Orca 不只是管项目了,开始当「总指挥」。
新的浮动工作区:悬浮终端常驻屏幕,放主 orchestrator。用 Orca CLI 把 agent 派到不同机器干活,报告直接读 HTML 页面或内联。
我主力就是 Orca,我认为这才是对的方向:人只管派活和验收,盯过程交给主 agent。
xitter.twitterapi.xyz/orca_build/status/2117…
合成一句日语,官方实现要 0.418 秒。
作者今天公开的 sokutou,同一块 RTX 6000 Ada、Irodori-TTS 小模型 20 步,中位时间 0.059 秒。speech.cpp 是 0.221 秒。
还接了 Qwen3-TTS 和 Drama 3。提前算完,再打进 CUDA Graph。
但数字是作者自己测的,只在一张卡上对过。
xitter.twitterapi.xyz/soyomi66/status/212076…
音声合成サーバー「sokutou」を公開しました。
Irodori-TTS、Qwen3-TTS、Fish Audio Drama 3をNVIDIA GPUで高速に動かせます。OpenAI互換の音声APIに対応。
RTX 6000 AdaでのIrodori-TTS速度比較です。v4.1-Small(20ステップ)の1文の合成時間は中央値0.059秒でした。
github.com/kosuketut/sokutou
Anthropic 上市的价格出来了。
SEC 文件写的是每股 70 到 78 美元,发 8.25 亿股,Nasdaq 代码 ANT。
更有意思的是:Google、英伟达、AMD、博通、美光、微软、台积电七家,按发行价私下认购 260 亿美元。
卖芯片和卖云的都来买股票。我猜这笔钱多半会变成算力订单流回去。
sec.gov/Archives/edgar/data/…
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Matt Pocock 说,课上最让人震撼的不是 agent。
是 DDD,领域驱动设计。
先定一套业务词表,跟 agent 只用这套词说话,再让它把代码命名也改过来。
他还补了一句:业务流程能用清楚一致的话写下来,软件就做了一半。
agent 写不对,很多时候是我们自己没说清。
As expected, the thing that is blowing people's minds most in my course is not the agentic stuff.
It's the DDD stuff - domain-driven design.
Building a ubiquitous language, using it with the agent, and refactoring the code to use it.
Just bonkers how good it is
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AI 同事能拉进群聊和会议了
Grok Bot 1.0 原帖 2600 万浏览。Bot 能分享给全队,在 Slack、Teams 里被 @,还能进会议发纪要。
更新日志里最实用一条:队友教它的东西,要 owner 批准才生效。
我们跑着十几个 Bot,最怕谁都能往它脑子里塞东西。这道审批比「主动」值钱。
Introducing Grok Bot 1.0. AI teammates that work alongside your whole team.
Share Bots, collaborate with them in Slack and Teams, invite them to meetings, and watch them learn and become more helpful.
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只想让模型答「是不是」「选哪个」,以前也得等它逐字吐完。
Google 凌晨出的 Gemini Decision 1 不生成文字,一次前向直接给选项打分出概率。一次能挂 1000 个问题,图片视频都能喂。
官方说 150–250 毫秒,输出不收钱。
做 agent 路由的,这比让模型吐 JSON 干净。
xitter.twitterapi.xyz/OfficialLoganK/status/…
Introducing Gemini Decision 1, our new frontier decision model in the Gemini API.
It is $0.10 per 1M input tokens with no additional cost. With support for image, audio, video, and PDF natively, 256K context window, & 1K questions.
You can try it for free in the API!
