OpenAI 正在推动 ChatGPT Work 上线并投入运营。 很快?👀 https://t.co/zSYrkFDHQP https://t.co/uRR4XQFAvg


@testingcatalog · X


Anthropic keeps testing a new "Hub" feature internally, asking users to provide a feedback in case if they switch back to a normal chat. Claude Hub is ssumingly a task orchestrator component that Anthropic may plan to release broadly. https://t.co/IOi6fsSLNV




We are reseting usage for all paid users of Codex and ChatGPT Work. Please continue reading for an update on Codex usage limits. The team has been working around the clock, going through thousands of reports and shipping fixes. Depending on how you use Codex, you should see your usage go between 10% and 50% further than before. We really went with a fine comb, with many uncovered small things being longstanding and here is what we found and fixed: - Compaction. We were keeping old images during compaction, sometimes making the context large enough to trigger compaction again. After the fix, usage dropped around 10% for users making heavy use of images. Fixed. - Memory. Background memory workers could inherit Stop hooks and keep running when the hook wouldn’t let them finish. This affected fewer than 1% of users, with the long tail being pretty bad and we saw one example thread check whether it could stop 15,000 times. Fixed. - Goals. In some cases, a set /goal could finish and then keep going past the intended stop condition, or the model would keep retrying broken tools without stopping. We saw examples consume anywhere from 15% to 70% of a weekly allowance. Fixed. - Automations. Some custom schedules could run more frequently than configured. Fixed. - Subagents. Smaller models (e.g. Luna) sometimes picked more capable helpers without being explicitly asked. The same was true where the orchestrating model not running in /fast mode could request sub-agents to run /fast. Fixed. - Computer History. The older implementation could lead to repeatedly summarizing overlapping activity. For some cases we saw it consume up to one fifth of the weekly usage per week. Fixed. - Rolling task summaries. Ordinary turns were triggering extra background requests. These added about 1% to token usage. Small each time, but it adds up. We have disabled this. - MCP. Some tool results could be encoded twice. We also found tool instructions getting cut off and fetched again. Fixed. We’ve also made architectural changes to prevent these from regressing and our teams will get paged if it happens regardless. We are also working on showing you directly in the app where your usage goes so you don’t have to guess. Goes without saying that we’re resetting usage limits and I hope you enjoy a very nice Saturday!
推荐理由:原文逐项列出八类用量异常的原因与修复结果,读者可据此判断 Codex 付费额度实际能多用多少。






We’re ending our partnership with Cursor following its acquisition by SpaceX. Under our proposal, Cursor’s direct access to our models would end on November 12. We know that the people most affected by this decision are the developers who rely on OpenAI models in Cursor. We care about their experience in this transition and we’re ready to go above and beyond to support them. https://t.co/OzuCTzUjfX
Grok Bot 现在可以关联 Link 账号,代用户在网上下单购物。所有交易仍需用户批准,该功能目前仅在美国提供。
You can now resume your terminal sessions in the Claude Code desktop app. Type /resume to pick any session you started from the CLI. The session continues in the app with the full conversation and context intact. https://t.co/fdNi7paSrz
Grok 4.6 现已向 Grok 网页端和移动端的普通对话开放,此前该版本仅在 Grok Build 中提供。Grok 网页端 UI 也有小幅更新。
Meta 的 "Project Hatch" 将是一款集浏览器与电脑操作、长期目标、持久云环境、Spaces 于一体的超级应用,已在内测 Web、iOS 和 Android 独立应用。


SPACEXAI 🔥:Grok Bot 现在允许用户将机器人作为模板分享! 正如预言所言 👀 https://t.co/twOvQQXTjm https://t.co/tG0XsB9AwJ
ChatGPT Gmail 插件现在支持用户连接多个账号。 你用了几个账号?👀 https://t.co/edeVwtgciD https://t.co/fFsx0L62h6
multiple gmail accounts available in plugins now go to https://t.co/z0mNdII6Yj > plugins > gmail > connect another account available for gmail, calendar, contacts available in web, desktop, ios, android only in paid plans https://t.co/UeVqmsKIUi
最新构建还把“Connected Devices”选项直接移入了一个工具小组件,使其更易访问。 如果 Hub 也能跨不同设备编排任务呢? https://t.co/AWxUXvqC0F




🚀 Hy4 preview is here. 770B, 49B active, 1M context. Built for productivity. Open source frontier. Consistent affordable price. Use it. Tell us what breaks. More on Hy blog:https://t.co/rbl1IWRk3C HuggingFace:https://t.co/mE9wevH5XR Github:https://t.co/pyl9zckpoL https://t.co/4iW6gSuZKr
推荐理由:腾讯以 Apache License 2.0 开放 770B 参数 MoE 模型,可对照其与现有开源模型的参数与上下文规模。