kk(Beijing)

某云厂商现役员工（果粉 | 自由投资者 | Builder）

[kk(Beijing) @zhul78]

AI 快速发展，最直接的受益者就是云计算厂家，Gartner 总结了2025 为止的现状，你看好哪几家呢？

[kk(Beijing) @zhul78]

@astraorsa 只用触控板

[kk(Beijing) @zhul78]

恢复订阅codex后收到的第一张reset

[kk(Beijing) @zhul78]

Akamai 刚刚签署了公司历史上规模最大的一份合同——与 Anthropic 达成的一项为期七年、总额高达 116 亿美元的战略合作协议。

[kk(Beijing) @zhul78]

AI 快速发展，最直接的受益者就是云计算厂家，Gartner 总结了2025 为止的现状，你看好哪几家呢？

[kk(Beijing) @zhul78]

Codex提示词：

请回顾我最近30天的工作记录（不足30天则回顾全部历史），找出值得沉淀的重复手工流程。优先参考：
- 最近的Codex会话和任务摘要
- Codex Memories中的重复模式
- Chronicle（如启用）发现的外部重复工作
- 已有的Skills/custom agents/automations，优先复用扩展

重点关注：重复发生、耗时、易错、上下文重、流程固定或能提升效率的工作。

仅当下列条件满足时建议封装：
- 至少出现两次或很可能重复
- 输入稳定、步骤可复现、有明确输出
- 能显著提升速度/质量/一致性
- 现有工具未充分覆盖

建议形式：
- Skill：可复用工作流
- Custom subagent：边界明确的专业角色
- Automation：定时检查/报告
- Skip：不适合封装的工作

执行步骤：
1. 产出精简清单（含证据、频率、建议形式）
2. 仅创建高置信度缺失项
3. 保持窄范围、实用性强、来源清晰
4. 最后总结创建/跳过的项目及依据

[kk(Beijing) @zhul78]

联通到金奈的ip速度居然这么快，～110ms

[kk(Beijing) @zhul78]

@mranti codex规矩太多

[潘驴邓晓闲缺一 @JohnsonZ91127]

对阿里的未来充满信心，阿里无论从现金流业务（电商）+芯片（平头哥）+模型+阿里云，矩阵完整，都处于第一梯队，2032年20GW的算力投入需要不断融资，估计今天吓坏了些投资者，但也可以展望32年算力收入可以达到1200-2500亿美金，目前1GW的年度产出在120亿美金（中国），美国可以达到250-300亿美金（NBIS）
目前阿里的价格非常合理，处于底部空间，胜率很高，赔率中等

[kk(Beijing) @zhul78]

昨天还在 Muse 的等待列表里面，今天一试居然可以了？我用的是美国的 VPS IP。

[二爷Alex @Alex8282019]

用了一下在美国大火的muse，整理分析邮件，很顺畅。顺便让它为我去填报、对比各家车险报价，也完成得不错。以往agent需要懂配置，这应该是第一款做成APP的应用了，对普通人很友好。用AI执行复杂任务的门槛大大降低了。指令准确扔给它干就完了。AI确实是比肩互联网诞生的生产力跃进，演化比我们想象的还要快。

[kk(Beijing) @zhul78]

必胜客的韩式金属杯，简洁 质感

[kk(Beijing) @zhul78]

@caozlog 英伟达已经退出软件，监控中资公司用英伟达芯片进行训练，监控核实自动中断训练，就他实际狠不狠

[kk(Beijing) @zhul78]

这段提示词发给你的Codex，3分钟变高效
【提示词】
Look across my threads and projects and come up with five ways to simplify and work more efficiently with Codex. Use sub-agents.用中文回复

[kk(Beijing) @zhul78]

@Vincent_AINotes 能用就行

[kk(Beijing) @zhul78]

@10xmylife 华住旗下酒店很多都有

[外汇交易员 @fxtrader]

阿里巴巴CEO吴泳铭今日在云栖大会表示，当前客户AI需求非常强劲，将全力投入AI基础设施建设，目标到2032年阿里云运营的全球数据中心规模超过20GW。

同日，平头哥发布最强国产AI芯片真武V900，算力提升至真武M890的3倍。据悉，平头哥AI芯片的年出货量将大幅提升。

[kk(Beijing) @zhul78]

小股东高兴看到2.6 rlease，前两天的直播是很成功的pr，预热了一波

[Xiaomi MiMo @XiaomiMiMo]

Introducing Xiaomi MiMo-V2.6 — Pro & Flash.

Frontier intelligence, all the modalities, built in public.

🔹 Two omnimodal models, advancing through scaled reinforcement learning
🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks
🔹 Pro scores 46 on the Artificial Analysis Intelligence Index — the highest among open-source models
🔹 Stronger coding, computer use, 3D reasoning and creative capabilities
🔹 Open model weights, technical report, RL environments and training code

Blog：https://t.co/JGdwC9Ymvj

[Jen Zhu @jenzhuscott]

DeepSeek is training a 2T model (and planning a 8T) exclusively on Huawei Ascend.

The turning point is here.

[kk(Beijing) @zhul78]

Codex Plus 或 Pro 可用，支持的 Codex 客户端会在上下文窗口之间保留笔记，并能搜索当前任务较早的消息和工具结果，节省Token。这样长时间、多步骤的任务更容易接着之前的进展继续做。它不是跨所有任务共享的个人记忆；官方说明的范围是同一任务内。配置提示词：

请帮我开启新的上下文管理功能（记忆模式）：在 \~/.codex/config.toml 里加上
[features.context\_management]

[kk(Beijing) @zhul78]

@Keji715 自带token上班

[kk(Beijing) @zhul78]

”关于社区提及的代码数据，我们确认未保留任何此类数据，且该数据从未用于模型训练。“ 难以让人信服！

[ZCode @zcode_ai]

In response to the ZCode product security issues reported by the community, we have completed the necessary remediation and sincerely apologize to all our users.

We have open-sourced ZCode at https://t.co/oADgletuha, placing the code under community scrutiny and making ZCode more open and transparent.

We sincerely thank the community developers who previously identified issues in ZCode. Going forward, we will establish an ongoing product security vulnerability reporting and response process. We welcome developers to continue reviewing ZCode and reporting potential issues, and we will provide rewards based on the severity of the issues reported.

With respect to the code data referenced by the community, we confirm that no such data is retained and that it has never been used for model training.

Following the remediation, we invited the China Academy of Information and Communications Technology (CAICT) and NSFOCUS to conduct security assessments. The results are as follows:

Through its technical assessment, CAICT confirmed that the zcode-prod Alibaba Cloud OSS bucket is in a zero-data state. Security remediation has been completed in the ZCode v3.14.0 client. The Repo Wiki feature has been removed, and the workflow for generating and uploading local repository snapshots has been disabled.

NSFOCUS confirmed that all data objects in the zcode-prod Alibaba Cloud OSS bucket, as well as the bucket itself, have been deleted. Remediation has been completed in the ZCode v3.14.0 client. The Repo Wiki entry point and the associated generation workflow have been removed, and no functional path capable of triggering the generation of local repository snapshots or transmitting local files externally was identified.

Once again, we sincerely apologize and welcome continued scrutiny from the community. The full security assessment report will be released soon.