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2026年7月11日

36 个源 · 24 条内容

PodcastAI

人工智能创造净就业机会,超预期发展。至少到目前为止,我非常确信人工智能一直在创造净就业机会。这不是我所期望的--尽管我比其他人不那么悲观,但我想.

至少到目前为止,我非常确信人工智能一直在创造净就业机会。这不是我所期望的--尽管我比其他人不那么悲观,但我认为通过这种水平的能力,我们会看到一些impact.it是可能的这个方向继续前进!so far at least, i'm pretty sure AI has been net job-creating.this was not what i expected--although i was much less pessimistic than others, i thought by this level of capability we'd have seen some impact.it is possible this direction keeps going!

Sam AltmanAI

GPT-5.6回复缺陷少于医生书面回复“医生发现GPT-5.6回复中的缺陷比医生书面回复少。"

“医生发现GPT-5.6回复中的缺陷比医生书面回复少。“Karan Singhal:GPT-5.6是健康事业向前迈出的一大步,无论是在前沿还是在成本方面。这些模型推动了每美元性能的前沿,为所有人带来最好的健康情报。️最小的var"physicians found fewer flaws in GPT-5.6 responses than physician-written responses."Karan Singhal: ♥️ GPT-5.6 is a major step forward for health, both at the frontier and at cost.These models push the frontier of performance per dollar, bringing the best health intelligence to all. The smallest var

Sam AltmanAI

一天增长超两周总和,模型表现佳,速下载体验!当你在1天内生长的时间超过过去两周的总和时,你知道这是一个很好的模型。从https://chatgpt.com/download/和gi安装桌面应用程序.

当您1天内的增长量比过去两周的总和还要多时,您就知道这是一个很好的模型。从https://chatgpt.com/download/安装桌面应用程序并尝试一下!You know it's a good model when you grow more in 1 day than last two weeks combined.Install the desktop app from https://chatgpt.com/download/ and give it a go!

Thibault SottiauxAI

Codex用户续用并推荐ChatGPT给亲友如果您以前使用过Codex,请做两件事1.继续使用Codex。这是给你的2。向您的朋友和家人介绍ChatGPT工作您总是.

如果您以前使用过Codex,请做两件事1。继续使用Codex。这是给你的2。告诉您的朋友和家人有关ChatGPT Work的信息您一直想向Codex展示,但他们技术含量不高,也不是每天都使用代码,并告诉我进展如何If you were using Codex before, two things to do1. Keep using Codex. It is for you2. Tell your friends and family about ChatGPT Work who you always wanted to show Codex but they’re not as technical and don’t work with code every dayand tell me how it goes

Thibault SottiauxAI

OpenAI GPT-5.6-sol在Code Arena前端开发中夺冠,展示AI编码进步这超级酷,但我想知道所有这些基准是如何工作的?如何衡量设计品味?

这超级酷,但我想知道所有这些基准是如何工作的?如何衡量设计品味?Arena.ai:令人兴奋的消息:@OpenAI的GPT-5.6-sol现已在Code Arena:Frontend中并列第一,与Claude Fable 5相匹配!这标志着OpenAI模型首次登上Code Arena的榜首,恶魔This is super cool but I wonder how all these benchmarks work? How do you benchmark design taste?Arena.ai: Exciting news: @OpenAI’s GPT-5.6-sol is now joint #1 in the Code Arena: Frontend, matching Claude Fable 5!This marks the first time an OpenAI model has reached the top spot in Code Arena, demon

Peter YangAI

本周末项目流程:Fable构建plan.html,Claude Design制作组件,GPT 5.6构建本周末我的新项目流程:->使用Fable构建带有设计指南的plan.html->使用Claude Design制作组件+屏幕->.

本周末我的新项目流程:->使用Fable构建带有设计指南的plan.html->使用Claude Design制作组件+屏幕->获取GPT 5.6来构建My process for a new project this weekend:-> Use Fable to build plan.html with design guidelines-> Use Claude Design to make components + screens-> Get gpt 5.6 to build

Peter YangAI

RT马特·范·霍恩:RT马特·范·霍恩:RT马特·范·霍恩:RT马特·范·霍恩:RT马特·范·霍恩:RT马特·范·霍恩:RT马特·范RT马特·范·霍恩:印刷机现在打印自我学习的CLI从现在开始它打印的每个CLI都会留下笔记,因此您的代理人在.

