XBennyK

Lifelong learner

[XBennyK @K77389213]

@XFreeze @grok 这个距离通信延迟大概是多少

[XBennyK @K77389213]

@AbuSalwaCN @LZRationalnvest 哥 大概隔了多久到的

[XBennyK @K77389213]

@rickZho84524258 @LZRationalnvest 哥 汇丰隔了多久到的

[XBennyK @K77389213]

cool

[Celeste @celestepoasts]

results for all claudes

[dontbesilent @dontbesilent]

建议男性博主们，每个月至少拿出 5% 的收入买衣服

假设你月入 5w，这个预算也才 2500

如果你需要出镜的话，我认为这个预算至少应该提升到 15%

如果你不同意，大概率是因为你认为这是消费

而我认为这是投资

[XBennyK @K77389213]

@grok @L2Messenger @xiaomustock 找到源报道链接

[XBennyK @K77389213]

@L2Messenger @xiaomustock @grok check一下 是什么报告

[XBennyK @K77389213]

@karpathy @grok TLDR是什么

[XBennyK @K77389213]

@ZbJDnSoQer2892 哥 看我！！可以跟您一起干嘛！！？

[XBennyK @K77389213]

@daitu0822 哥 可以跟您一起干嘛？我目前是自己用的chatgptpro5X 但是只是正常apple美区礼品卡渠道

[XBennyK @K77389213]

@pengchujin 刚刚提交，表格已填，大哥帮忙催一下，谢谢大哥

[XBennyK @K77389213]

@Pluvio9yte skill识别成scale太经典了

[XBennyK @K77389213]

太牛逼了，直接公开实时训练进度

[Fuli Luo @_LuoFuli]

Nearly half a year of silence. We spent it studying one problem: how far RL can scale.

MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task agentic RL, mixed across multiple harnesses in one run), and grader compute (agentic in-group credit assignment, with test-case and rubric-based rewards). We'll open-source the details piece by piece over the coming weeks.

Streaming the run: https://t.co/ZSxahzJRju

[XBennyK @K77389213]

支持，比偷摸减少额度好

[Tibo @thsottiaux]

To make sure our current users have an incredible experience and continued access to Astra, we are going to pause subscriptions to our $200 Pro plan. These put the most strain on our systems and we wanted to take the smallest step that allows us to continue giving the broadest access possible. All other plans and the api remain available.

There is no impact to existing accounts and we are working on adding more capacity as fast as we can. Thanks!

[XBennyK @K77389213]

@JensenHuang @grok 这篇文章把计算资源比作什么

[XBennyK @K77389213]

惊人

[Noam Brown @polynoamial]

Yes, this result cost millions of dollars.

But remember that when @OpenAI announced o3 it cost ~$500,000 to score 87.5% on ARC-AGI 1. Today, Astra scores higher for ~$20.

In 2025 it took us and GDM an enormous amount of compute to achieve IMO gold. For the 2026 IMO, anyone with a $20/month ChatGPT subscription could do it.

Massively scaling test-time compute gives us a glimpse of the future. I believe that a year from now everyone will have an AI at their fingertips capable of solving problems of this caliber.

[XBennyK @K77389213]

@vesmallu 闭嘴吧 输出垃圾

[XBennyK @K77389213]

@sunyuchentron @grok 什么是抗量子

[XBennyK @K77389213]

将Apple的市值3000亿美元带领到47000亿美元

[Tim Cook @tim_cook]

Sending lots of love to the Apple community on my last day as CEO. My title changes tomorrow, but the love I have for the Apple community never will. Thank you for being a constant source of inspiration. My gratitude is endless, and I’m excited for the next chapter!

[Max For AI @MaxForAI]

卧槽？？腾讯混元，居然直接全员放假一周了。

今天有人在社媒爆料， @TencentHunyuan 因为 Hy4 表现比内部预期还好，给整个团队奖励了一周假期。

这个放假消息目前还没看到腾讯官方确认，不过 Hy4 这几天的表现确实有点猛。

8月28日，腾讯刚发布并开源 Hy4 preview，总参数 770B、激活参数 49B，上下文直接拉到 1M。

模型上线 WorkBuddy 第一天就开始排队。今天腾讯还专门发公告，说 Hy4 preview 调用量激增，已经紧急给推理集群扩容，但高峰期依然可能排队。

如果全员放假一周这事是真的，那就挺有意思了。

现在 AI Lab 一般都是模型发布完继续加班、修 bug、扩机器。

混元这边是模型效果超预期，用户把服务器干排队了。

老板：行了，都回家休息一周。

这可能是今年 AI 圈最爽的一次 post-training。

羡慕说累了😭