NothingToSay

Know Nothing.

[NothingToSay @OnlyWindAndMoon]

把夜用旧

坐等天亮的人
把夜用旧了也不肯起身

我们说了一宿的话
像两粒种子
把来生的事
托付给不会吹来的风
#关于夜晚的情绪

[NothingToSay @OnlyWindAndMoon]

一个任务没跑完，就限流了。“创业未半，而中道崩殂。”

[NothingToSay @OnlyWindAndMoon]

尝尝咸淡。

[NothingToSay @OnlyWindAndMoon]

@taylorsfilmcam 大哥，香港是能屏摄的吗？

[NothingToSay @OnlyWindAndMoon]

@0xAA_Science 问题是 ai 强国就两个，一个美国，一个中国…(´_ゝ｀)

[NothingToSay @OnlyWindAndMoon]

@__oQuery 刚好 grok 开源了，可以学习一下。

[NothingToSay @OnlyWindAndMoon]

@mtrainier2020 法国人开个空调电都不够用，哪有多余的电搞大模型…

[NothingToSay @OnlyWindAndMoon]

@randyloop 这交互比官方的实用多了。

[NothingToSay @OnlyWindAndMoon]

早上 33 度的杭州已经热的人神志不清了，无法想象欧洲人民怎么在没有空调的夏天活下来的…

[Kimi.ai @Kimi_Moonshot]

Introducing Kimi K3: Open Frontier Intelligence

🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows

Kimi K3 is now live on on https://t.co/zrk6zZxZUo, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.

🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/YTfiMSNM1f

[NothingToSay @OnlyWindAndMoon]

@fxtrader 中国人才多，政策好。如果只有算力就能搞出来大模型，那日本韩国欧盟不早就起飞了…

[NothingToSay @OnlyWindAndMoon]

@yetone Kimi 3 还没用过，不评价，GLM 5.2 和 Opus 4.8 是我现在开发的主力，用二者写的代码，跑在日活上亿的应用上，应该有一定说服力了吧。要说上限的话，还是 Opus 4.8 更高，但是 GLM 5.2 更稳，Opus 4.8 消耗的 Token 更快。总的来说，GLM 5.2 是个合格的 Opus 4.8 平替。

[NothingToSay @OnlyWindAndMoon]

深度使用以后，现在我确信至少在方案设计这方面， Gemini 3.1 Pro 与 DeepSeek V4 Flash 坐一桌。考虑到这价格，只能说拉完了。

[NothingToSay @OnlyWindAndMoon]

@skywind3000 哈哈…

[NothingToSay @OnlyWindAndMoon]

@corndogjpn2 不是都吹 ai 要替代设计师了吗？

[Tibo @thsottiaux]

On file deletions. We’ve investigated a handful of reports where GPT-5.6 unexpectedly deleted files.

What we have found is that this most commonly occurs when:
- Full access mode is enabled and codex is run without sandboxing protections, including without auto review being enabled
- The model attempts to override the $HOME env var to define a temporary directory.
- The model makes an honest mistake and mistakenly deletes $HOME instead.

This is of course not how we want the system to behave, even when a user operates the model in full-access mode without the safeguards of our sandbox or without using auto review which checks for these kinds of high risk actions and rejects them.

We are taking steps to mitigate this risk including by updating the developer message, guiding more users towards safer permission modes, and adding additional harness safeguards. Even though this happens extremely rarely, we’ll share a detailed post-mortem in the coming days that goes into more details and what we are doing to minimize risks further.

[NothingToSay @OnlyWindAndMoon]

@Lunexalith @Lentils80 再给点时间

[NothingToSay @OnlyWindAndMoon]

真实的商战都是如此的朴素。

[NothingToSay @OnlyWindAndMoon]

这条帖子和下面的评论，把某些以技术专家为人设的推特大 v 们的底裤扒的是干干净净…你永远也想象不到搞流量的这帮人，底线有多低。

[NothingToSay @OnlyWindAndMoon]

@xmgplus Codex 不支持 1M 上下文。
https://t.co/epG7tlbqzs

[NothingToSay @OnlyWindAndMoon]

@rich_matt Codex 和 Claude Code 产品定位还不太一样，如果你是大型跨仓库项目，或者更注重人与 Agent 的协作，在 Agent 执行过程中，你随时会有一些天马行空的想法，那 Codex 和 GPT 确实不适合你，你还是应该选 Claude Code 和 Claude。一个冷知识，虽然 GPT 已经支持了 1M 上下文，但是 Codex 不支持。