yillkid

[周览资源 @grgerwcwetwet]

GitHub 狂揽 9.7K Star！有人做了个 AI 新闻雷达，直接帮你从全网挖掘高价值信息！

1、聚合 X、Telegram、Reddit、GitHub、Hacker News、RSS 等多个信息源。

2、AI 自动筛选、评分、去重，把真正值得看的内容留下来。

3、自动生成中英文每日简报，还能补充事件背景和网友讨论。

GitHub： ⁠https://t.co/AuuNITAuE1

[Angus @XAngus]

Meta 首席 AI 官 Alexandr Wang 最新 72 分钟全访谈：中英字幕完整版 ⬇️ 🔖

[David Senra @davidsenra]

My conversation with @alexandr_wang, chief AI officer of Meta.

0:00 The vision behind Muse
1:32 Discovering the potential of personal AI agents
3:34 Three years of therapy in one AI session
5:46 Building Muse in 7 months
9:16 Why Meta bet on personal AI
16:51 Mark Zuckerberg's obsession with improving products
20:15 How Meta knew Muse was ready to launch
23:32 Why great products need a single point of view
25:56 Making Meta cool again with memes
34:38 Building trust with AI agents
38:43 The future of human ambition
45:22 The call from Mark Zuckerberg that changed everything
52:13 Leaving Scale AI for Meta
55:19 Rebuilding Meta's AI lab from scratch
58:13 From founder to coach
1:05:55 The future billionaires at Alexandr's 19th birthday party
1:08:04 Diamond mining vs. building skyscrapers
1:09:21 Why Alexandr has more than 200 direct reports

Includes paid partnerships.

[婷 @shijianzhongg]

GitHub上今天的爆火开源项目rea：

😄 REA：逆向工程一切

使用智能体逆向工程任何程序，从应用行为到原生二进制文件。

通过AI它就能把一个软件从头到尾拆开，告诉你背后怎么干活。

挖App隐藏功能、查可疑软件有没有后门、学大厂代码思路

[FeiZ @Fei2411]

分享一下我在做的“DeepSeek Bot”，基于 @DeepSeekHarness 打造的 Bot，一个插件将 DSH 桌面端/Web 转化成 DeepSeek Bot 形式，支持自定义模型接入，支持群聊（非常消耗使用额度）

后续将会在仓库开源（目前只有 Readme 和 license 占位，但是很快！）：https://t.co/xvE3HYxcCg

[陈大黄 @realchendahuang]

GitHub 上出现了一个体量极大的 AI 工程全栈开源教程。

它一口气拆了 20 个阶段、523 个模块：
线性代数、反向传播、神经网络、语音处理、Transformer、模型微调、强化学习、多模态、MCP 协议、Agent 执行循环、多智能体协作、生产级部署。

最硬核的是它把教程本身做成了 Agent 技能，终端跑一行命令装进 Claude Code 或 Codex，本地智能体直接化身一对一导师，随时出题、改代码、跑测试。

523 个模块全部开源，每节课写完都会交付一个可以直接复用的提示词、Skill、Agent 或 MCP 服务。

项目地址：
https://t.co/qhCERbk35j

[jiangkoumo @jiangkoumo_]

非常好的一篇文章，让你对上下文压缩管理有一个更深层的理解

[Mnimiy @Mnilax]

China f*cked the world again

DeepSeek just dropped a killer library that saves up to 98% on tokens ur GPT Astra and Opus 5.5

it's DeepGEMM, the engine DeepSeek trains and runs its own models on

faster GPU math -> more tokens per GPU -> cheaper tokens

> plug the engine DeepSeek uses into your own models
> squeeze more tokens per second out of the GPUs you already pay for
> match or beat expert-tuned GPU libraries on speed

u will pay $1.6 instead of $50

its sitting in one public repo, link below

[roman @Nozelcode]

🚨 ESTO NO SE LO ESPERABA NADIE

Jack Dorsey, ex-CEO de Twitter, acaba de publicar gratis un framework completo para construir un negocio operado íntegramente por agentes de IA.

El proyecto ya ha superado las 35.000 estrellas en GitHub.

