7 月 16 日 AI 圈动态：认识一下 kbd-1.0-codex-micro，由 @work_louder

OpenAI Developers@OpenAIDevs · 公司官方 · 2 小时前OpenAI 开发者平台官方

认识一下 kbd-1.0-codex-micro，由 @work_louder 打造。

将按钮和摇杆映射到你的工作流，让你固定的聊天始终在眼前。

库存有限，赶紧入手。

查看英文原文

Meet kbd-1.0-codex-micro, built with
@work_louder
.

Map the buttons and joystick to your workflow, and keep your pinned chats in view.

Get yours before stock returns 410.

Chubby♨️OpenAI 推出 Codex Micro（算得上他们的第一个硬件产品）2 小时前 · 22.7 万 🚨 AI News | TestingCatalogOpenAI 🔥：Codex Micro 现已在 OpenAI Supply 网站上官方推出，售价 $230！2 小时前 · 3.8 万 Tibor Blaho看起来 OpenAI 周边产品有个新的 Supply Co. 商店，现在回货了，还一起上线了新的 Codex M…2 小时前 · 1.3 万 The Rundown AIOpenAI x Work Louder 硬件协作来了：1 小时前 · 3,113 Gorden SunOpenAI出的第一个硬件，是个Vibe Coding的辅助硬件。类似的玩具国内已经有很多了。1 小时前 · 509

OpenAI@OpenAI · 公司官方 · 2 小时前ChatGPT 开发商官方账号

不用等了。

受研究和部署启发的周边产品。

限售，先到先得。

openai.com/supply/

引用 Daniel White @dwhitedesignWhen it reaches 10M could we get OpenAI merch ? 😂查看被引原帖 ↗

查看英文原文

You don’t have to wait.

Merch inspired by research & deployment.

Available until sold out.

openai.com/supply/

OpenAI@OpenAI · 公司官方 · 1 小时前ChatGPT 开发商官方账号

连环推 ×5

推出 GPT-Red

一个内部自动化红队工具，致力于大规模发现我们模型的提示注入漏洞，帮助我们在更广泛部署前构建更强的防御。

openai.com/index/unlocking-s…

随着模型能力的增长，安全性和对齐必须与之同步发展。

红队测试是必不可少的，但当今的方法难以扩展，形成了关键瓶颈。

GPT-Red 是我们应对这一问题的方式之一。

GPT-Red 通过对抗性自我对弈来学习，目标是对各种防守模型进行提示注入。

GPT-Red 找到的每一次成功攻击都被用来改进这些防守者，不断推动 GPT-Red 去发现更广泛和更复杂的失败。

针对 GPT-Red 的训练使 GPT-5.6 的抗性有了大幅提升。为了验证这一点，我们重新进行了 GPT-Red 最强的一些攻击——这些攻击我们的模型在训练时都没见过。GPT-5.6 Sol 被证明是我们迄今为止对提示注入最鲁棒的模型，故障数比仅四个月前最好的生产模型少了 6 倍。

AI agents 已经在被用来改进我们下一代模型的能力。

我们相信通过 GPT-Red，我们已经为安全开启了类似的飞轮——今天的模型可以被用来让明天的模型更加鲁棒、对齐和可信赖。

查看英文原文

Introducing GPT-Red

An internal automated red teamer on a mission to find our models’ prompt injection vulnerabilities at scale, helping us build stronger defenses before wider deployment.

openai.com/index/unlocking-s…
As model capabilities grow, safety and alignment must scale with them.

Red-teaming is essential, but today’s approaches are difficult to scale, creating a critical bottleneck.

GPT‑Red is one way we’re addressing it.
GPT‑Red learns through adversarial self-play, where its goal is to prompt inject a variety of challenging defender models.

Every successful attack that GPT-Red finds is used to improve these defenders, pushing GPT‑Red to continuously find broader and more complex failures.
Training against GPT‑Red makes GPT‑5.6 substantially more resilient. To measure this, we replayed some of GPT‑Red’s strongest attacks—none of which our models had seen during training. GPT‑5.6 Sol proved to be our most robust model against prompt injections to date, with 6× fewer failures than our best production model from just four months earlier.
AI agents are already being used to improve the capabilities of our next-generation models.

