lab ulad

[lab ulad @la99dypzz]

@bit_sister 授权失败怎么弄

[lab ulad @la99dypzz]

@xunsr1 @xmglab 重置了兄弟

[lab ulad @la99dypzz]

@Gordian7893 @shengtang135754 我的也没，我两个plus都没重置

[lab ulad @la99dypzz]

Resetman

[Tibo @thsottiaux]

@rxmphai I'll do another performative reset on Monday

[lab ulad @la99dypzz]

@yexqir @chunxiangai @binghe 你使用多久啦？需要改系统时区和语言吗

[lab ulad @la99dypzz]

谁能让我吸一口fable5，太馋啦

[lab ulad @la99dypzz]

@Lonely__MH @thsottiaux 绝对出问题了，进度条太快了，刚开始还以为是我的错觉

[lab ulad @la99dypzz]

@ReidThinking 人之常情

[lab ulad @la99dypzz]

@Saccc_c 哈哈哈哈哈前几天配了一个代码检索subagent，相同的原理

https://t.co/d0NrhFrWg8

[lab ulad @la99dypzz]

感觉gpt plus周额度进度条变快了

是我的错觉吗

[lab ulad @la99dypzz]

Resetman

[Tibo @thsottiaux]

To celebrate a week of efficiency and let you run 100'000 Luna threads this weekend... that's right... wait for it... I have reset usage limits for Codex and ChatGPT Work.

Enjoy.

[lab ulad @la99dypzz]

@riba2534 给佬跪了

[lab ulad @la99dypzz]

满满干货，值得学习

[riba2534 @riba2534]

https://t.co/2yQtvxkRsB

[lab ulad @la99dypzz]

@Lonely__MH 这次有点快呀

[lab ulad @la99dypzz]

Resetman

[Tibo @thsottiaux]

Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits.

Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans.

We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating.

Here’s what we found:
- GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended.
- Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5.
- Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected.
- This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient.
- The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage.

Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it.

You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.

[lab ulad @la99dypzz]

@ReidThinking 感谢

[lab ulad @la99dypzz]

大善人啊

[Tibo @thsottiaux]

Back at the laptop. The usage limits have been reset for all paid users of Codex and ChatGPT Work. Weeeeeeeee. It's a good day!

[lab ulad @la99dypzz]

@ReidThinking 11111

[lab ulad @la99dypzz]

终于有报复A➗的机会了，猛猛蹬