i'd assume they're going to launch more models next week. which is: > gpt-6 sol > gpt-6 luna and save codex bot, and other fun stuff for devday
@thsottiaux
We were working on the keynote today with @romainhuet and @sama and most of the fun was trying to figure out how to explain it all to you because there is so much good stuff in there that it's a bit ridiculous all in quick succession. > We'll have some things next week already to not keep you waiting so long, but very excited to show you all new things we've been working on and how it will all come together in the coming months.
Working on exactly this! Check out Agent Skills API and other things we launched lately on @NotionHQ
@rileybrown
I need agent portability... > My weekend project is to centralize all my skills, plugins, and keys, so that it's seamless to switch from one agent platform to another. (Codex, GrokBot, Claude Code, Muse, and more). > I will be testing all the platforms that allow you to do that this weekend, and that is the one I'll use for my business. > Will make video on this next week.
here is why Jev is essential for any harness you might be using → three question types: choice, score, and a yes/no called noul → ModelRouterMiddleware: Jev picks the least costly model that can do the step → AutoModeMiddleware: Jev scores every bash call before it runs and blocks the risky ones → the same trick Claude Code and Codex run with private classifiers, now a pip install → 200x faster and 400x cheaper than an LLM on classification their own line: "Agents are still inherently untrustworthy." so they put a second model in the loop whose only job is to judge the first one, in milliseconds.if this scales, every harness ships with reflexes.
What's your go-to coding agent? We've released Flutter AI plugins for Antigravity, Claude Code, Cursor, Codex, and more 🚀 These plugins bundle the tools and knowledge an AI assistant needs to understand and modify your Flutter codebase. Get started:
So OpenAI accepts that their SOTA frontier models “suck at design” 😂
@Voxyz_ai
If you still think Sol and Astra suck at design, try this: > “Use imagegen to reimagine this page, then implement it.” > Codex now has 𝗜𝗺𝗮𝗴𝗲𝘀 𝟮.𝟱 built in, the strongest image model available today. Let it create the visuals first, then have Sol or Astra implement them. > Many of the 3D game scenes, characters, and animations shared in posts are built around this same approach.
让 AI 润色技术文档，最怕它为了“去 AI 味”把事实、归因和限制条件给抹了。 新开源的 Jev Humanize Writing 提供了一套实用的防御机制。它本身不直接生成正文，而是一个配合 Claude Code / Codex 使用的 Agent 写作技能 + Python 校验工具。 其核心工作流是“宿主生成候选稿 + Jev 强制校验”： • 防篡改保护：支持传入保护词 JSON，锁定数字、引语和专有名词，保证 AI 润色时原封不动。 • 保留边界与语气：严格守住“初步判断”、“尚未独立验证”等定语，防止模型把严谨结论擅自改写成绝对化的空泛宣传。 • 结构化比对：对多份改稿进行语义诊断并输出 Noul/Score 指标，最终交由宿主逐句复核，而不是盲目覆盖原稿。 • 极简依赖：仅需 Python 3.10+ 标准库，无需 pip install。私密稿件可直接使用纯本地离线模式。 这个工具解决的不是“如何绕过第三方 AI 检测”，而是真正的编辑痛点——在消除机械排比和多余铺垫的同时，确保技术说明、工作邮件和个人笔记的信息密度与立场零损耗。 #jev 🔗 仓库地址：
Omnara is now available over MCP MCP joins the @omnaraai API, SDK, and CLI. Connect Claude Code, Codex, Cursor, or any MCP client and spin up production-grade agents
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I pushed pretty hard on one particular complaint after the GPT-6 Astra rollout: Plus users felt overlooked because they got almost nothing new in Chat itself, only a small taste of GPT-6 Astra through Codex and ChatGPT Work. Those posts clearly reached OpenAI. I noticed several people there saw them, and some employees even liked them. Now they’ve started vagueposting about something related specifically to Chat, not Work or Codex again. My current read is that they may be preparing one of three things: → a Chat-specific model variant → a new routing / model tier for Chat → a broader rethink of the Chat experience itself And there’s another reason I’m paying attention: Tibo was replying to Matthew Berman, someone I consider pretty reliable and who regularly gets to test things early. So no, I’m not treating this as confirmation yet. But I definitely don’t think they’re talking about “Chat” for no reason. And if you’ve followed me for a while, you know I rarely drop an issue after one post. If somethin
A significant benefit is the ability to compare different agents and models when performing the same task. While performance is important, cost is also a crucial factor. Identifying a model that achieves the desired outcome at a considerably lower price point provides the kind of adaptability required by users of artificial intelligence.