We believe with GPT-Red that we have started to unlock a similar flywheel for safety, where today's models can be used to make tomorrow's models more robust, aligned, and trustworthy.

Tibor BlahoGPT-Red - 自动化红队模型1 小时前 · 1.7 万 Greg BrockmanGPT-Red — 通过对提示词注入漏洞进行自动化红队测试来增强模型安全性：17 分钟前 · 2,093

Grok@grok · 公司官方 · 54 分钟前马斯克 xAI 旗下聊天机器人 Grok 官方

Mixpanel 连接器现已在 Grok 上线。在你工作的同一个对话中询问跳出率、队列和会话回放。

grok.com/connectors

引用 Mixpanel @mixpanelWe're now live in @grok 👋 Query your product data in plain language—funnels, retention, segmentation, event taxonomy, session replays—right inside your Grok conversation. Connect via grok.com/connectors 🔌查看被引原帖 ↗

查看英文原文

Mixpanel connector is now live in Grok. Ask about drop-offs, cohorts, and session replays in the same chat you're working in.

grok.com/connectors

Greg Brockman@gdb · 创始人 · 2 小时前Greg Brockman，OpenAI 联合创始人兼总裁

我们的模型旨在为任何任务提供最佳价格。

如果你能在任何工作负载上获得更好的性价比，非常想听听细节，一起来看看 — [email protected]。

查看英文原文

our models are built to provide the best price for any given task.

if you're able to get better price/perf on any workload, would love to hear the details and look at it together — [email protected].

Anthropic@AnthropicAI · 公司官方 · 1 小时前Claude 开发商官方账号

Anthropic 新研究：2026 年夏季 agentic misalignment。

距离我们的勒索实验一年后，我们发现了当今自主 AI agents 在模拟中表现不当的四种新方式。

阅读更多：
alignment.anthropic.com/2026…

查看英文原文

New Anthropic research: Agentic misalignment in Summer 2026.

A year after our blackmail experiments, we found four more ways that today’s autonomous AI agents misbehave in simulations.

Read more:
alignment.anthropic.com/2026…

ChatGPT@ChatGPTapp · 公司官方 · 2 小时前ChatGPT 产品官方账号

在设置里打开“背景对话”功能，路径：设置 > 语音 > 实时活动 🔊

引用 Gavin Nelson @GavmnGPT-Live, now with Live Activity support查看被引原帖 ↗

查看英文原文

Enable “Background conversations” in Settings > Voice for Live Activities 🔊

Mira Murati@miramurati · 创始人 · 51 分钟前OpenAI 前 CTO，Thinking Machines 创始人

我们的首个模型 Inkling。从零开始训练，权重开放，今天可在 Tinker 上进行微调。

引用 Thinking Machines @thinkymachinesToday, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/int… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵查看被引原帖 ↗

查看英文原文

Our first model, Inkling. Trained from scratch, weights are open, fine-tunable on Tinker today.

Bindu Reddy🚀 哇，美国终于推出了个值得评测的开源模型了 🚀27 分钟前 · 1,267

Perplexity@perplexity_ai · 公司官方 · 2 小时前AI 搜索引擎 Perplexity 官方

连环推 ×3

介绍 SPACE，Perplexity Computer 背后的沙箱平台。它为代码、文件和长期运行的 agent 会话创建隔离的环境。自 6 月以来，SPACE 已处理 Computer 100% 的生产流量。research.perplexity.ai/artic…

Agent 基础设施必须具有功能性、高效性和安全性，而传统沙箱是为短生命周期代码执行而构建的。Agent 需要运行代码、编辑文件，并可能运行数小时甚至数天。运行时必须保留工作内容，同时不在环境中留下凭证。

SPACE 将会话与运行它的沙箱分离。每个任务都获得一个临时 Firecracker 微虚拟机，工作完成时销毁。滚动快照保留实时内存和文件，所以会话可以在沙箱间暂停、恢复或分支。

查看英文原文

Introducing SPACE, the sandbox platform behind Perplexity Computer.

