👉 learnai.selfworks.ai
Agent 会成为每个人的日常工具。理解它的工作方式,能帮你更好地使用它。
所以我做了 LearnAI:从开源 Agent 的真实源码出发,帮你看懂 Agent 是怎么工作的。
接下来还会建一个 LearnAI 微信交流群。感兴趣的朋友,注册后可以通过账户页面里的微信号添加我,一起学习和交流 Agent。
kayce retweeted
Turning complicated hardware into simple, fun lessons | ESP32 edition
Just like my Arduino app, this one shows you what the ESP32 can do, one circuit at a time.
Made with Opus 5.5
learn-esp32.vercel.app
Hardware looks scary until you break it down into small steps. So I built an app that takes you through Arduino one circuit at a time.
Made with Opus 5.5
learn-arduino-red.vercel.app
AI 大量写代码之后,传统代码审查方式已经跟不上了。
以前大家关心的是“有人看过代码了吗”,现在更该关心的是“这个改动可能出什么问题,该用自动化还是人工来拦住”。
人的时间应该留给真正需要判断的事:要不要做这个功能、架构方向对不对、高风险逻辑是否合理、出了问题谁负责。常规的错误检查,尽量在提交前就让 AI 自己跑测试、做验证,再用多层自动化(AI 审查、安全检查、测试等)尽量拦截。
更重要的是心态转变:不追求合并前绝对不出错,而是承认总会有漏网的,所以把“出问题后能快速关掉、快速回滚”做成最后防线。新功能先放在开关后面,先给内部人用,有问题直接关开关,不用重新发布;回滚尽量做到几分钟内完成。
衡量流程好不好,也不只看有没有人审批,而要看人类真正花了多少时间,以及回滚率和事故率有没有上升。如果回滚变多了,说明问题只是被推迟了,并没有真正解决。
核心就一句话:在 AI 写代码越来越快的时代,把人的注意力从“逐行检查代码”,转移到“控制风险 + 快速恢复”上。
这个有意思
This looks more fun than a robot duck... a $400 humanoid built around an old phone.
UCLA’s RoMeLa team built PhoneBot from an Android phone and a modular body with 13 motorized joints. It can walk, turn and get up from a face-down position.
The phone supplies the camera, motion sensors and processing power for vision and walking control. The team even ran the core software on a 2017 Honor 9.
The team estimates the hardware cost at around $400, not including the phone. CAD files and the parts list are already online.
kayce retweeted
There’s a reason I tell everyone to skip Tailscale and setup WireGaurd directly
Minimize the attacks surface areas, stop adding unnecessary links that are a supply chain disaster in the making
操,这么快就轮到tailscale了
‼️ Tailscale SSH Flaws Could Let Hackers Gain Root Access Across Servers
Details: cybersecuritynews.com/tailsc…
A new security report warns that Tailscale SSH has flaws that could let a hacker move from one compromised device to root access on other servers. Tailscale SSH lets approved devices log in to each other over a private network. The report lists 11 findings in five groups.
They cover Tailscale’s SSH server, its serve and app connector features, the DERP relay client, and headscale, an open-source server that manages Tailscale networks.
The researcher tested Tailscale 1.104.2 and headscale 0.29.5 between October 22 and October 24, 2026. The most serious group involves Tailscale SSH. Its SSH server runs inside tailscaled, a background program with full root privileges on the machine.
#cybersecuritynews
Readers added context they thought people might want to know
The flaws require an already-approved device in the Tailscale network with SSH rules permitting access/forwarding; they enable post-compromise lateral movement and escalation inside the tailnet, not unauthenticated remote access from outside.
tailworm.com
brandefense.io/security-news/…
tailscale.com/security-bulle…
x.com/mmaunder/statu…