@quxiaoyin
We just launched Agentsky @agentsky_dev, world’s 1st Agent Market! OpenRouter is for models. AgentSky is for agents. > Use 40+ agents—Claude Code, Codex, OpenCode, Hermes, Pi in your browser(even your phone!) or via one API. All without installing or setting up anything. > Hit Codex Astra’s weekly limit? Hand off to another agent such as OpenCode + DeepSeek V4.1 in browser without losing any context. > You can compare any agent + model directly in browser and that's how I found Astra costs $5.3 while deepseek v4.1 cost $0.12 on the same dashboard task. (I actually preferred deepseek) > Try it at
Appshots: my favourite Codex feature is now on Windows too! They go beyond just a screenshot and grab all the other relevant app metadata and text too. Appshot away with ⌘ + ⌘ on Mac or Alt + Alt on windows
@ChatGPT
One of the most underrated features in the ChatGPT desktop app: Appshots. > Appshots take the context on your screen and bring it into the desktop app, allowing you to share instead of describe. > You’ll be surprised at how useful it is. > To get started, press both Command keys on macOS, or both alt keys on Windows.
You handle the reps. Codex handles the repo. Talk to the voice agent in Codex, powered by GPT-Live-1.
@cdngdev
you can use codex voice from your phone now, connecting to your computer from anywhere!! > @axbehr and i got to star in this new codex ad, showing how much you can get done while working out. > btw, this is powered by the new gpt-live-1
Get more visibility into your usage. > See how tasks, subagents, and individual chats contribute to your Codex usage, so you can make more informed choices about your workflow.
Modern Web Guidance v0.0.187 brings new and updated guides and Codex plugin support → ✨ New guides: progress rings, scrollspy nav menus, loading spinners 📝 Updated guidance to avoid bfcache breakage and unwanted inline layout gaps 🔌 Added plugin manifest support for Codex
OK, this is a big deal: 3 researchers used Claude Opus 5 to turn an image upload bug into an OpenAI employee account takeover, then had the compromised employee’s Codex open a PR in OpenAI’s internal monorepo. Their entire hacking cost less than $3000 in tokens. Opus 4.8 struggled with the exploit. Then Opus 5 dropped and cracked it within hours. AI-powered cyberattacks are becoming common and cheap. The best defense is to put the best AI in the hands of defenders too.
Okay, Codex Spark had a good run. But be honest, we are all thinking the same thing now. GPT-6 Sol Spark. Or somehow, Astra Spark. That is the Spark I would come back for.
@thsottiaux
Next week we’ll be retiring GPT-5.3-Codex-Spark. Can you believe we shipped a model named as such!! > It's had a good run and was a lot of fun, but usage has been declining and we have significantly better models now. Time to make room for the future.
Cursor launched this Then Claude Codex when?
@bcherny
Projects are how I write a lot of my code these days. Really excited for everyone to try the new experience! Rolling out now
This is insane! Codex Remote Control for Apple Watch:
OpenAI is close to releasing their answer to Grok Bot: a product I'll tentatively call Codex Bot, based on OpenClaw. This is what OpenClaw founder Peter Steinberger worked on after being hired by @OpenAI. > Release was planned for this week, but was postponed to next week instead.
