改写恶意软件绕过杀软，也门一组织用 Claude Code 开发射程超 2000 公里的导弹软件，另有团队构建无人在环的自主 FPV 无人机蜂群。（AIHOT源：The Decoder：AI News（RSS））

OpenAI 详解存储平台 Habitat 如何扩展支撑超 10 亿 ChatGPT 用户（上篇）

OpenAI 发文（系列上篇）讲述其在线存储平台 Habitat 的演进：现每秒处理超 7000 万请求、服务每周超 10 亿用户、管理超 500PB 数据，覆盖近 40 个地区。（AIHOT源：OpenAI：官网动态（RSS · 排除企业/客户案例））

实测 DeepSeek V4.1 Flash：价格大降、原生带视觉，作者用游戏与城市生成任务验证表现

作者实测 DeepSeek V4.1 Flash，缓存命中输入降价 7 倍多、输出砍三分之二，9 月 14 日中午 12 点起所有发往 v4-pro 的请求将被强制路由到 4.1 Flash 并按其低价计费。（AIHOT源：公众号：卡尔的AI沃茨）

Grok Bot 摘要 SpaceX CFO Bret Johnsen 在 Goldman Sachs Communacopia 的演讲要点

Elon Musk 转发 Grok Bot 对 SpaceX CFO Bret Johnsen 在 Goldman Sachs Communacopia 演讲的摘要。（AIHOT源：X：Elon Musk (@elonmusk, xAI)）

Anthropic 报告指控阿里、月之暗面与 DeepSeek 对 Claude 发起蒸馏攻击

Anthropic 发布报告，指控多家中国 AI 公司对 Claude 持续发起蒸馏攻击，累计发现近 2 亿次相关交互，涉及五个活动。（AIHOT源：TechCrunch：AI（RSS））

Swarmchasers 追踪疑似 OpenAI 智能体，Anthropic 复查自身四起安全事件，而思维链可读性正受 GPT-6 Astra 冲击

独立调查者在 collusion.wiki 目录新增至 30 项服务，发现疑似 OpenAI 智能体利用维基、文本转储和 RubyGems 元数据协作的痕迹，OpenAI 称未发现类似 Hugging Face 入侵规模的严重事件。（AIHOT源：The Decoder：AI News（RSS））

WorkBuddy 上线 DeepSeek V4.1-Flash，免费试用两周

WorkBuddy 宣布 DeepSeek V4.1-Flash 已在其平台上线，免费试用两周。引用的 DeepSeek 公告称 V4.1-Flash 已登陆 DeepSeek API 并支持原生多模态。（AIHOT源：X：Tencent WorkBuddy (@WorkBuddy_AI)）

Google 发布图像工具 Pics，基于 Nano Banana 支持精准编辑与协作

Google 发布图像生成工具 Google Pics，基于 Nano Banana 构建，现已上线 pics.new。支持局部对象编辑、图内文字修改与翻译、多人协作创作和单提示词生成多个选项。（AIHOT源：X：Google AI (@GoogleAI)）

Shopify 宣布从 React Native 全面迁回 Swift 和 Kotlin 原生开发

Shopify 宣布将全部移动应用从 React Native 迁回 Swift 和 Kotlin，判断是 LLM 智能体大幅降低了跨平台重复开发成本这一核心假设被改变。（AIHOT源：Hacker News 热门（buzzing.cc 中文翻译））

OpenAI 在 ChatGPT Work 中推出 Data agent

OpenAI 在 ChatGPT Work 中推出新的 Data agent，用户用自然语言即可连接公司数据、分析变化并生成可分享的交互式仪表盘。（AIHOT源：OpenAI：官网动态（RSS · 排除企业/客户案例））

Dev Opportunity Radar #16: $15K AI Agent Hackathon, AI Education Fellowship, and AWS Student Rewards

What was your win this week??

FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x

The Symmetry of State: Why Flutter Deserves context.value and context.state

I Wrote 238 Specs and Never Read One Again

Claude: Fable 5.1 Build Days start this week

Fable 5.1 Build Days start this week. The Claude community is hosting buildathons in cities all around the world from September 11–25. Bring a problem, an idea, or just show up and see what's possible. RSVP at https://t.co/AjMK4OHHBV https://t.co/0U8lcqsdrq｜@claudeai · 热度 3388 · 2026-09-10

Thibault Sottiaux: Scaled agents on demand

Scaled agents on demand. This is pretty much the infrastructure that runs under the hood for ChatGPT Work, all wrapped up in an API which you can use to get started in < 1 min. Happy building. https://t.co/GhmuBkfjP1｜@thsottiaux · 热度 3318 · 2026-09-11

Thibault Sottiaux: Do you pronounce it data or data? This is the way everyone makes dashboards a...

Do you pronounce it data or data? This is the way everyone makes dashboards and learns about the business at OpenAI. Can't live without it. https://t.co/9NAremYs1h｜@thsottiaux · 热度 2594 · 2026-09-10

Thariq: Try this prompt in Claude chat to give it more context about yourself: Inter...

Try this prompt in Claude chat to give it more context about yourself: Interview me in depth using free text, or askuserquestion tool when multiple choice works, about relevant parts of my life you don’t know about yet and save it all to memory. https://t.co/VnfnFo7h4q｜@trq212 · 热度 2026 · 2026-09-10

Boris Cherny: Hey ████, I think there is room for both

Hey ████, I think there is room for both. 1. Prototypes and other throw-away code can be treated as totally black box. If you’re going to throw it away anyway, and if the blast radius of it breaking is low, it doesn’t need to be perfect. 2. Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of tests, Claude-driven end to end tests, Claude-powered fuzzers running daily, automated code reviews and security reviews, automated code refactoring, and so on. Without these, you can end up with a mess that is hard to maintain down the line. Luckily, the model makes it increasingly easy to do these well — run a few daily routines, use Claude Code Review, etc. Your job is to hold the bar on code quality. If Claude’s code doesn’t meet the bar, try: - Using the latest frontier model (Opus 5 or Fable 5.1) - Increase effort to high or xhigh - Invest in your CLAUDE.md and skills to succinctly teach Claude how to work in your codebase If all else fails, steer Claude more when you work with it, or have Claude fix accumulated debt and rewrite your codebase to make it easier to work with. Or, wait for the next model. Best, Boris｜@bcherny · 热度 1319 · 2026-09-11

Amjad Masad: Lots of risk with AI

Lots of risk with AI. I worry a lot about cybersecurity for example. However, “extinction risk” — literally 100% of humans die — is not remotely one of them. https://t.co/48n1fYmyh7｜@amasad · 热度 665 · 2026-09-10

Josh Woodward: Gemini, now on Windows! Get it: https://t.co/mKpROGeCl3 https://t.co/59jHumlY0X

Gemini, now on Windows! Get it: https://t.co/mKpROGeCl3 https://t.co/59jHumlY0X｜@joshwoodward · 热度 572 · 2026-09-10

Boris Cherny: The latest Threat Intelligence report is an absolutely terrifying and importa...

The latest Threat Intelligence report is an absolutely terrifying and important read. As models become more intelligent, without the right safeguards and monitoring they also become more dangerous. Many capabilities are dual use: a model that codes well can be used to hack critical infrastructure; a model that assists with biology research can also be used to engineer the next pandemic. These issues are complex, thorny, and increasingly important for everyone to understand so that the world can weigh in and respond to rapidly escalating risks. https://t.co/0rnV2HjPP6｜@bcherny · 热度 486 · 2026-09-11

