S
美国应引领AI发展
美国应继续开发最佳AI模型,确保其安全性,并将网络工具交给可信的防御者。新的行政命令在这方面取得了良好的平衡。
theUSshould lead on AI by continuing to develop the very best models, making sure they're safe, and getting cyber tools into the hands of trusted defenders.
the new EO gets the balance right.
S
励志名言
在艰难的日子里,我发现最鼓舞人心的名言之一是:“你手中所做的事,要尽力去做,因为在你要去的死者之地,没有工作、计划、知识和智慧。”——《传道书》9:10
one of the quotes i find most inspiring on a hard day:
"Whatever your hand finds to do, do it with all your might, for in the realm of the dead, where you are going, there is neither working nor planning nor knowledge nor wisdom"
Ecclesiastes 9:10
S
Swyx
Latent Space 联合创始人
2026-06-02 18:13
无法显示内容
无
? https://t.co/wcGR67Z7q4
S
Swyx
Latent Space 联合创始人
2026-06-02 03:56
话题讨论表现出色
这场@workos的演讲表现非常好,是几周以来首次认真挑战@mattpocockuk。团队正在进行AB测试。
title undersells it - this @workos talk is doing v well and is the first to seriously challenge @mattpocockuk in weeks. team is ab testing https://t.co/puwZ8bKPH3
P
感谢Devin/Windsurf团队
感谢Devin/Windsurf团队在起伏中保持纪律并坚持不懈。我认识许多热爱Devin的AI原生开发者。希望能找到更多时间亲自尝试。
Have to give the Devin/Windsurf team flowers for staying disciplied through the ups and downs and keeping at it.
I know many AI native builders who love Devin now. Will hopefully find some more time to try it myself.
P
SaaS并未死去
人们说SaaS并没有死。我认为大型企业级SaaS能够完成多项任务的可能没问题(例如Figma)。但如果你在为狭窄的用例构建简单的SaaS,现在的盈利难度会更大,因为AI技能通常可以解决同样的问题。
People are saying SaaS is not dead.
I think larger enterprise SaaS that can do multiple jobs are probably fine (e.g., Figma).
But if you’re building a simple SaaS for a narrow use case, I think it's harder to monetize now because:
1. AI skills can often solve the same problem
P
会议前简报很棒
我必须说,@meetgranola的会议前简报非常出色。希望能有更多像这样的自动化和实用的AI功能,比如每周的回顾简报。
I have to say @meetgranola's pre-meeting briefs are 😙🤌.
More automated and useful AI features like this @cjpedregal - maybe weekly recap brief?
A
与微软合作
我很高兴能与@Microsoft合作,使企业中的每个人都能构建和部署安全的Fabric数据应用。这得益于微软的新Rayfin SDK。
Excited to partner with @Microsoft to enable everyone in the enterprise to build and deploy safe & secure Fabric data apps.
This is possible thanks to Microsoft's new Rayfin SDK. https://t.co/sAEKkXYFfy
A
SWE基准不全面
SWE基准不一定能捕捉到应用构建能力,而ViBench可以。
SWE benchmarks don’t necessarily capture app building capabilities. ViBench does.
A
vibecon
无
vibecon
G
编码的成本已大幅降低
“无代码”软件的出现是基于代码昂贵、难以掌握和稀缺的假设。然而,编码代理的出现改变了这一局面,代码现在变得廉价、简单且丰富。回想起很久以前,@cramforce 被分析师问到这个问题。
YES-CODE
An entire category of software, "no-code", was built under the presumption that code is expensive, difficult, and scarce.
Coding agents have forever changed the equation. Code is now cheap, easy, and abundant.
I remember @cramforce being asked by an analyst long ago:
G
AI时代的教育新模式
在AI时代,教育的核心在于语言:语言的表面是你的路线图。人类语言就像SDK中的函数定义,是通向世界的新API。这种情况一直存在,任何领域都没有真正的专家。
This is what education in the age of AI looks like. Start with the language: the linguistic surface is your roadmap. Much like an SDK has a set of function definitions, human language is the new API to the world.
It also always has been… there's never been an expert in any
G
Conductor:为编码代理而生的IDE
Conductor是专为编码代理设计的IDE,称之为ADE也不为过。代理将使远程开发成为主流。在许多大型和敏感组织中,“本地”已不再存在,但这一未来并未均匀分布。期待为他们的Sandbox提供动力!
Conductor has the distinct edge of being an IDE born for coding agents. An ADE if you will.
Agents will take remote dev mainstream. At most large and sensitive organizations, “local” isn’t a thing. But this future wasn’t evenly distributed.