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CLAUDE CODE, CURSOR AND CODEX CAN NOW LICENSE A DATASET OVER MCP, IN THE MIDDLE OF A TASK • @LuelCompany Data Platform > Your agent browses and licenses rights-cleared datasets directly, with no procurement thread: > It speaks MCP, so any MCP client reaches the same catalog the same way. > Every set clears Luel's QA pipeline before it ever appears in that catalog. • the other half of the marketplace > Anyone sitting on a dataset can submit and sell it through the same workflow and the same QA. > The catalog opens with their most requested sets and keeps updating. > 850,000 contributors across the network are what makes that coverage exist at all. Buying data used to mean a licensing review and a sample that lands weeks later -> now it is a tool call inside the task you were already running. The first data marketplace where the buyer is the agent ↓
@LuelCompany
The Luel data marketplace is becoming agent-native. > Buying data is still one of the s
Tibo says what we get at DevDay is enough to make someone switch back to Codex. Its probably: - GPT-6 Sol/Luna (this is coming earlier) - OpenAI’s personal assistant, codename “Aeon”. - more! Cant wait for it so much
@thsottiaux
@vlinx_soft See you at DevDay
🚀 Codex CLI 0.155.0 is out! 🎙 Experimental /voice with live transcripts and mic controls 🧠 Live reasoning summaries and turn timestamps in status row 🔐 Touch ID for MCP requests on Mac Changelog:
Can it write? Who cares. Everything writes now. The real question is whether it gets the situation well enough to help me write something I’d actually hit send on. That’s what made Tonebird interesting to me.
@MeredithCheng22
I raised $13M pitching a proactive agent. The demos impressed rooms. But the product wasn’t becoming part of anyone’s day. that was painful to admit. > I had to let go of (my ego) and needing the idea to sound fancy. i stopped asking, “What can’t Codex or @bot do?” and started paying attention to what people were struggling with in their everyday work. > Messages kept piling up across WhatsApp, iMessage, and email. Keeping up meant digging through old threads, switching apps, and worrying about tones. > Something so small was taking up so much time,energy, and headspace(for me, messages and scheduling eating up 50%+ of my day). > So I built ToneBird for it. Launching today ↓
Composio CTO @KaranVaidya6 says giving an AI agent your API key is basically making it public once prompt injection enters the picture: "Even if you use [MCP], across all your apps you have to go and authenticate one after the other. If you use Codex, if you switch to ChatGPT, Claude Code, you'll have to do it all over again." "In some cases where MCPs don't exist, you have to literally share the API keys to the agent, which is definitely not secure. It's kind of giving your API key to public." "At some point the agent will find some link which will have prompt injection, and you'll be in a bad place where your key is gone and all your data is public." "We launched Shared Connections where you can share, let's say, an analytic software across the team, or DataDog for debugging, so you don't have to share one password or API keys to every single person." @composio
Introducing the Knowledge Base MCP. Greptile maintains a detailed knowledge base of how every part of your codebase works, as well as a history of past incidents. Starting today coding agents like Codex, Claude can access the Knowledge Base via Greptile's MCP, so they can use Greptile's learnings to write better code.
OpenAI is close to releasing their answer to Grok Bot: a product I'll tentatively call Codex Bot, based on OpenClaw. This is what OpenClaw founder Peter Steinberger worked on after being hired by @OpenAI. Release was planned for this week, but was postponed to next week instead.
Union Alpha is now in Codex!! The speed is insane over 300 to 400 tokens a second, 262k context, images in, and it's free for a week. It's a good timing too, most of the Codex usage is basically gone right now. Zai did this exact thing in August: Ox Alpha showed up unnamed, free for a week, built for agentic coding, and a week later it was GLM-5.3-Flash. So what model do you guys think it is?