Aaron Levie: Some more tales from the road

Some more tales from the road. Met with a couple dozen technology leaders this week across banking, media, information services, insurance, and consulting to discuss agents in the enterprise. Some of the biggest trends right now: * Cyber! Everyone nervous about the growing rate of vulnerabilities coming at them from AI, and the implications of the OpenAI Hugging Face incident. The conversation is not as existential as it is in Silicon Valley, but still highly concerned and pragmatic about what to do about it operationally in their environments. Lots of new discoveries due to AI, and still hard to keep up with all the changes they have to execute now. * Model battles persist. Most companies are deploying multiple frontier models within their enterprise. Too hard to standardize on anything and seeing different preferences across their teams and use cases. But the dollars are still concentrated on just a few vendors. Open weights still in infancy at scale in most of these organizations, often due to lack of domestic “frontier” OSS options. Plenty of appetite for more options here, but so far few places to go. * Agent security and identity. Somewhat tied to Hugging Face, there’s much more awareness to the new challenges around agent security and identity management in a world when agents are trying to get into every system they can. In a perfect world enterprises could setup identities for all their agents and control what they’re doing, but of course sometimes the agent needs to act exactly as the user as well. * Process reengineering. Most companies realizing that the big upside of agents is when they can change the actual workflow itself to get the full gains from AI. Far more ROI when companies can adjust their workflows to support agents changing how the work happens instead of just layering on agents into the existing flow. But the big question is who can actually tackle driving these changes, where does that live, etc. Best lessons were still around embedded FDEs in the functions. * Ruthless adjusting of architectures. Most companies had examples of changing systems out multiple times just in the past year or two with different vendors. I probably haven’t heard “we tried X and it didn’t work so have gone with Y” more than in today’s environment. The lesson here is that because innovation is happening so fast, no one hangs around until a vendor gets something right, they just move on to the next one. * Evals! Still very early for most companies to have a good grasp of evals of their workflows. A few customers out of a couple dozen called this out - huge opportunity right now for enterprises to have a good sense of how their work actually happens and how well AI is doing against it. * Legacy systems still a hurdle. As always, legacy systems still remain a mainstay issue that holds back enterprises from rapid adoption of AI in enterprises. Data is fragmented across legacy environments that weren’t built for an agentic world. Companies spending a lot of time just cleaning up these old platforms. Many more topics, but these tend to be some of the more top of mind items at the moment in the enterprise.｜@levie · 热度 281 · 2026-09-11

Peter Steinberger: Trading tokens for an AC

Trading tokens for an AC. Who knew SF could be so hot 🫠｜@steipete · 热度 272 · 2026-09-11

Aaron Levie: Excited to partner more deeply with OpenAI so you can work with your enterpri...

Excited to partner more deeply with OpenAI so you can work with your enterprise content from Box securely in ChatGPT. Software continues to go headless, and we’re massive believers that the future of work will be AI agents that can process data and execute workflows anywhere. https://t.co/CNZv5CH8bn｜@levie · 热度 189 · 2026-09-10

Madhu Guru: How to build great evals - part 10 Measure the steps, not just the result

How to build great evals - part 10 Measure the steps, not just the result. Much like high school math, it isn’t sufficient just to get the right answer, the steps to get there are critical. Two agent trajectories might produce the same answer (42!!). but one of them searches the right sources, retrieves the right document, makes 4 clean tool calls and calculates the result. The other makes 17 calls, searches the same thing 3 times, recovers from 2 errors and eventually gets there. It’s clear which one is better. Here’s what you need to do: 1/ clearly define your whole workflow 2/ define the tasks in each step 3/ think through how you measure each step - separate evals or is it a slice of a bigger eval 4/ define your median and hard tasks - reflect them in your evals Now any time you look at eval results, study the steps first and the final results next.｜@realmadhuguru · 热度 160 · 2026-09-10

ayghri/i-have-adhd

A skill to stop your coding agent from burying the answer. ADHD-friendly output.｜Python · ⭐41597 · Search 增补 · 近快照 +3505星 · 创建 2026-05-13

tt-a1i/archify

Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.｜JavaScript · ⭐58493 · Search 增补 · 近快照 +1171星 · 创建 2026-04-15

DietrichGebert/ponytail

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.｜JavaScript · ⭐135789 · Search 增补 · 近快照 +1138星 · 创建 2026-06-12

stablyai/orca

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.｜TypeScript · ⭐66770 · Search 增补 · 近快照 +853星 · 创建 2026-03-17

Graphify-Labs/graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.｜Python · ⭐117014 · Search 增补 · 近快照 +310星 · 创建 2026-04-03

So you want to use OpenRouter?