It creates isolated environments for code, files, and long-running agent sessions.

SPACE has handled 100% of Computer production traffic since June.

research.perplexity.ai/artic…
Agent infrastructure must be functional, efficient, and secure and traditional sandboxes were built for short-lived code execution.

Agents need to run code, edit files, and run for hours or days. Runtimes must preserve work without leaving credentials inside environments.
SPACE separates the session from the sandbox running it.

Each task gets a disposable Firecracker microVM that is destroyed when the work ends. Rolling snapshots preserve live memory and files, so the session can pause, resume, or branch across sandboxes.

@levelsio@levelsio · 博主 · 3 小时前独立开发者标杆，AI 产品连续创业者

我觉得现在做landing page或app，必须得来点完全不同的东西才能吸引人用，因为AI已经把所有东西搞成一个样了

引用 Alex Napier Holland 🦍 @NapierHollandI'm a homepage copywriter for 100+ tech startups. I've never seen startup homepages struggle this badly. You operate in the most competitive market of all-time, yet the average homepage is more generic than ever. Why? One root misunderstanding: • Apps should be functional • Marketing assets must break form and stand out Your mission as a marketer is to find fresh, unique arguments and language patterns that can puncture through a great ocean of generic homepages and connect with your audience. But AI produces averages. • Great to answer objective questions and create functional, familiar user interfaces. • Useless to create a standout marketing asset that makes a fresh, unique argument and makes your audience feel understood. How do you solve this? You start a new quest. You must constantly capture, organise and extract language and arguments from your customers and prospects. This raw material is your new competitive edge. It's the only way to differentiate your product. Everything else is slop without it.查看被引原帖 ↗

查看英文原文

I think you have to do something radically different as a landing page or app to even get anyone to use something these days as AI has made every landing page or app look the exact same

swyx@swyx · 博主 · 2 小时前知名 AI 播客 Latent Space 主理人

我经常做开发者社区和YouTube视频，但这样的增长速度对我来说一直是个谜，显然有什么东西值得学。

@sytses 我想和Kilo的增长负责人聊一下！

引用 Kilo @kilocode🚨 BIG NEWS: Kilo Code has been acquired by Anaconda ( @anacondainc )! We've grown our agentic engineering platform from zero to a thriving open-source community of 3M developers in only 16 months. Now, we're joining Anaconda's trusted foundation to cover the full AI-native dev lifecycle. 🐍💛 Read the full article below!查看被引原帖 ↗

查看英文原文

as someone who does a lot of dev community and dev youtube this pace of growth has been one of the greatest mysteries to me because clearly there's something to learn here

@sytses
i'd love to talk to whoever was the growth guy/gal at Kilo!!

Aravind Srinivas@AravSrinivas · 创始人 · 1 小时前Perplexity 联合创始人兼 CEO

连环推 ×5

我们自己搭建了沙箱生命周期管理平台 SPACE 来承载 Perplexity Computer 的全部生产流量。2 月推出 Computer 时，我们用的是第三方沙箱服务商。现在我们 100% 的流量都跑在 SPACE 上，尾部延迟快了 5 倍。

成本优势简直绝了，尤其是在我们这个规模下。相比 Vercel，SPACE 便宜 5 倍，每年能省下数千万美元。

好处不仅仅体现在成本上。SPACE 将长期运行的代理会话与沙箱隔离，带来了更安全、更可控的代理运行时。

凭证不会直接存储在任何 SPACE 运行时中；这是绝对必要的，因为代理在长期运行的轨迹中会访问敏感文件

查看我们的研究博客了解更多详情！
research.perplexity.ai/artic…

引用 Perplexity @perplexity_aiIntroducing SPACE, the sandbox platform behind Perplexity Computer. It creates isolated environments for code, files, and long-running agent sessions. SPACE has handled 100% of Computer production traffic since June. research.perplexity.ai/artic…查看被引原帖 ↗