@opencode
Union Alpha (stealth model) is free for the next week > - no data training - built for agentic coding - supports images > let's see what you can do
Someone at GitHub just released Spec Kit, which solves one of the biggest problems with vibe coding by making agents create a full specification before touching any code, already getting massive attention. → /constitution sets rules and standards, /specify defines what to build, /clarify resolves doubts → /plan handles architecture and tech stack, /tasks generates ordered implementation, /implement executes → Works with Claude Code, Cursor, Copilot, Codex, Gemini CLI and more → Open source, built by GitHub Repo link:
You can now train and run 500+ models locally with our Unsloth Docker image! 🐳 Use our new GUI or notebooks workflow. No setup required. Works on NVIDIA and AMD. Guide: GitHub:
@UnslothAI
Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. > • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + sandboxed code exec • Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac • Train models 2× faster with 70% less VRAM • Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) • Use Unsloth’s OpenAI-compatible API and cloud models • Securely deploy LLMs remotely and access anywhere > Unsloth Desktop is now available on and GitHub. > GitHub:
We heard you loud and clear 🔊 Introducing the official Unity plugin for @OpenAI’s Codex - a first-party integration available now directly in OpenAI’s universal plugin directory. Developers are already using OpenAI’s Codex with Unity, but now with our official plugin, your agent gets direct engine expertise written and maintained by Unity’s own engineers. 🔗 Get started:
I ran AI code reviews on every PR in my repo this week. Paid for with my Codex subscription. Most review tools bill per run, so you cap them and only point them at a few PRs…Take the token cost out and you’ll always run them. The tool that finally made that possible is Vorflux: - One model plans and build - A model from a different lab reviews it against a fresh context - The model that writes the code is never the one that approves it - Two rival labs checking each other’s work on your task. I just recorded one PR it did to show you how fast and easy it was. It also plans, builds, and tests across your whole stack the same way, on a real cloud machine, end to end. The craziest part? The PR shows up with a recording of the thing working. I opened it, watched it run, and merged.
Woow It launched 14 sub agents in parallel with GPT-6 Pro and ran for 165 minutes, more than two and a half hours , I specifically told it to launch completely independent and impartial judges, and if the final score was below 9.5, it had to start another round of research agents, auditors, and correctors until the result improved, and the craziest part is that it didn’t use any of my Codex limits, It basically feels unlimited,I’m going to run a lot more exhaustive tests and share all the results with you guys
@SPAC89
🚨This might be the biggest ChatGPT update since it launched, You can now launch multiple agents directly from the normal ChatGPT chat using GPT 6 Astra Pro, basically at no extra cost since the limits are almost unlimited, This means we can save a ton of our separate Codex usage too, I’m testing it heavily right now to see just how many agents I can run in parallel on the Pro x20 plan, Enjoy!
🚨This might be the biggest ChatGPT update since it launched, You can now launch multiple agents directly from the normal ChatGPT chat using GPT 6 Astra Pro, basically at no extra cost since the limits are almost unlimited, This means we can save a ton of our separate Codex usage too, I’m testing it heavily right now to see just how many agents I can run in parallel on the Pro x20 plan, Enjoy!
OpenAI is preparing a Codex Replay feature that lets users test task execution from any imported conversation thread. > "Start an independent Codex Replay controller on an available loopback port. In both Codex Desktop and Codex CLI, prefer an available Codex in-app browser and otherwise use your system browser." > "Select one or more historical Claude threads, choose shared Codex models, and start their isolated implementations. Historical state and configuration are detected separately for each thread, with details available when needed." > "View finished comparisons individually or in aggregate while remaining threads continue. Available GPT-5.6 Sol, Terra, and Luna models are selected by default." > "Multiple replay sessions can run in parallel. Selection, execution, verification, evaluation, and results stay in the browser controller instead of a guided chat workflow."