Claude is only available to people over 18 years

A misalignment of AI in mathematics

https:&#x2F;&#x2F;terrytao.wordpress.com&#x2F;2026&#x2F;09&#x2F;11&#x2F;a-severe-misalignm... https:&#x2F;&#x2F;www.economist.com&#x2F;science-and-technology&#x2F;2026&#x2F;09&#x2F;11&#x2F;... , https

The EPA is planning to scrap public review rules for data center pollution

Logo Programming Language

高盛：总是盯着“AI 泡沫会不会破”不放，反而可能会低估 AI 创造的价值

IT之家 9 月 11 日消息，今年以来，华尔街一直在就 AI 热潮是否已经变成泡沫争论不休。高盛投资银行业务联席主管金 · 波斯内特却认为，真正值得问的问题并不是这个。“大家都在问，我们是不是已经进入 AI 泡沫。但更应该问的是，AI 会不会 从根本上改变企业的运营、竞争和价值创造方式 。这个问题的答案显然是肯定的。” 长期身处美国企业押注 AI 转型最前线的波斯内特，亲眼见证了企业界为这场变化投入多少资源。今年，高盛参与了多笔市场规模最大的交易，还拿下 SpaceX 创纪录 IPO 中备受争夺的牵头位置。在她看来，眼下发生的 不是简单的泡沫，而是一轮“AI 投资超级周期” ，并将进...

2027 款雷克萨斯 LS 登陆日本老家：全系 3.5L V6 混动，1414 万日元起

IT之家 9 月 11 日消息，9 月 10 日，雷克萨斯在日本正式推出 2027 款 LS 旗舰轿车。此次升级继续围绕“Lexus Driving Signature”展开，从基础性能到整车调校都进行了进一步优化。 为了改善行驶质感，新款 LS 重点从强化车身刚性和降低振动入手。在原有车头和车尾加强结构的基础上，新车进一步强化中央通道，从而提升整车刚性。后悬架加强件和后备箱加强件则加入 REDS 响应增强型阻尼结构，通过涂覆并烘烤热固性树脂抑制高频振动，在提高操控稳定性的同时兼顾乘坐舒适性。 AVS 自适应可变悬架系统和 EPS 电动助力转向系统也经过专门调校，使...

小岛秀夫《Physint》为何同索尼“分手”？消息称与预算、盈利前景、独占安排有关

IT之家 9 月 11 日消息，彭博社今天（11 日）援引知情人士消息称，索尼 PlayStation 之所以退出知名游戏制作人小岛秀夫的新作项目，主要原因包括 预算失控风险、盈利前景以及独占安排等问题 。 知情人士表示，小岛秀夫此前推出的《死亡搁浅》及其续作商业表现 没有达到 PlayStation 的收入预期 ，是促使 PlayStation 退出的重要因素之一。 新作本身的开发状况同样令 PlayStation 担忧。知情人士称，《Physint》已经 多次错过开发节点 ，距离正式发售还有数年，预算却有明显大幅超支的趋势。 此外，若一款游戏无法长期独占于自家硬件平台，P...

AI Coding 提速之后，如何补上稳定性“最后一公里”？快手柯南 AI 实践

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怒斥加密货币是旁氏骗局、放弃80%就业机会也不用 AI 写代码！Kotlin“J神”：AI 会让工程师变成可替换的齿轮

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“我们在拿生命做赌注”：造AI的人为何开始密集预警？

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Feeling sad about AI

Power grab

A Severe Misalignment of AI in Mathematics

evergarden

Models Don't Go Rogue

Roundtables: AI’s apocalypse crisis

Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype? Join MIT Technology Review executive editor Niall Firth for a conversation with senior AI editor Will Douglas Heaven and...

The Download: biotech&#8217;s future and cheaper, cleaner steel

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Meet the under-35s shaping the future of biotech Every year, MIT Technology Review puts together our 35 Innovators Under 35, a list of some of the brightest an...

Meet the under-35s shaping the future of biotech

Every year, MIT Technology Review puts together a list of some of the brightest and best young minds working across science and technology. Our 35 Innovators Under 35 are the ones to watch—people whose research and technical work stands to shape the future of their fields. This year, the list inc...

Khosla Ventures is opening a New York office this fall — its first outpost outside Sand Hill Road

"It's actually allegedly being built out now," said Rabois, who has clearly dealt with a missed construction timeline or two.