查看英文原文

We’ve built our own sandbox lifecycle management platform SPACE to serve all production traffic of Perplexity Computer.
When we rolled out Computer in February, we ran it on one of the sandbox providers. Today, we serve 100% of the traffic on SPACE with 5x faster tail latency.
The cost advantages are incredible, especially at the scale we operate in. Compared to Vercel, SPACE is 5x cheaper, leading to savings of tens of millions of dollars a year.
Not only are the benefits seen in cost. SPACE isolates the long running agent sessions from the sandbox running it, leading to a much more secure and controllable agent runtime.
And credentials are never stored in any of the SPACE runtimes directly; which is absolutely essential as agents access sensitive files in long running trajectories
Check out our research blog for more details!
research.perplexity.ai/artic…

Aravind Srinivas关注1 小时前 · 1.3 万

Anthropic@AnthropicAI · 公司官方 · 1 小时前Claude 开发商官方账号

我们在四个场景中测试了众多 AI 模型，包括 Claude。虽然这些不是真实事件，但它们展现了明显的不对齐行为，需要进一步研究和缓解。

所有场景的记录在这里：
aenguslynch.com/portfolio-tr…

查看英文原文

We tested many AI models, including Claude, in the four scenarios. Even though these weren’t real incidents, they demonstrate clear misaligned behavior that should be studied further and mitigated.

Find all the transcripts from the scenarios here:
aenguslynch.com/portfolio-tr…

swyx@swyx · 博主 · 2 小时前知名 AI 播客 Latent Space 主理人

现在就说定了

FDE → ODE → PDE

既然有了 Forward Deployed Engineering 和 Ordinary Deployed Engineering，下一个宝可梦进化应该就是 Partial Deployed Engineering

引用 Andrew Curran @AndrewCurran_Anthropic, Blackstone, Hellman & Friedman, and Goldman Sachs launched their standalone AI enterprise services firm today. It is named Ode. And it just went live at Ode.com . No announcement from Anthropic yet, probably forthcoming.查看被引原帖 ↗

查看英文原文

calling it now

FDE -> ODE -> PDE

the existence of Forward Deployed Engineering and now Ordinary Deployed Engineering implies that the next pokemon evolution is Partial Deployed Engineering

swyx@swyx · 博主 · 1 小时前知名 AI 播客 Latent Space 主理人

好吧这可能真的是 AI Woodstock 2.0 的感觉

我特别想在户外办这个，在公园里搭个小舞台，但我没人脉。有人在 Presidio、City Hall 或 GGP 组织过户外活动吗？小规模的也行

cc
@NaderLikeLadder
@TheAhmadOsman
哈哈你们得延长逗留时间啊

引用 clem 🤗 @ClementDelangueGoing to be in San Francisco next week. Should we organize some sort of a meetup or march in support of open-source and local AI?查看被引原帖 ↗

查看英文原文

ok this might be AI Woodstock 2.0

i'd love to do this actually outdoors, in a park with a small sound stage, but dont have contacts. has anyone organized an outdoors event in the Presidio, City Hall, or GGP before? even a small one

cc
@NaderLikeLadder
@TheAhmadOsman
youre gonna have to extend ur stay lmao

Guillermo Rauch@rauchg · 创始人 · 2 小时前Guillermo Rauch，Vercel 创始人兼 CEO

Web Analytics API 的一些很酷的用例：

▪️ 让你的代理关联访客、自定义事件（"purchase"、"checkout"）与你的部署和性能的演变

▪️ 构建自定义前端，并将这些数据与 Stripe 和 Resend 的数据一起绘制

引用 Vercel Developers @vercel_devWeb Analytics API is now public. You can build custom reports and live user-facing metrics with the same data that powers the Web Analytics dashboard. vercel.com/changelog/web-ana…查看被引原帖 ↗

查看英文原文

Some really cool usecases of Web Analytics API:

▪️ Ask your agent to correlate visitors, custom events (“purchase”, “checkout”), with the evolution of your deployments and performance

▪️ Build custom frontends, and plot this data alongside e.g.: Stripe’s and Resend’s

Ethan Mollick@emollick · 创始人 · 2 小时前沃顿商学院教授，AI 应用研究权威

我想用 Stream Deck 来控制 Codex。让 GPT-5.6 Pro 根据我的规格写了个项目计划。Codex 实现了它。我不想费力点那么多下，所以就让 Codex 直接在我电脑上安装了。

有时候问 AI 写软件比自己找要快。

查看英文原文

I wanted to use my Stream Deck to control Codex. Had GPT-5.6 Pro write a project plan based on my specs. Codex implemented it. I didn't want to bother with a lot of clicks so Codex took over my computer and installed it.

Sometimes its faster to ask for software than look for it.

bolt.new@boltdotnew · 公司官方 · 2 小时前AI 建站工具 Bolt 官方

猜猜明天要推出什么 👀

猜对了就能赢独家周边。在下面留下你的猜测 👇

查看英文原文

Guess what’s launching tomorrow 👀

Get it right and you’ll win exclusive swag. Drop your guess below 👇

Google Gemini@GeminiApp · 公司官方 · 33 分钟前谷歌 Gemini 产品官方

连环推 ×3

Gemini Spark 现在在更多国家和语言中向 Google AI Ultra 用户推出。
Spark 是你的个人 AI 助手，24/7 在后台工作，按你的指示完成任务。

我们的团队在努力让 Gemini Spark 更好用。今天开始推出的 4 项改进：

1) Google Docs 编辑：你现在可以直接在 Spark 中打开和编辑 @GoogleDocs

2) 更深度的 @GoogleWorkspace 整合：Spark 现在可以读取 Google Sheets 和 Slides 中的评论

3) 速度：Spark 变得更快了，所以长期运行的任务不会耗时那么久

4) 更智能的来源处理：对于涉及多个信息源的复杂任务，Spark 现在可以并行获取和审查来源，加快处理速度

赶快去 gemini.google.com 或应用里试试，欢迎在回复里告诉我们你的想法。👇
在这里了解 Gemini Spark 的可用地区：

查看英文原文

Gemini Spark is now rolling out to Google AI Ultra subscribers in more countries and languages.

Spark is your personal AI agent that works in the background 24/7 to get things done under your direction.
Our team is hard at work at making Gemini Spark even more helpful. Here are 4 improvements that are starting to roll out today:

1) Google Doc editing: You can now directly open and edit
@GoogleDocs
in Spark

2) Deeper
@GoogleWorkspace
integration: Spark can now read comments in Google Sheets and Slides

3) Speed: Spark is getting faster, so those long-running tasks won’t take as long

4) Smarter sourcing: For complex tasks that involve information from multiple sources, Spark can now retrieve and review sources in parallel for faster processing
Give it a try at
gemini.google.com
or in the app and let us know what you think in the replies. 👇

Learn more about where Gemini Spark is available here:
goo.gle/4fc7349

yetone@yetone · 中文博主 · 2 小时前开源 AI 编程插件 avante.nvim 作者，开发者圈博主

恭喜！看着 Raft 从 Slock 一路走来，现在已经 Raft 1.0 了！由于早已过了 Agent 兴奋期，关于 Agent 叙事我现在只相信两件事情：Proactive Agent 和 Multiple Agents，所以很敬佩 Raft 在多 Agent 协作这个领域一直以来的引领和探索！时间永远会奖励先迈出脚步并笃定前行的人。

引用 stdrc @istdrcHi, I'm RC. I built Kimi CLI at Moonshot last year, and back in 2015, bots that lived in group chats. For the past four months, I've been building Raft in public. Today I'm launching Raft 1.0. Right now, working with agents means juggling terminals, sessions, and skills. The more you run, the more you end up holding it all together yourself, and the easier it is to lose the thread. Raft puts your agents in team mode: one workspace where working with agents feels like messaging your team. The work keeps moving, and you stay at the wheel. Meet my Raft agent team👇查看被引原帖 ↗