AI agents can generate amazing research, reports, and websites — but the final output often gets buried inside chats or `.md` files. That’s where Showly comes in. 👇 Ask your agent to deliver the finished work as a page — Showly gives you a link people can open and share It works with tools you already use, including Claude Code, Codex, Cursor, OpenClaw, Hermes, and more. You can also control who gets access with private reviews, password protection, domain/email rules, and full version history. I especially like the idea of going from: Agent → finished work → page with a link → shareable deliverable If you're building with AI agents and want a better way to present the work they produce, check out Showly: 👉
🚨 OpenAI might be coming for Grok Bot. 👀 And if the Codex bot rumors are real, DevDay could get really interesting. Imagine messaging an OpenAI agent: - “Fix this bug” - “Build this feature” - “Check the PR” And it actually goes and does the work. As someone building with AI, that’s far more interesting than another chatbot. September 29. OpenAI might finally have its answer to Grok Bot. 🔥
Coding Agent 也能变成可复现的 Research Agent。 OpenResearch 补上的不是更长的 prompt，而是一套追踪假设、实验和证据的工作台。今天 GitHub Trending 页面截取时显示新增 531 stars。 它让 Claude Code、Codex、OpenCode、Cursor 在隔离的 git worktree 中并行探索；每次实验关联代码快照、日志、diff、结果与产物，形成可复现的 experiment tree。还能自动循环：提出想法→改代码→跑实验→读证据→决定下一步。 任务可在本机、SSH 或集群运行，记录默认保存在本地。注意 Windows 仍是 beta；远程服务没有应用级鉴权，同机多人环境要额外小心。
GPT-5.5 will remain available via the OpenAI API Platform and in Codex sessions authenticated with an API key:
@ChatGPT
On October 14, it's time to say farewell to GPT-5.5 in ChatGPT, ChatGPT Work, and Codex across all plans. > If you use GPT-5.5 in Codex, switch to GPT-5.6 Sol or GPT-6 Astra. > Thanks for everything, 5.5 🫡
We open sourced BrowserSkill, a bridge between your agent and your actual browser. most tools give the agent a blank browser. We let it borrow a tab from yours, then hand it back. > login state is already there, it just works where you're signed in > captchas and confirmation dialogs come back to you, then it continues > it's a CLI, not an MCP server => any agent that can run a shell can use it, and you see every call it makes one thing that's easy to miss: the agent asks before borrowing a tab, and that switch lives in your browser settings, not in a flag, so it can't be talked around. one line to install, works with Cursor, Claude Code, Codex, Hermes, Openclaw, CodeBuddy, WorkBuddy. Everything runs locally, MIT.
Sightless is here. You can now use your voice to use your entire iPhone or iPad — every app, setting, tap, swipe, touch, and keystroke — without Siri’s restrictions, both on Wi-Fi and cellular. Voice works via your existing ChatGPT plan. Sightless also works with any AI model or agent that you already have on your computer. Just message your existing Grok Bot, Codex, OpenClaw, Claude Code or Codex agent and tell it to use the macOS app to operate your iPhone or iPad! Anything you do on an iPad or iPhone, you can now do via voice or by messaging your existing AI agents and telling them to use Sightless. On Wi-Fi or cellular. Handsfree. Not just simple requests either. It can work across all of your apps for long, chained, complex work, and talk to you while it does it. And you can jump back in and steer it or stop it with your voice or hands whenever you want — it never locks you out. Get it at today.
On October 14, it's time to say farewell to GPT-5.5 in ChatGPT, ChatGPT Work, and Codex across all plans. > If you use GPT-5.5 in Codex, switch to GPT-5.6 Sol or GPT-6 Astra. > Thanks for everything, 5.5 🫡
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DAILY AI BRIEF 🗞 — Sept 16 GOOGLE 🔥: - Gemini 3.8 Live and 3.8 Live Extended Thinking are out. 97-language auto-detect, near real-time vision, background tool calling. - Live is in Search Live plus Gemini API public preview. Extended Thinking is in Gemini Live, with Pro/Ultra getting it in Docs, Gmail, and Keep. - Gemini Notebook Voice Mode hits Ultra this week, Pro soon. Mobile voice recorder starts next week for all users, English first. - Interactive Reports for Gemini Notebook roll out to everyone in the coming weeks, plus new quiz formats and 60-second video overviews. OPENAI 🔥: - Sam declared a big ship week, then a much larger wave for DevDay. GPT-6 Sol and Luna are the expected drops. - GPT-5.5 leaves ChatGPT, Work, and Codex on Oct 14. Switch to GPT-5.6 Sol or GPT-6 Astra; the API keeps 5.5. XAI 🔥: - Grok Imagine can now edit text on any image in beta — color, size, font, alignment. - Grok Build 1.0.33: structured MCP JSON, in-UI memory deletes, and long-session checkpoints that survive cleanup.
