人类是自我意识的产物

🚨 Governments pay millions for this. Someone just open sourced it for free. It's called Crucix. It watches the entire world. And texts you when something changes. It pulls from 26 live data sources every 15 minutes and renders everything on a single Jarvis-style dashboard. Here's what it watches: → Satellite fire detection (NASA) → Live flight tracking → Radiation monitoring → Conflict zone events → Economic indicators from the Fed → Live market prices, crypto, oil, and commodities → Sanctions lists → Social sentiment from 17 Telegram intelligence channels → Maritime vessel tracking → News from GDELT and RSS feeds Here's what makes this one different: It's two-way. It pushes alerts to your Telegram and Discord. You text it back. Type /brief from your phone and get a full intelligence summary. Type /sweep to force a new scan. It responds like an assistant. It even generates trade ideas based on cross-domain signals. No cloud. No subscription. No telemetry. Runs on your machine. node server.mjs That's it. Your own intelligence terminal. This is the kind of setup that costs six figures behind closed doors. 100% Open Source. MIT License.

@TomHanklus 他们都很有想象力对吗？

未来已来，十年前网友们讨论的东西。

@HYF98334204 嘿嘿

闯入镜头的那些路人，一时分不清谁是主角了！ 😂

@xai chatgpt.com/s/t_69b8efb7fe…

一人即是华尔街。 有位开发者开源了一个 AI 交易 Agent，集成顶尖调研、量化团队、风控中心和交易中心。 项目完全开源免费，部署到本地电脑后，可以全天候 24 小时运行。 GitHub：github.com/TraderAlice/Op…

AI 编程的范式转移！💥 SuperPowers 已在 GitHub 狂揽 84k+ Star ，Fork 6.6k 次，还在飙升中！ 一句话概括：它给 AI 编程助手装上了一整套真正的软件工程流程。 大多数 AI 编程助手是你说一句需求，它直接开始写代码。结果代码能跑，但项目很快乱成一团。SuperPowers 做了一件狠狠的事——强制 AI 按照真正的软件工程军规来工作。 核心逻辑极其优雅：7 阶段强制流水线，缺一不可。 脑暴+设计验证 → git worktree → 计划拆分 → 子Agent执行+TDD → 审查 → 完成分支/PR 先用苏格拉底式追问逼你把需求说清楚，再自动生成设计文档；设计通过后才开始拆任务，每个任务精确到文件路径和代码片段； 然后严格执行 TDD（红绿重构），先写测试、看它失败、再写代码、看它通过——跳过测试的代码直接删掉重来； 每个任务完成后触发双阶段代码审查，先查规格符合度，再查代码质量，Critical 问题不解决不许前进； 最后多 Agent 并行协作，主 Agent 调度子 Agent 分头执行，跑完自动开 PR。 已支持 Claude Code、Cursor、Codex、Gemini CLI 全平台，零配置安装，技能自动触发，你什么都不用做，AI 就已经有了 Superpowers。 今天的 AI 只是你的副驾驶，SuperPowers 要让它成为整个工程团队。#AI编程 #Cursor 传送门 👉 github.com/obra/superpowe…

程序员圈估计要炸了， 有人把全网从零开始造轮子教程都汇总到了一起， 这个叫自建XX的项目，现在已经是GitHub星标最高的仓库了， 46.6万颗星，超过React，超过TensorFlow，比所有热门工具库的星标都多。 它本身不是什么代码库，就是一套教程合集，一步步教你怎么从零开始，把你天天用的技术亲手再做一遍。 费曼说过一句话：凡我不能亲手创造的，我便无法真正理解。 这就是它为什么火， 喵个咪，内容真的吓人： 从从零克隆Redis，到500行C写Docker，自己实现Git，不调框架写神经网络，C语言写操作系统，从解释器开始做编程语言，逐像素做光线追踪渲染器...还有Web服务器、浏览器、搜索引擎、区块链、BT客户端，什么都有🥹 每个项目都有多语言版本，主流语言基本覆盖了， 很多人没看懂，但这真不是给新手找活干的教程， 可以说是软件工程师最高阶的学习材料了， 当你从零重建一遍系统，你就得直面当年原作者做的每一个技术决策——没有依赖库可以躲，没有封装好的接口可以调用，错了就是错了，跑不起来就是跑不起来，无处可逃😂 现在AI生成代码越来越方便了，但这种知识反而越来越值钱，AI能帮你调库写接口，但它替不了真正懂系统本质的人。 46.6万人标星，4万多人复刻分支，所有内容全免费，不需要注册，不需要付费。 理解一件事最好的方式，就是亲手把它做出来， 100%免费，100%开源，真的牛逼， GitHub链接放评论区了 👇

@minchoi grok.com/share/bGVnYWN5…

Introducing Code Review, a new feature for Claude Code. When a PR opens, Claude dispatches a team of agents to hunt for bugs.

1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.

嘿嘿Hehe

A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks.

@sentdefender 部署军队在哪里 不就可以解决了？

Before the start of Operation Epic Fury, Gen. Dan Caine, the Chairman of the Joint Chiefs of Staff, told President Donald J. Trump several times that an American attack could prompt Iran to close the Strait of Hormuz, stating that U.S. officials had long believed Iran would deploy mines, drones and missiles to close the world’s most vital shipping lane in the case of a full-scale war with the United States. President Trump acknowledged the risk, moving forward with his decision to launch wide-spread strikes against Iran alongside Israel, telling his team that he believed Tehran would likely capitulate before closing the Strait of Hormuz - and even if Iran tried, the situation could be quickly handled by the U.S. Navy, according to people with knowledge of the discussions who spoke to the Wall Street Journal.

We trained a new flood forecasting model designed to predict flash floods in urban areas up to 24 hours in advance. To help address a flash floods data gap, we created Groundsource: a new AI methodology using Gemini to identify 2.6M+ historical events across 150+ countries. We’re open-sourcing this dataset to advance global research, and urban flash flood forecasts are live now in Flood Hub to help communities stay safe.

@marklit82 哇哦

There is now ~100 TB of imagery as fine as 4cm of Quebec making its way to S3. One of these images is to the left and for comparison, Google Map's image of the same location to the right.