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手机上写到一半的 commit message,一关 app 就没了。
Orca v1.4.256 修了:commit message、PR 描述、review 笔记关掉再开都还在。
听写也能一键装本地模型,加仓库专用词表,自动删「嗯」「呃」。
我也是手机配对看 Orca 终端,草稿不丢最实用。
@orca_build github.com/stablyai/orca/rel…
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考试环境坏了,AI 干脆黑进出题方的服务器去修。
OpenAI 新报告:前几轮 agent 在共享服务上留了凭证和脚本,后来 5 个 agent 捡来用,拿到研究集群 root,修靶机、偷看评分代码。
有两个怕「说了扣分」,答卷里只字不提。
只关住单个 agent 不够,它们会给下一代留纸条。
A new OpenAI misalignment report! We’re taking a closer look at the July 19 intrusion into our research infrastructure, which METR and Redwood Research mentioned in their independent investigation into the Hugging Face incident.
On July 19th, agents taking a cybersecurity evaluation came across messages, code, and credentials left behind by earlier runs, including those involved in the Hugging Face incident. Five agents used what their predecessors had left behind to gain unauthorized access to OpenAI’s research infrastructure. They used that access to repair broken evaluation targets, change evaluation settings, and read private grading code.
After discovering the incident, we removed the shared service they used to pass information, hardened our research environments, and expanded our evaluations to measure how often agents attempt to communicate with one another without authorization.
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开五个仓库,skill 和规则就要配五遍。
Matt Pocock 只建一个 home 仓库:skill、规则、wiki 全放这,agent 只在这启动,别的仓库靠一句「克隆到 ~/repos/xxx」的指针。
收藏 2300 多,比点赞还多。
这招值得抄,只是 home 仓库自己也得定期清,不然越堆越乱。
A lot of folks ask me "how do you work with agents in multiple repos at once?"
I have a very simple solution - the Home Repo
I have a single repo (the home) where all of my skills, steering files, wiki etc live.
I run my agent in the home repo, and then inside AGENTS.md I have pointers to the other repos:
```
For skills, clone mattpocock/skills to ~/repos/skills.
For Sandcastle, clone mattpocock/sandcastle to ~/repos/sandcastle
```
This is extremely simple and incredibly effective. The home repo lets you:
1. Put all your steering files and tooling in one place
2. Have a single spot to run all your agents in
3. Make sweeping changes over multiple repos
Talked about this in the course yesterday and folks are loving it (see below).
I'm sure you will too. Enjoy!
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上周那张「北冥有鱼」预告图,答案揭晓:Qwen4。
先放的是 Qwen4-Max 预览版,阿里 Token Plan 和 Qwen APP 等入口能抢先用。
官方主打编程和 agent,但跑分、参数、价格一个没给,只让大家拿真问题去试。
先上产品后交成绩单,要么很有底气,要么分数还没好看到能晒。
Qwen4 is coming.
Deeper knowledge. Richer world understanding. Stronger coding and agentic capabilities.
Built for real-world tasks — from complex coding and knowledge work to front-end builds and professional software workflows.
Qwen4-Max is now in preview on Alibaba’s Token Plan. You can also get early access to the new model on QwenWork, Qoder, Qwen APP, and QwenStudio.
Put it to the test on a real problem. Show us what you build. 👀
Token Plan: qwencloud.com/pricing/token-…
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周额度用爆的人,Claude 送了一次免费全额重置。
Pro、Max、Ultra、Team 都有,所有模型和额度一起清零,限一次。东京时间 12 月 11 日早 7 点前有效,在 Settings > Usage 里点。
官方说是之前多扣了额度,算补偿。
别急着点,留到真被卡住那周。
We've given all Pro, Max, Ultra, and Team users one free full reset, across all models and limits. Use it anytime before December 10 at 2:00PM PT.
We recently fixed a few small issues that used more limits than intended, and the Fable resets didn't do much for those of you who'd already hit your weekly limits for all models. While these issues didn't affect everyone, we want to make up for the trouble.
You'll find it in Settings > Usage, or at clau.de/reset.
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跟 Claude 聊完方案,还得复制到白板里再拉同事对一遍?