RT Matt Van Horseman Printing Press现在可以打印自学习CLIs从现在开始,它打印的每个CLI都会留下自己的笔记,因此您的代理每次运行都会变得更聪明。视频中的真实基准:同样的问题从10个电话变成了2个电话。在世界杯之前打印了ESPN CLI...它学会了自己RT Matt Van HornThe Printing Press now prints SELF-LEARNING CLIs Every CLI it prints from now on leaves itself notes, so your agent gets smarter every run. Real benchmark in the video: same question went from 10 calls to 2 calls. Printed an ESPN CLI before the World Cup existed... it taught itself h

Peter YangAI

汽车命名体现品牌智慧,简化命名仍存挑战汽车公司善于命名事物。每个人都知道我说“同意”是什么意思。他们知道这是一辆本田。他们可能会跟进“哪一年?.

汽车公司善于命名事物。每个人都知道我说“同意”是什么意思。他们知道这是一辆本田。他们可能会问“哪一年?”或“GX?“这是4个维度(品牌、型号、年份、修剪),每个维度对功能和质量有不同的影响。南宇:简化事物仍然是一个困难 Car companies are good at naming things. Everyone knows what I mean when I say "Accord". They know it's a Honda. They might follow up with "what year?" or "LX?"That's 4 dimensions (make, model, year, trim) each with different implications on features and quality.Nan Yu: Naming things remains a hard

Nan YuAI

AI代理辩论产品问题,超出现实跟进能力。RT JasonððŸ SaaStr. Vi ðLemkin:我不知道你可以在Claude体内使用Replit LCP。我今天打开/连接了它们,立即,Cl.

RT Jason SaaStr.Ai Lemkin我不知道你可以在Claude内部使用Replit LCP。我今天打开/连接了它们,Claude和我们的Replit代理立即开始谈论、辩论,并喋喋不休地谈论我们正在发货的新产品中的错误和问题。我实际上跟不上👾RT Jason ✨👾SaaStr.Ai✨ LemkinI had no idea you could use Replit MCP inside of Claude.I turned it on / connected them today, and immediately, Claude and our Replit agent started talking, debating, and going on and on about bugs and issues in a new product we’re shipping.I actually couldn’t keep up wi

Amjad MasadAI

销售团队超额完成178%目标,团队规模扩大至近100人。刚刚为我们的销售团队审查了第二季度业绩,我们实现了目标的178%!这个目标已经雄心勃勃,特别是因为我们只有一次政变.

刚刚为我们的销售团队审查了第二季度业绩,我们实现了目标的178%!这个目标已经雄心勃勃,特别是因为去年我们只有几名销售人员。如今,收入团队已接近100名,我们将政府、银行和增长最快的科技公司视为客户。Just reviewed Q2 results for our sales team and we hit 178% of our goal!That goal was already absurdly ambitious, especially since we had only a couple of sales people last year.Today revenue team is closing on 100 and we count governments, banks, and fastest growing tech companies as customers.

Amjad MasadAI

用Replit替代Notion,节省成本高效办公RT Jahid:我刚刚取消了我的@NotionHQ每月20美元的商业帐户,因为我使用@Replit构建了整个类似于概念的应用程序供我们的团队使用。它的作用只是f.

RT Jahid我刚刚取消了我的@NotionHQ每月20美元的商业帐户,因为我使用@Replit构建了整个类似于概念的应用程序供我们的团队使用。它工作得很好。它只花了我不到100美元。拥有基础设施。RT JahidI just canceled my @NotionHQ $20/month business account as I built entire notion-like app using @Replit for our team to use. It works just fine. It just cost me under $100. Own the infrastructure.

Amjad MasadAI

企业AI应用改变工作流程,提升投资回报如果您正在考虑企业中的应用人工智能,这是一篇很棒的文章。这篇文章的标题是关于哪些公司从人工智能中有巨大的好处,.

如果您正在考虑企业中的应用人工智能,这是一篇很棒的文章。这篇文章的标题是关于公司从人工智能中获得的巨大好处,但最深刻的收获是关于人工智能转型在组织中的样子。它从根本上讲是关于改变底层工作流程或bThis is a great post if youre thinking about applied AI in the enterprise. The headline of this post is about what companies have huge upside from AI, but the deepest nuggets are about what AI transformation looks like in an organization.It’s fundamentally about changing the underlying workflow or b

Aaron LevieAI

平台存在令人厌恶的参与诱饵,创始人不应用其破坏诚信。RT Varunram Ganesh:在这个平台上有一种极其令人厌恶(不幸的是非常流行)的参与诱饵方式,其中涉及到.