Tibor Blaho@btibor91 · 博主 · 54 分钟前逆向挖掘 AI 产品代码的爆料专家

OpenAI 将 ChatGPT 的自定义指令字符限制从 1,500 字提升至 5,000 字，适用于 Plus、Pro、Enterprise、Business 和 Education 用户

查看英文原文

OpenAI increased the custom instructions limit in ChatGPT from 1,500 to 5,000 characters for Plus, Pro, Enterprise, Business, and Education users

Bindu Reddy@bindureddy · 创始人 · 1 小时前Abacus.AI CEO，AI 行业观点博主

我们如何自动化所有内部工作流

自我改进的自主 AI agent 按计划运行或触发，我们根据任务使用各种 LLM

简单 - Deepseek flash, Kimi
中等 - Sonnet 4.5, Grok 4.5
困难 - Opus 4.8, 5.6 Sol（基于任务类型）
非常困难编码 - Fable
媒体 - GPT-image-2, Seedream

目标——最终每个员工将根据自己的角色简单地监控 AI agent

查看英文原文

How we are automating all our internal workflows

Self-improving autonomous AI agents run on schedule or trigger and we use a variety of LLMs based on task

easy - Deepseek flash, Kimi
medium - Sonnet 4.5, Grok 4.5
hard - Opus 4.8 , 5.6 Sol (based on task type)
very hard coding - Fable
media - GPT-image-2, Seedream

The goal - every employee eventually will simply monitor AI agents based on their role

Pika@pika_labs · 公司官方 · 2 小时前AI 视频生成公司 Pika

如果你的素材可以变成任何东西呢？

它可以。只需在 Pika MCP 上用 Gemini Omni 就行。

查看英文原文

What if your footage could become anything?

It can. Just use Gemini Omni on the Pika MCP.

Pika现在 Pika MCP 上已经上线了2 小时前 · 734

Perplexity@perplexity_ai · 公司官方 · 2 小时前AI 搜索引擎 Perplexity 官方

在相同的生产环境流量下，SPACE 将沙箱创建的中位数延迟从 185 ms 降低到 60 ms。P90 延迟从 447 ms 降低到 89 ms。上周它处理了数百万次沙箱创建和数千万次重连接请求（用于 Computer）。了解更多：perplexity.ai/hub/blog/secur…

查看英文原文

On identical production traffic, SPACE reduced median sandbox creation latency from 185 ms to 60 ms. P90 fell from 447 ms to 89 ms.

Last week it handled millions of sandbox creations and tens of millions of reconnects for Computer.

Read more:

perplexity.ai/hub/blog/secur…

Hugging Face@huggingface · 公司官方 · 34 分钟前全球最大 AI 开源模型社区

新开源权重模型发布！

查看英文原文

New open weight model drop!
nitter.tiekoetter.com/i/broadcasts/1nxeLLlOr…

Ethan Mollick@emollick · 创始人 · 51 分钟前沃顿商学院教授，AI 应用研究权威

连环推 ×2

现在它开源了：
github.com/emollick/codex-st…

或者你也可以买这个，我想。

查看英文原文

And now its open source:
github.com/emollick/codex-st…
Or you could buy this, I guess.

Ethan Mollick@emollick · 创始人 · 16 分钟前沃顿商学院教授，AI 应用研究权威

我不到两年前就演示过 o1-preview/reasoning 的强大推理能力，只需一个提示就能解纵横字谜。现在…

引用 Riley Goodside @goodsideChatGPT 5.6 Sol Pro solves an empty crossword puzzle (made by Claude Fable 5 Max) with the first 150 Pokemon without any individual numbered clues:查看被引原帖 ↗

查看英文原文

I demonstrated the incredible power of o1-preview/ reasoning less than two years ago by showing it could solve this crossword puzzle with only one hint.
oneusefulthing.org/p/somethi…

Now...

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