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自从 @ewind_dev 使用钞能力飞出了 PocketJS 并且蹬上不同硬件，我就在想能不能把 agent 也跑在这些设备上。🚴 最新的结果就是在 ESP32 上能运行的满血 pi harness！ 这个 pi core harness 可以正常对话、 调用 tools、管理自己的 workspace，还能设置 schedule，通过自己的 agent loop 再次醒来，并且也自带 UI！ Agent 后续可以作为整个系统的一等公民，自己创造迭代各种 plugins/apps 无痛跑在任何 PocketJS 支持的硬件上。感觉有超多好玩的应用场景可以蹬了！

Storage works more smoothly when it fits how teams already build. S3 compatibility connects storage with familiar tools, APIs, and workflow patterns as products expand. AIOZ Storage provides S3-compatible object storage across development, publishing, and delivery workflows.

Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.

Last night Apple briefly removed Telegram from the AppStore because a user had planted illegal porn in a public chat. Telegram was restored within hours. But I want to explain what happened — to warn other app developers and help protect online communities from similar attacks. Because Telegram quickly removes illegal content from public groups using all kinds of moderation tools, the attacker had to resort to a technical trick. He inserted AI-modified illegal content by editing an old message in an active group chat. As a result the content was effectively hidden from the group’s members, preventing them from seeing/reporting it. The attacker was a takedown extortionist: someone who demands ransom from group owners in exchange for not targeting their communities. These extortionists use automated accounts to plant illegal content in public groups and then report it directly to Apple, attempting to trigger the removal of legitimate communities whose owners refused to pay them. From a practical standpoint, illegal pornographic content in Telegram’s public groups is not a systemic problem. Our moderation is effective. The fact that attackers must resort to backdated, effectively invisible content and other technical tricks proves this. ⚠️ However, there are two important lessons here for app developers and online communities: — Extortionists have found a way to manipulate Apple into overreacting. Apple removed Telegram from the App Store before contacting us. This creates a potential systemic risk for every mobile app that hosts user-generated content. If an app used by more than a billion people can be removed from the App Store without prior warning, any app can be. — The tactics used by takedown extortionists are evolving, putting communities across social platforms at risk. Telegram has extensive experience identifying the tricks used by coordinated reporting gangs and protecting legitimate communities (even when doing so risks our own app being temporarily removed from the App Store). Other platforms may not be equally prepared. Stay vigilant! ☝️

A good research agent should't just answer a question. It should know which tool to call next. At every research workflow is carefully designed as a sequence of actions: 1. Clarify needs 2. Plan the study 3. Search personas 4. Scan social media 5. Build new AI Personas 6. Interview or run group discussions 7. Generate the research report and reusable panel Each step uses different tools to move the research forward. And the report is not the end. The Personas involved become a reusable AI Panel — a consumer asset you can return to whenever you have a new question. Validate an idea. Design a product concept. Analyze competitors. Build a go-to-market plan. One research workflow can become a reusable system for understanding the people you're building for. 👉 Start your AI research from here:

不少圈内玩家都在讨论当下Polymarket的真实行业现状： 普通参与者还停留在手动刷新盘面、紧盯涨跌行情的阶段，各类自动化交易脚本早已在GitHub完全开源对外开放。 整理8套不同赛道免费自动化程序，每一份开源项目都附带完整英文部署文档与功能详细说明： 1. CloddsBot 出自剑桥黑客松参赛项目，整合118套成熟交易策略，覆盖币安跨盘价差套利、趋势追踪、低价合约收割、智能委托、定期定投、到期价差抓取等多种玩法 2. polymarket_lp_tool 主打平台流动性订单自动化管理，核心作用提升流动性挖矿带来的奖励收益 3. Kalshi Weather Model 气象专项机器学习程序，不直接照搬公开气象播报数据，依托多年气象多维度数据集修正预测误差 4. Polymarket-Kalshi Arbitrage Bot 自动扫描两大预测平台之间存在无风险价差的机会，一键执行跨盘套利 5. Polymarket-bot 内置优质交易者筛选机制，自动筛选高胜率、稳定盈利钱包，生成自动化跟单队列 6. Prediction Markets Trading Bot Toolkits 全能型综合工具集合，支持跟单复制、跨市场套利、大户持仓监控、流动性做市、点差复利、体育赛事合约交易等多种功能 7. PolyWeather 国内开发者开发气象专用脚本，实时同步气象预报、机场观测、航空气象数据，生成指定周期城市气象分析报告 8. Awesome Prediction Market Tools 整合三十余款预测市场配套机器人与辅助工具合集 绝大多数开源工具都搭载Dry Run模拟运行模式，可以依托真实行情数据校验策略逻辑，无需动用自有资金实操。 客观来讲，如今的Polymarket早已不只是简单事件押注场所，而是量化代码、AI智能代理、程序开发者聚集的交易赛道。 Polymarket中文访问入口： 提醒各位，不要刚接触就直接实盘操作，务必通读源码、完整跑完模拟测试、吃透策略底层逻辑再做考量。 需要自动化同步高手交易的工具，我日常在用PolyCop： #Polymarket#

Someone 'accused' me of vibe coding the LFRR simulator. I've been coding since 1982, I've hand assembled machine code, injected fixes into running processes, worked on software that's made it to Mars and worked as a software developer for decades. OF COURSE I USED AI CODE TOOLS

🚀 Calling all innovators in Pakistan! We're thrilled to launch Pakistan's First and Largest Alibaba Cloud AI Hackathon—a unique opportunity for students, developers, entrepreneurs, and AI enthusiasts to turn bold ideas into real-world solutions powered by cutting-edge cloud and AI technologies. 📅 Registration closes: 7 August 2026 🔗 Secure your spot now: • Build with Alibaba Cloud’s advanced AI tools • Win cash prizes & exclusive Alibaba Cloud credits • Get direct mentorship from our tech experts • Showcase your talent on a national stage At Alibaba Cloud, we believe the future is built by local talent. Let's build it together. 💻✨ #AlibabaCloud# #AIHackathon# #CloudInnovation# #DigitalPakistan# #HackWithAlibabaCloud#

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4# on the Frontend Code Arena leaderboard with a score of 1,668! With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts. It also ranks high across all domains: #2# in Consumer Product #3# in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools #4# in Data & Analytics #5# Simulations Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena. Congrats to @Alibaba_Qwen on this huge release!

I no longer use format conversion tools. I had originally planned to download HandBrake, but on a whim I sent it directly to my agent, and it quickly helped me solve the problem. This shows that in the future AI era, tools like this will actually have less and less of a market.