RT Varunram Ganesh在这个平台上,有一种极其令人厌恶(不幸的是非常受欢迎)的参与诱饵方式,其中涉及WC,其中包括评论WC、关于WC的随机虚假阴谋论,以及在这种情况下直接对YCI撒谎,如果你有RT Varunram GaneshThere's an extremely distasteful (and unfortunately very popular) way to engagement bait on this platform that involves YC that includes commenting on YC, random false conspiracy theories about YC, and in this case straight up lying about YCI don't get why you'd do that, if you hav

Garry TanAI

思考机器公司通过API训练模型,比OAI更灵活。制作特工想要的东西

让经纪人想要的东西迈克尔:thinking machines实际上是一个非常有趣的公司仪表板慢到无法使用,但你现在可以通过删除api键并告诉fable训练一个模型来训练模型,所以这并不重要它实际上是通过api训练模型,但比oa更灵活。Make something agents wantMichael: thinking machines is actually such a funny companythe dashboard is slow enough to be unusable but you can now train a model by dropping the api key and telling fable to train one so it doesn’t matterit’s literally train models by api, but more flexible than what oa

Garry TanAI

Ok Fable和Sol快速提供iOS应用,见证科技发展速度Ok Fable和Sol在几个小时内就为我提供了一个基于后台和网络应用程序的完全可用的iOS应用程序。我们生活在一个多么疯狂的世界啊

Ok Fable和Sol在几个小时内就为我提供了一个基于后台和网络应用程序的完全可用的iOS应用程序。我们生活在一个多么疯狂的世界啊Nikunj Kothari:我认为人们仍然睡在实时语音驱动的消费者体验上。发布我最新的针对孩子们的副业项目:Upon A Voice Ok Fable and Sol got me a fully working iOS app in a few hours based on the backend and the web app.. what an insane world we live in 🤯Nikunj Kothari: I think people are still sleeping on realtime voice driven consumer experiences..Releasing my latest side project geared towards kids: Upon A Voice

Nikunj KothariAI

RT萨姆·奥尔特曼称5.6 sol为全球最佳模型,埃隆·马斯克对其评价最可靠。RT萨姆·奥尔特曼:有很多基准表明5.6 sol是目前世界上最好的模型,但最可靠的判断方式是.

RT Sam Altman有很多基准表明5.6 sol是目前世界上最好的模型,但最可靠的判断方式是埃隆再次痴迷于我RT Sam Altmanthere are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again

Peter SteinbergerAI

苹果员工涉嫌窃取文件,与谷歌前员工行为类似看起来很糟糕

似乎很糟糕Gerrit De Vynck:有关一名苹果员工的重大指控,该员工于2026年1月加入OpenAI,持有笔记本电脑,在苹果系统中发现漏洞并在几周内窃取文件。🦭这与安东尼·莱万多夫斯基(Anthony Levandowski)在2018年被谷歌指控的行为类似seems badGerrit De Vynck 🦭: Major allegations about an Apple employee who joined OpenAI in Jan 2026, kept a laptop, found an exploit in Apple's systems and stole files over a multi-week time. This is similar to what Anthony Levandowski was accused of doing by Google back in 2018

Dan ShipperAI

AI技术发展迅速,云代理模型选择多样化人工智能中的一切都发展得如此之快。我们即将到达这里:-在云中运行所有代理-选择任何模型(边境、OSS、中国、美国)-Ch.

人工智能中的一切都发展得如此之快。我们将到达这里:-运行云中的所有代理-选择任何模型(前沿,OSS,中国,美国)-选择任何工具-拥有完整的跟踪-拥有递归改进循环我知道它会在那里,但它会已经发生吗?Everything in AI moves so fast.We are going to get here:- Run all the agents in the cloud- Choose any model (frontier, OSS, Chinese, American)- Choose any harness- Have full tracing- Have recursive improvement loopsI know it will be there but can it happen already?

Aditya AgarwalAI

销售团队超额完成178%业绩目标RT Amjad Masad:刚刚审查了我们销售团队的第二季度业绩,我们实现了目标的178%!这个目标已经雄心勃勃,特别是因为我们.

RT Amjad Masad刚刚回顾了我们销售团队的第二季度业绩,我们达到了目标的178%!这个目标已经是非常雄心勃勃的了,尤其是去年我们只有几个销售人员。今天,我们的收入团队接近100人,我们把政府、银行和增长最快的科技公司都算在内, RT Amjad MasadJust reviewed Q2 results for our sales team and we hit 178% of our goal!That goal was already absurdly ambitious, especially since we had only a couple of sales people last year.Today revenue team is closing on 100 and we count governments, banks, and fastest growing tech companies as

Aditya AgarwalAI