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!
X:Kim
@kimmonismus · X
切换来源
@kimmonismus@kimmonismusAI 评分6060 引用@thsottiaux@thsottiaux@kimmonismus@kimmonismusAI 评分2323 
@kimmonismus@kimmonismusAI 评分3838 
@kimmonismus@kimmonismusAI 评分2525 朋友们别担心,他们的新帖子解释了,只是 -17%。…… https://t.co/XzMzoYO0EK
引用@kimmonismus@kimmonismusThey deleted their post about cutting weekly limits by 25%, only to reupload it after recalculating that the reduction was actually “just” 17%. wow. https://t.co/ZtC9X0LIma
@kimmonismus@kimmonismusAI 评分5050 引用@ClaudeDevs@ClaudeDevsCompared to today, this works out to a 17% reduction in weekly limits on Claude Code. We’re working on exciting changes that will make it feel like you’re getting more from Claude, while having more visibility and control of your usage. Can’t wait to share them.
@kimmonismus@kimmonismusAI 评分5252 引用@ClaudeDevs@ClaudeDevsCompared to today, this works out to a 17% reduction in weekly limits on Claude Code. We’re working on exciting changes that will make it feel like you’re getting more from Claude, while having more visibility and control of your usage. Can’t wait to share them.
@kimmonismus@kimmonismusAI 评分55 @kimmonismus@kimmonismusAI 评分2424 Anthropic 删掉了那条推文。我猜他们知道自己搞砸得很厉害。
引用@kimmonismus@kimmonismusThis is a fancy way to say they will decrease your weekly rates by 25% https://t.co/gqnqgcQh4s
@kimmonismus@kimmonismusAI 评分66 @kimmonismus@kimmonismusAI 评分1212 @kimmonismus@kimmonismusAI 评分3535
@kimmonismus@kimmonismusAI 评分1111 @kimmonismus@kimmonismusAI 评分3737 @kimmonismus@kimmonismus精选AI 评分6767 Anthropic 发布研究论文,让 Claude 承担改进其他 AI 模型对齐的任务,结果 10 项被测对齐缺陷全部改善,且未降低已测的通用能力。



推荐理由:材料呈现了 AI 研究 AI 的闭环雏形,读者可据此了解自动化对齐研究目前走到了哪一步。
@kimmonismus@kimmonismusAI 评分1717 对大概是 GPT-Astra 的 "mozaik-alpha-fdm" 的初印象。前端看起来相当惊艳。h/t @Lentils80

@kimmonismus@kimmonismusAI 评分1010 @kimmonismus@kimmonismusAI 评分2525 
@kimmonismus@kimmonismusAI 评分2828 @kimmonismus@kimmonismusAI 评分2626 
@kimmonismus@kimmonismusAI 评分2929 
@kimmonismus@kimmonismusAI 评分2525 2/ 从图像到 3D 开始。 给它一张产品照片,它在大约 20 秒内就构建出了完整的 3D 模型,包括几何结构等全部内容。它不只是近似还原了形状,还保留了材质细节。 这通常是建模师最耗时的部分。
@kimmonismus@kimmonismusAI 评分2525 
@kimmonismus@kimmonismusAI 评分6060 
引用@kimmonismus@kimmonismusOpenAI is ending its partnership with Cursor following its acquisition by SpaceX. The conflict between Elon and Anthropic thus enters its next phase. OpenAI says the decision is based on “our experience with Elon Musk's companies violating contracts.” The acquisition triggered a limited change-of-control window: Cursor’s direct access to OpenAI models is set to end on November 12, and upcoming models such as Astra will not be provided.
@kimmonismus@kimmonismusAI 评分3030 引用@thsottiaux@thsottiauxLooking at the dashboard we might hit a new milestone to celebrate tomorrow. Hold on to your Codex
@kimmonismus@kimmonismusAI 评分1010 @kimmonismus@kimmonismus精选AI 评分7474 

引用@OpenAI@OpenAIWe’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
推荐理由:材料给出合作终止的生效时间与适用范围,可据此观察 OpenAI 与开发者工具生态之间的关系变化。
@kimmonismus@kimmonismusAI 评分55 @kimmonismus@kimmonismusAI 评分2929 

@kimmonismus@kimmonismusAI 评分1919 原本的假设是 Fable 5.1 和 Opus 5.1 应该昨天发布。似乎推迟到了下周。不过,看起来有些人已经能访问这些新模型了。https://t.co/V2eMh3ZWKp
@kimmonismus@kimmonismusAI 评分2525 @kimmonismus@kimmonismusAI 评分1515 @kimmonismus@kimmonismusAI 评分44 @kimmonismus@kimmonismusAI 评分4141 有意思:比尔·盖茨表示,科技高管们私下对AI的风险“深感担忧”,但公开场合却淡化这些风险,因为牵扯的利益太大。https://t.co/ufVtv5v6Ji

@kimmonismus@kimmonismusAI 评分77 @kimmonismus@kimmonismus精选AI 评分7171
引用@kimmonismus@kimmonismusQuick reminder: in 4 hours you will be able to download and run sota AI. If you have enough compute ofc. What a time to be alive. https://t.co/T6bs1VnVG1
推荐理由:GLM-5.3 上线后给出了各量化档位的显存与硬件门槛,可供本地部署选型参考。
@kimmonismus@kimmonismusAI 评分2828 @kimmonismus@kimmonismusAI 评分5454 
@kimmonismus@kimmonismusAI 评分5050 引用@kimmonismus@kimmonismusQuick reminder: in 4 hours you will be able to download and run sota AI. If you have enough compute ofc. What a time to be alive. https://t.co/T6bs1VnVG1
@kimmonismus@kimmonismusAI 评分1919 @kimmonismus@kimmonismusAI 评分77