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Lately my brain feels more like an AI agent, looping, branching, and continuing without a clear exit. Curious if others are experiencing this too? @miaoli1315/after-the-spark-ai-and-the-mind-that-wont-settle-c86928822de3?sk=11c5ae69699bb2403a2e3e7d573767a3" target="_blank" rel="nofollow noopener">medium.com/@miaoli1315/af…

we as software engineers are becoming beholden to a handful of well funded corportations. while they are our "friends" now, that may change due to incentives. i'm very uncomfortable with that. i believe we need to band together as a community and create a public, free to use repository of real-world (coding) agent sessions/traces. I want small labs, startups, and tinkerers to have access to the same data the big folks currently gobble up from all of us. So we, as a community, can do what e.g. Cursor does below, and take back a little bit of control again. Who's with me? cursor.com/blog/real-time…

I'm usually not one to write thought pieces without much technical depth. But here we go. Slow the fuck down. mariozechner.at/posts/2026-03-…

New on the Anthropic Engineering Blog: How we use a multi-agent harness to push Claude further in frontend design and long-running autonomous software engineering. Read more: anthropic.com/engineering/ha…

@axiaoxin spec driven development了解下，会被惊艳到

不要试图让AI给出一个完美的方案才开始。 详细描述自己的需求，并让AI确认是否有疑问，不断讨论交流，根据其可能输出的错误理解，回补完善修正自己的需求描述，最终双方达到可以基本准确描述需求和理解需求。 最后再retry几次，选一个最符合要求的回复后，继续推进，不要奢望一次性搞好个大工程。

开启第二阶段任务。

@aarondfrancis You are not alone. Seems some training data pollution. It happened to me when I gave it a complex task. community.openai.com/t/chinese-gamb…

Codex is randomly hitting me with some ancient wisdom... for some reason.

This is just too cool. I couldn't stop playing with it. Look! I have a 3D Chromie Squiggle on my phone. #chromiesquiggle #GenerativeArt #Deepseek

@teortaxesTex Thanks for the heads up. I tested the web version on my phone. This just blew my mind! I asked it to make a chromie squiggle for me for my phone. This is what I got after a few rounds of tuning. Done on my phone completely while I was cooking in the kitchen! My kid loves it!

How I test V4-lite: GIGA INTELLECT Metaballs Refraction Demo in one html file bicycle pelican.svg is so H2 2025

@yuxiyou 既然大神都这么说，我就不那么自惭了，也只能拼命写test以求心安😂

今天让 ai 做了一个很复杂的 Vue 相关的功能，框架层面的，一开始页面完全是挂掉的，我觉得 4.6 Opus 终于也有极限啊，没想到在指点它起一个真的服务器然后用 playwright debug 之后居然真的修好了。仔细看了下它有些地方实现我看得都很累，感觉以后有一天可能不懂 vue 这个梗要成真了…

@teortaxesTex 信息饥渴到这种程度了么？连新春祝福语也要反复掂量是不是别有深意 😂

DeepSeek's official position on the Chinese New Year AI Race:

@dotey 不用理会这样的评论，文章有价值，用不用AI写作完全不重要。

我一直借助 AI 写作的，这不是什么秘密，我也不以此为耻，毕竟所有内容都是我要表达的也是我把关的。 这就好比我是个管理者，我会把下属的功劳占为己有，同样也会承担下属犯错带来的责任。 如果不习惯的话，建议取关，或者可以把重点更多放在内容是否有价值上

@Presidentlin Because big corporates need it and are using it.

Microsoft is going to stick to its Teams strategy and just bundle all the agent features into GitHub. I honestly don't see why they are even charging for it. I'm perfectly happy with Codex and Gemini CLI for local code review and Codex Code Reviews if I ever want to use web.