Excited to power their Sandbox! https://t.co/CdNkKGlNcD
A
模型路由的重要性
随着代币预算在运营费用中占比逐渐增加,模型路由成为必然趋势。这也是应用AI层在时间推移中最大的差异化领域之一。通过理解你所在领域的不同工作模式,可以更好地应对这一变化。
As token budgets take on a larger part of operating expenses over time, model routing is the inevitable conclusion. This is also one of the biggest areas of differentiation for the applied AI layer over time.
By understanding the different work patterns in your domain, and
A
AI代理时代的竞争优势
在AI代理时代,一个关键问题是如何在竞争对手也能访问相同AI模型和智能的情况下,发展竞争优势。能够最好地利用内部机构知识和现有资源的公司将占据优势。
As we enter the era of AI agents, one of the defining questions is how you develop competitive advantage when your competitor has access to the same AI models and intelligence as you.
The companies that are able to best harness their internal institutional knowledge, existing
G
选举日的投票指南
今天是选举日。如果你在湾区并想知道什么是常识,我们汇总了我们最喜欢的常识团体的投票指南。请查看链接。
It's election day. If you're in the Bay Area and wondering what is common sense, we aggregated our favorite voter guides of the most common sense groups. Here it is:
https://t.co/uew3xcEEto
G
团队协作的重要性
在你和Claude或Codex写下任何代码之前,可以让CEO、设计师和工程师先查看你的计划,这非常强大。
You can have a CEO, a designer, and an engineer look at your plan in plan mode before you and Claude or Codex write a single line... and that's powerful
G
模型路由的争议观点
模型路由是一个重要议题。争议观点是:前沿实验室希望他们的AI工具成为护城河,但对消费者来说,模型能力的平坦化和商品化才是最佳结果。这是2027年AI工具战争的预览。
Model routing is an important thing
Controversial idea: the frontier labs will want their AI harness to be the moat, but ultimately the best case for consumers is that model capabilities flatten and commodify
Preview of the AI Harness Wars of 2027
G
任务编写的新方法
“技能化”是你应当为大多数任务编写的方式。编写生成代码的Markdown,而不是建立复杂的富士康工厂来调用代理。让代理以改善风格自主制作工具。
“Skillify it” is the way you should write most tasks
Write markdown that makes code
Don’t make elaborate Foxconn factories to call agents
Let agents make their own tools, kaizen style https://t.co/7pb7IJOnXI
N
小事的巨大影响
每日提醒:小事可以积累并产生巨大影响。去参加那个研讨会,参加那顿晚餐,写那篇文章,启动Claude Code,再跟进一次。我的建议毫无意义,真正让她找到工作的,是坚持不懈。
Daily reminder that small things can compound and have a huge impact..
Go to that workshop, attend that dinner, write that essay, fire up Claude Code, follow up one more time.
My advice was utterly meaningless - persistence is what truly got her the job.
Made my morning 🥰 https://t.co/8xcEH3X3Cu
N
公园散步第二部分即将发布
公园散步第二部分(与@taiuti合作)即将推出,敬请期待。
walk in the park part II (feat. @taiuti).. coming soon 👀 https://t.co/57WdrRvICw
P
与Omar合作的成果
与Omar合作,成功将可观察性和可验证的工作空间引入OpenClaw,进展顺利。
It’s been great working with Omar to get observability and verifiable workspaces into OpenClaw.
P
与微软合作的荣幸
能够与微软合作,将爪子技术引入企业,感到非常荣幸。
Such a privilege to work with Microsoft to bring claws to enterprises!
D
Lucas的贡献与离开
Lucas四年前加入我们,负责广告销售。他离开时已领导一个设计团队,持续在AI领域设定品味和创意方向的标准。他的创意对@every的视觉特色影响深远。
Lucas joined us four years ago to sell ads.
He’s leaving having lead a team of designers who consistently set the bar for taste and creative direction in AI. Much of what makes @every distinctive visually came from his brain—and you can see his influence across the AI
D
内部反应引发关注
内部对这一消息反应强烈,值得关注。
people internally are freaking out about this, worth paying attention:
D
对Opus 4.8的反馈
一周后,大家对Opus 4.8的看法如何?我们在测试中对其非常乐观,但在大家使用后反响似乎较为平淡。如果你不同意我们的看法,想知道原因以便调整评估。
Almost a week later! What are your thoughts on Opus 4.8?
We were extremely bullish on it in testing—it seems the response was more tepid once y'all got your hands on it. If you disagreed with our take I'm curious why so we can tune our evaluations!
One theory I have is that by