Cómo ponerlo en marcha en unos 5 minutos:

1. Clona el repositorio.
2. Levanta tu propio servidor desde el que podrás gestionar canales, búsqueda, Git y automatizaciones.
3. Incorpora tu agente a cualquier canal como si fuera otro miembro del equipo, asigna sus permisos y trabaja con él en tiempo real.

Guarda este post porque probablemente vas a necesitar volver a él.

Te dejo el repositorio abajo 👇

[Los ingobernables del caribe🌴 @Losingoberm5nv]

🚨 ¡BOMBAZO EN GITHUB! 🔥

Acaban de soltar un repo que te deja usar Claude Code GRATIS y para siempre.

No es truco ni magia negra.
Simplemente redirige todo el tráfico a 10 proveedores gratuitos (DeepSeek, Kimi, NVIDIA y más) de forma automática.

⏱️ Configuración: 5 minutos
🔥 Ya lo están usando +40.000 developers
🚀 Mantiene casi el mismo rendimiento

¿Sigues pagando la suscripción de Claude cuando puedes tenerlo gratis?
Este repo está explotando en Twitter y GitHub.
Todos los programadores lo están compartiendo ahora mismo.

[Matt @rich_matt]

Using /goal with DeepSeek V4 Flash in Codex feels like robbing a data center

[Linas Beliūnas @linasbeliunas]

Instead of watching 2 hours of Netflix tonight, watch this in-depth interview with Kimi founder Zhilin Yang.

He explains why everyone’s racing on reasoning while Claude quietly bet on agents - but the real hard part isn’t the agent itself, it’s the model underneath.

His memorable metaphor: a pure reasoning model is like “a brain in a fish tank” - it can think forever but never touches the world. An agent is that brain wired to tools, memory, and action.

Yang shares how they’re thinking about K2 helping build K3 through strong agent skills, the biggest bottlenecks in generalization, test-time scaling in two dimensions, and even how RL-style thinking applies to both models and running teams.

Whether you’re building agents, scaling models, or just want to understand frontier AI thinking beyond the usual Western narratives, this is one of the clearest and most thoughtful long-form discussions available right now.

Bookmark it & watch - it might be the most valuable 100 minutes you spend on real AI engineering and strategy this month.

[Swati Gupta @hrswatigupta]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

In 45 minutes, she breaks down how Anthropic builds agents that remember, learn from their mistakes, and get smarter with every run.

Worth more than any paid course you'll find on building agents.

Watch this and bookmark

[Dhairya Karekar @dkare1009]

Anthropic just released a FREE 4-hour course on using Claude like its own engineers. 🤖

If you use Claude for coding, research, or productivity, this is worth watching.

What you'll learn:

⏱️ 00:15 — Prompt Claude the right way
⏱️ 33:21 — Why Claude struggles with code
⏱️ 01:33:39 — Anthropic's daily workflow
⏱️ 02:50:56 — The tweak that makes Claude much smarter
Whether you're a beginner or an AI builder, this course offers practical techniques you can apply immediately.
📌 Bookmark it for later.
📖 Watch the course, then read the guide below to reinforce what you learned.
What's your favorite Claude feature—Projects, Code, Skills, or Artifacts? 👇

#AI #Claude #Anthropic #PromptEngineering #AIAgents #Productivity

[Roy Levi @roylev0]

This would be the best programming language ever.

[yillkid @yillkid]

Requesting faucet funds into 0x4D4818A9a05fE415343f5A96e0342ef83d1AFD45 on the #Rinkeby #Ethereum test network.

[yillkid @yillkid]

走路訓練。 @ Groß-Bieberau https://t.co/pwBnufnWcs

[IOTA @iota]

Taipei municipality and the IOTA Foundation teams up on Taipei's Smart City Living Lab initiative together with @biilabsrocks to make Taiwan's capital a leading smart city.

#IOTA #smartcity

[lmanchu @lmanchu]

Thanks for the time from the commissioner of information tech, Taipei city. We will have good cooperation between Taipei city & #iotatoken Foundation. Sure, include @biilabsrocks

[yillkid @yillkid]

I just published “Deploy IOTA fullnode on ASUS Tinker Board” https://t.co/HEZsssWGsQ