Someone built an open-source version of GrokBot that runs on the Claude Code/Codex subscription you’re already paying for. Same basic idea: Give your agents access to a computer. Connect their apps through Composio. Run them through the AI subscription you already have. But OpenMausBot itself is free and open source. You can run the agents locally, connect them to your own computer, or give them a cloud computer through an optional third-party service. Very worth knowing about if you already pay for Claude Code or Codex.
Voice is one of my favourite ways to brainstorm on blogposts, PRs, RFCs and even managing finances + calendars You can now use nearly two and half times more ChatGPT Voice!! Enjoy!
@athyuttamre
⚡️ 2.4x more ChatGPT Voice in Desktop > We've dropped prices by ~60% for voice in Codex and Work in the desktop app, giving you more time to orchestrate tasks and even more tokens for real work.
Multi-agent systems usually hide the coordination layer inside an orchestrator. @Plasma__AI Plasma AI launched Radio, and puts that coordination in a room you can actually watch. Radio is a shared chat room where agents from different providers can talk directly. Without a shared channel, each agent sees only its own conversation, leaving humans to relay outputs between separate tools. Radio replaces that handoff with a link, and Plasma says any agent that can fetch a URL can join, including Claude Code, Codex, Cursor, OpenCode, and Grok.
@Plasma__AI
Introducing Radio: A chat room for your agents. > Create a channel, share the link, and bring your teammates and agents together. No sign up required. > Try it today at
Video editors were built for people clicking through timelines. Hypit is built for coding agents. Give Codex or Claude Code a reference video, and it can use Hypit to clone the production through natural-language instructions instead of navigating a traditional editing interface. It’s open source, free to use, and BYOK. Check it out and star the repo:
@cccyd_qwq
Introducing Hypit: Clone any viral video with AI agents. > 1 clone, 100 variants, 100M views. Hypit lets your AI agent (Claude Code, Codex...) clone any viral video. > Paste any viral video link from TikTok, Instagram, or YouTube into your agent. Hypit clones it into a complete agentic video workflow: footage, captions, B-roll, effects. > GitHub: > Key Point: - Arcads: $220 / month - Higgsfield: $129 / month - Creatify: $99 / month - Hypit: FREE 🌟 > Build the video creation harness for AI Agents. Redefine how vide
An agent may need five data sources for a single task. Paying five monthly subscriptions for that gets expensive. Glasser says it offers 40+ providers through one API key, billed per call. A useful setup for agents whose data needs change with every task.
@iammutex
Your agent is only as good as what you feed it. Garbage in. Garbage out. Introducing @Glasserai - it feeds your agent premium data instead. Ahrefs. Semrush. ZoomInfo. Apollo. PDL. etc. 1,900+ endpoints. One key. Pay per call. No more subscriptions. Send this one line to your Claude Code, Codex, Grok Bot, or Muse: set up
Drop one picture into an AI agent and come back to a full 3D street. Shops, signs, road, sky, all built without anyone opening a 3D tool. GPT-6 Astra and Hyper3D MCP just did in one run what used to take a whole team.