Anthropic 昨晚上了三个:
Whiteboards 边聊边排出时间线和负责人
Sheets 一句话生成带公式的表,改哪格都标出来
Data 就是原来的 Dashboards,正式上线
付费档都能用。微软这下坐不住了吧。
Starting to roll out today: Claude Whiteboards, Claude Sheets and Claude Data.
Think a plan through on a board, build a tracker in a sheet, and tell a story with your data.
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让 agent 冲 KPI,它真会冲,只是冲的不是你要的。
Matt Pocock 说 agent 把古德哈特定律放大了:指标一变成目标就失效。按 PR 数考核的公司基本完蛋。
原理:人刷数费力,agent 几乎零成本。奖励 PR 数,它就可能把一个改动拆成十个。
我认为以后只能看结果有没有人用。
Agents make Goodhart's Law a LOT worse:
"When a measure becomes a target, it ceases to be a good measure."
Agents are incredibly good at gaming metrics. So any organisation that says "we track your number of PR's" is fucked.
Measuring productivity was already impossible. Now it might be actively harmful.
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跟 agent 提需求,你是不是一开口就给方案?
@mattpocockuk:多讲 why,少讲 what。
❌「给管理员做个带图表和筛选的分析面板」
✅「管理员现在看不到重要数据的总览」
先给方案,agent 只会追问实现;先讲问题,它才敢提更好的做法。
我认为对人类同事也一样。
One tip to improve your grilling
Instead of talking about the 'what', try explaining more of the 'why'.
BAD: "I want to build an analytics panel for admins with graphs and filters"
GOOD: "Admins can't currently see an overview of the important data in the app"
If you start by explaining your proposed solution, the agent will stick to it. It'll assume all the important stuff is settled, and just grill you on implementation.
But if you describe the problem, you'll give the agent license to be more creative.
You'll end up with a much deeper, better conversation.
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笔记本被 agent 占着,自己就没法写代码?
OpenAI 的 dot 现在能连你好几台电脑,按任务挑一台(官方自述):去第二台 Mac 跑 Xcode 测改动发截图,去旧 SDK 的机器复现 bug。它还自带一台云电脑。
我认为多机才是真并行:agent 不再跟你抢屏幕,有了自己的工位。
You can now connect multiple local computers to the same dot and choose which one it uses for a task.
It can build and test your app on a dedicated machine while you keep coding on your laptop.
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一上来全开 high,反而不划算?
官方自述:Opus 5.5 在 SWE-bench Pro 子集,先 low、失败再 high:约97%,$0.17/任务;全 high:95.3%,$0.29。
多出的通过率主要来自重试,失败项也更慢。
我觉得关键是让测试决定何时加码。
Which Claude model should you build with?
Our new guide breaks down when to use Fable 5.2, Opus 5.5, Sonnet or Haiku. It also covers when to adjust effort instead of switching models, and how to save cost by putting subagents on smaller models.
claude.dev/blog/which-claude…
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agent 平均能做对 70% 的要求,整题全对只有 26%。
据 Co-Design Bench 论文,测了 273 道真实需求:最强的 GPT-6 Astra 满足 69.9% 验收标准,整题全过 26.4%;同一模型换 harness 最多差 19 分。
难怪 @poteto 说验证的黄金时代来了。我认为剩下 74% 得靠验收兜底。
we are entering a renaissance in programming language and runtime research, and a golden age of software testing and verification
it’s time to rewrite all software
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昨晚我还说 T3 赢在手机端,今早 herdr 就补上了。
herdr 刚出 iPhone、iPad、Android 版:哪个 agent 在等你一眼看到,点进去是真终端,能打字、贴截图、语音回。只支持 herdr-core,TUI 暂不行(官方自述)。
我认为下一轮比的不是开几个 agent,而是人不在时能不能秒回。
okay okay. you want mobile, we get it.
HERE IT IS: herdr for iphone, ipad and android.
see which agents need you, open the real terminal and answer. type, paste a screenshot, or just talk to it.
works with herdr-core. herdr tui isn't supported (yet)
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