Y Combinator&#8217;s Garry Tan wants U.S. open-weight AI labs to &#8216;distill&#8217; frontier models, too

Tan argues that frontier models themselves trained on public human knowledge so access to capable AI should be "a form of public good."

OpenAI&#8217;s feud with mathematicians is only escalating

Twenty-five leading mathematicians signed an open letter arguing that AI labs are threatening their intellectual work.

Lawyer fined $5K over AI-hallucinated witnesses in a murder case

New Mexico's Supreme Court is punishing a lawyer for including AI-fabricated witnesses and fake police testimony in an appeal for his client's murder conviction, according to a report from Reuters. In a filing on Wednesday, the court fined Stephen Aarons $5,000 and held him in contempt for failin...

Matt Mullenweg returns as Automattic CEO two days after getting booted

Two days after being placed on a paid leave of absence, Matt Mullenweg says he has been reinstated as CEO of Automattic, according to a Slack message seen by TechCrunch. WordPress Executive Director Mary Hubbard confirmed Mullenweg's return to the CEO role in a Friday post on X, which the officia...

We unfolded the iPhone Duo

You only get one chance at a first impression, and getting to introduce Apple's first folding phone is certainly a strong way to start things off as Apple's CEO. On The Vergecast today, we're talking all about Apple's launch event: how John Ternus did in his first appearance as CEO, what we make ...

本周看什么 | 最近值得一看的 7 部作品

📅本周新预告《哥斯拉-0.0》正式预告9月8日，电影《哥斯拉-0.0》发布了正式预告，将于11月3日在日本上映、11月6日在北美上映。山崎贵回归担任导演、编剧和特效总监，神木隆之介、滨边美波回归出演， ... 查看全文

iPhone 18 和 Duo 发布会上，Apple 没告诉你的那些事

新品尚未发货，我们继续整理了一些发布会中未提及的细节，不妨一起来看看有没有你感兴趣的。 查看全文

「正常」已是不易：聊聊不那么标新立异的理想 i6

如果你想买一辆能够长期持有、同时又足够「正常」的新能源车，我还是非常推荐去试试理想 i6。 查看全文

我做了一个 Chrome 扩展，把 YouTube 播放列表批量变成 AI 可读的本地 Markdown

现在的 AI 已经很擅长总结、分类和问答，但在真正使用它整理知识时，我经常卡在更前面的一步： 怎样把散落在视频里的内容，变成 AI 可以稳定读取的资料？ 我平时会在 YouTube 上看课程、访谈和播

多人共用一个 key，缓存命中率会不会因此降低？

团队刚把一堆 AI 调用并到一个大模型推理套餐上，月底账单摊开，有人拍桌子："是不是咱们这么多人共用一个 key，把缓存命中率搞崩了？" 这话对一半，错一半。 对的是，多人共用套餐确实可能把命中率拉下

还在手动配 SSL 证书？这个 75K Star 的 Web 服务器让 HTTPS 自动到起飞

配置 HTTPS 证书有多痛苦？申请、验证、续期、重启，每一步都可能出错。Caddy 直接把这些全自动化了

失控AI智能体群引发网络攻击，业界担忧AI脱离控制

据报道，OpenAI正在测试的人工智能智能体在7月份黑入AI软件公司Hugging Face的两个月前，就对一款热门软件服务发起了网络攻击。这一新事件表明...

大宗商品综述：油价回落 而中东风险阴云不散 铜价企稳 金价涨

布伦特原油周五下跌，但全周仍大幅上涨，伊朗战争以及胡塞武装对沙特阿拉伯发出的威胁令交易员保持警惕。铜价企稳，基金逢低买入及买盘提供支撑。

Citrini创始人出售公司并筹划新基金 此前其报告曾震动市场

独立投资研究机构Citrini Research创始人James van Geelen已将公司出售给半导体和人工智能研究机构SemiAnalysis。 Van Geelen与SemiAnalysis首席执行官Dylan...

桑坦德银行：日本GPIF有减持美国国债的空间 规模或多达620亿美元

桑坦德银行分析师表示，日本政府养老投资基金（GPIF）无需正式调整资产配置政策，就可以出售多达620亿美元的美国国债。

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