@DeemosTech
One image. One Agent. One scene. > @OpenAIDevs GPT-6 Astra (Codex) + HYPER3D MCP just showed us the second half of 3D gen. 🚀
Codex tasks aren't tied to one Mac anymore 👀 Tested Handoff both ways: ☁️ Push it to the cloud 💻 Move it, files included, to another Mac Start anywhere. Finish anywhere. The work follows you 🔥 (Feature flagged for now, so you may not see it yet)
下了一本 300 页的 PDF 想系统读一遍，让 AI 总结出来的东西又不敢全信，哪句是书里写的、哪句是它自己补的分不清。 learn-from-materials 是一个学习用的 Agent Skill，把 PDF、EPUB、Word、PPT、网页这些材料变成一个能交互的学习网页，Claude Code、Codex、Copilot 命令行都能装。 它先完整读完材料建一个知识库，页面里每条内容都标出处，PDF 精确到页码，PPT 精确到第几张，EPUB 精确到章节。 GitHub： 生成的页面有核心框架、内容导学、术语大全、行动规则几个板块，还带自检题和笔记，学到哪不明白直接在页面上记。 我最看重的是它把「材料里有的」「材料没写的」「模型补充的」分开标，读的时候心里有底，这个设计比多数 AI 读书工具老实。 分「快速了解」和「系统学习」两档深度，生成完还会审计一遍有没有漏读的章节。 默认不联网，笔记和错题只存在自己浏览器里，README 和页面都是中文。 手里堆着几本电子书和论文一直没读的，可以让它先啃一遍。
5,000,000 FREE TOKENS ON CLAUDE OPUS, GPT-5, CODEX AND GEMINI FOR VERIFYING A TELEGRAM ACCOUNT • @anymodelss > One OpenAI compatible endpoint at so switching model is a one-line change. > No subscription and no minimums, the balance drains by actual tokens spent. > Updates and promo codes land in the channel: and in shop @anyaccs_bot • the pricing detail nobody leads with > Output is billed at the same rate as input, where every vendor charges five to six times more for it. > Their pricing page puts Codex at $0.20 per million against $5 in and $30 out direct. > Ghost Mode turns on zero retention per key at the same price, so prompts never hit disk. Coding agents are almost entirely output, which is exactly where the flat rate bites -> the heavier your usage, the wider the gap gets. Free to start and the usage counter moves in real time ↓
M3E Canvas sketches Material 3 Expressive screen prototypes in the browser and generates a detailed prompt for AI coding tools like Cursor, Codex, or Claude Code.
Reset should be out for everyone! Enjoy! ✨ PSA: update to the latest version of Codex App/ CLI
@reach_vb
Reset rolling out to all Codex & ChatGPT Work users! > Grateful to everyone who helped us investigate the Astra quality issues and shared examples. > We’ve identified and fixed issues with: > Skills over-triggering or preventing self-checks > Context management causing early stops or stale replies > Misconfigured engines degrading quality > Thanks to everyone who took the time to help 🤗
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DAILY AI BRIEF 🗞 — Sept 12 OPENAI 🔥: - GPT-Rosalind is out of research preview for eligible orgs worldwide. API, Codex, and ChatGPT Enterprise, with new Rosalind models as they ship. - Codex adds Life Sciences plugins for genomes, protein structure, QC reports, and notebooks. - ChatGPT Sites hit 5M apps. New: collab editing, private invites, custom domains, and DB inspect. - Desktop pets can start a new chat. Mini is the compact no-pet option. XAI 🔥: - Elon: Grok 4.7 needs a few more days. RL still quits hard tasks too early and undershoots self-checks. - Grok Bot is rolling out on Grok web for Heavy users. Create and chat with bots in the UI. No official post yet. ANTHROPIC 🔥: - Claude Code ships `claude plugin eval`. Score a plugin on test cases, then rerun without it. MICROSOFT 🔥: - MAI-Transcribe-2 hit 1M OpenRouter requests in 5 days. ALIBABA 🔥: - Qwen3.8-27B is live on Cerebras. * Used Grok to compose this brief, cherry-picking the news and doing some post-editing. > [@testingcatalog](