We just announced new primitives for building agents. Here are 10 tips on running multi-hour workflows reliably 👇 developers.openai.com/blog/skills-sh…

@dotey @mtrainier2020 越来越觉得代码如何实现不重要，有完整的QA control更重要，能100%通过各种 unit test, integration test, uat, e2e test, performace test, security test, 就基本上不用担心代码问题了

@mtrainier2020 现在最大的问题是初级程序员怎么成长为中高级程序员？

当软件开发变得越来越简单，那么创意以及对需求的理解变得越来越重要。 AI发展的也快，人月神话的意义就越重要。 人月神话，人是程序员，月是时间，，如果1人干10个月，是不是等同10人干1个月？ 另外，随着AI的发展，古法的TDD反而更加有现实意义了。 但是，AI取代初级程序员的趋势不可避免。

Job seekers in the U.S. and many other nations face a tough environment. At the same time, fears of AI-caused job loss have — so far — been overblown. However, the demand for AI skills is starting to cause shifts in the job market. I’d like to share what I’m seeing on the ground. First, many tech companies have laid off workers over the past year. While some CEOs cited AI as the reason — that AI is doing the work, so people are no longer needed — the reality is AI just doesn’t work that well yet. Many of the layoffs have been corrections for overhiring during the pandemic or general cost-cutting and reorganization that occasionally happened even before modern AI. Outside of a handful of roles, few layoffs have resulted from jobs being automated by AI. Granted, this may grow in the future. People who are currently in some professions that are highly exposed to AI automation, such as call-center operators, translators, and voice actors, are likely to struggle to find jobs and/or see declining salaries. But widespread job losses have been overhyped. Instead, a common refrain applies: AI won’t replace workers, but workers who use AI will replace workers who don’t. For instance, because AI coding tools make developers much more efficient, developers who know how to use them are increasingly in-demand. (If you want to be one of these people, please take our short courses on Claude Code, Gemini CLI, and Agentic Skills!) So AI is leading to job losses, but in a subtle way. Some businesses are letting go of employees who are not adapting to AI and replacing them with people who are. This trend is already obvious in software development. Further, in many startups’ hiring patterns, I am seeing early signs of this type of personnel replacement in roles that traditionally are considered non-technical. Marketers, recruiters, and analysts who know how to code with AI are more productive than those who don’t, so some businesses are slowly parting ways with employees that aren’t able to adapt. I expect this will accelerate. At the same time, when companies build new teams that are AI native, sometimes the new teams are smaller than the ones they replace. AI makes individuals more effective, and this makes it possible to shrink team sizes. For example, as AI has made building software easier, the bottleneck is shifting to deciding what to build — this is the Product Management (PM) bottleneck. A project that used to be assigned to 8 engineers and 1 PM might now be assigned to 2 engineers and 1 PM, or perhaps even to a single person with a mix of engineering and product skills. The good news for employees is that most businesses have a lot of work to do and not enough people to do it. People with the right AI skills are often given opportunities to step up and do more, and maybe tackle the long backlog of ideas that couldn’t be executed before AI made the work go more quickly. I’m seeing many employees in many businesses step up to build new things that help their business. Opportunities abound! I know these changes are stressful. My heart goes out to every family that has been affected by a layoff, to every job seeker struggling to find the role they want, and to the far larger number of people who are worried about their future job prospects. Fortunately, there’s still time to learn and position yourself well for where the job market is going. When it comes to AI, the vast majority of people, technical or nontechnical, are at the starting line, or they were recently. So this remains a great time to keep learning and keep building, and the opportunities for those who do are numerous! [Original text; deeplearning.ai/the-batch/issu… ]

@Emmilatan @LXT_supreme @teortaxesTex 这是上春晚呀？！

@LXT_supreme @teortaxesTex I don't think they'll do any skits - just say some blessings like in a podcast

@teortaxesTex Please stay tune！！！Our autistic boss is about to give a speech！！！😍

moltbook.com is art.

@Wisdom_HQ a + b = 200; a - b = 170; Therefore, a = 185; b = 15; a is the height of the person, b is the height of the parrot.

@Hikarumao 我开始也是这样想的，直到后来我有太多plant babies. Babies需要额外照顾

你们知道有很多绿植博主会搞一个绿植柜，把植物集中放在一起，照光，浇水。这种方式在我看来带着一种苏维埃式的工业气息。我更喜欢把他们见缝插针，高低错落地布置在我生活的各个角落。☺️