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Zambia has started connecting 751 health facilities across all 10 provinces with Starlink, and the first 90 kits went to Western Province. There's something poetic about where they started. Every year at the end of the rainy season the upper Zambezi floods the Barotse plain, and for centuries the Lozi king has left his compound at Lealui by royal barge and moved to higher ground at Limulunga. The ceremony is called Kuomboka. In Lozi it means "to get out of water." Now picture running fiber or building towers across land that turns into a lake for part of every year. A Starlink dish only needs a clear view of the sky, so the water below stops being the problem. In March 2020, months before Starlink had its first beta users, Elon Musk said it would serve the 3 or 4 percent hardest-to-reach customers, people with no connectivity or really bad connectivity. Six years later, with funding from the Global Fund through Zambia's Ministry of Health, clinics on one of Africa's great floodplains are being brought into the country's electronic health systems from orbit.

我去！有人把私募量化研究员的整套技术体系，整理成了一份免费的中文实战手册！ 从因子挖掘、机器学习选股，到 Barra 风险模型、组合优化和 A 股真实交易规则，连 Python 源码都准备好了！ 这个开源项目就是 quant-handbook。 涵盖 8 大模块、31 讲课程和 31 份 Python 实战示例，从因子挖掘、机器学习选股到组合优化、策略回测都有！ 核心亮点： 1️⃣ 数据工程：使用 Polars、DuckDB 处理行情数据，解决复权、财报对齐和未来数据泄漏。 2️⃣ 因子研究：覆盖量价、基本面、订单流因子，以及 IC/IR、分层回测和因子正交化。 3️⃣ AI 量化选股：结合 LightGBM、CatBoost、SHAP，构建机器学习选股流程。 4️⃣ 组合优化：实现 Barra 风险模型、风险平价、行业中性和换手率约束。 5️⃣ 真实交易回测：模拟 A 股 T+1、涨跌停、停牌、手续费、印花税和市场冲击成本。 6️⃣ 绩效归因：分析 Alpha、Beta 收益来源，监控特征漂移和组合风险。 以前学量化，因子会算、模型会训练，但真正做回测时，未来函数、交易成本和风控问题经常被忽略。 这套手册把完整的量化研究流程都串起来了。 我比较喜欢它对回测真实性的处理，不只是计算收益曲线，还把无法成交、交易成本和未来数据泄漏这些问题考虑进去了。 31 讲都有对应的 Python 示例，适合从零学习，也能作为量化策略开发的参考。 做 A 股量化、机器学习选股，或者想系统学习量化研究的，这份手册值得收藏！

建议收藏，用到时照着做。做完你能让 DeepSeek 自己决定“要不要调用你写的函数”，并把结果用人话讲回来。 AI 能查天气、查订单，是它自己去查的吗？DeepSeek 官方一句话拆台：模型本身不执行任何函数 这是 DeepSeek 官方 API 文档里 Tool Calls（工具调用）一页。先说结论： 官方原话是，函数要由你自己提供，模型本身不执行具体函数。它只负责说“我想调这个函数、参数是这些”，真正去跑的是你的代码。 先说清词。 工具调用（Tool Calls），是让模型能用外部工具的功能，比如查天气、查数据库。 函数（function），是你自己写好的一段代码，模型只会“点名”它。 tool_call_id（工具调用编号），是模型每次点名时附带的一个号码，你回传结果时要带上它，模型才知道你在回答哪一次。 strict 模式（严格模式，Beta 测试版），是让模型点名时严格按你定义的格式填参数。 一个真实例子：官方示例问“杭州天气怎么样”，模型返回的是 get_weather 这个函数和参数 location 等于杭州，你的代码去查到“24℃”，再交给模型，模型才说“杭州现在 24 度”。 先把话说全： 官方示例用的是非思考模式，请求里加 extra_body 把 thinking 的 type 设成 disabled。 官方写明：从 DeepSeek-V3.2 开始，思考模式下也能用工具调用，细节看官方 Thinking Mode 一页。 官方写明：Chat Completion 接口不支持在对话中间插入不是模型生成的工具调用，要插的话请改用 Anthropic API 或 Responses API。 strict 模式目前是 Beta，要用测试版地址。 一、先看懂整个流程 官方给的执行流程是四步：用户问杭州天气；模型返回要调用 get_weather，参数是杭州；你的代码真的去调用 get_weather，把结果交给模型；模型用自然语言回答“杭州现在 24 度”。 二、照官方示例做一遍 第一步：去 DeepSeek 开放平台拿一个 API key，电脑装好 Python 和 openai 库。 第二步：创建客户端，base_url 写 DeepSeek 官方接口地址（官方文档第一屏就有），api_key 填你的。 第三步：写 tools 清单。每个工具包含 type 等于 function，再写 name（函数名）、description（描述，告诉模型什么时候用）、parameters（参数）。官方示例的函数叫 get_weather，描述是“获取某地天气，用户须先提供地点”，参数 location 是字符串，并且在 required 里。 第四步：发第一次请求，model 官方示例写 deepseek-flash，把 messages 和 tools 一起传，并加上 thinking 关闭的设置。 第五步：从返回里取 tool_calls 的第一项，先把模型这条消息原样追加进 messages。 第六步：你的代码去执行函数，再追加一条 role 是 tool 的消息，带上刚才的 tool_call_id，content 写结果，官方示例写的是 24℃。 第七步：再发一次请求，这次模型就会用自然语言回答。 三、想要更稳：strict 严格模式 第八步：base_url 改成官方文档里写明的 beta 版接口地址（就是原地址后面加 /beta）。 第九步：每个 function 都加上 strict 等于 true。 第十步：服务器会检查你的 JSON Schema（结构说明），格式不合规或用了不支持的类型，会直接返回错误信息。 官方支持的类型是：object、string、number、integer、boolean、array、enum、anyOf，另外 $ref 和 $def 可以复用和做递归。 四、strict 的硬规矩 对象里所有属性都必须写进 required，并且 additionalProperties 必须设成 false。 字符串可以用 pattern（正则）和 format，官方列出的格式有 email、hostname、ipv4、ipv6、uuid，但不支持 minLength 和 maxLength。 数字支持 const、default、minimum、maximum、exclusiveMinimum、exclusiveMaximum、multipleOf。 数组不支持 minItems 和 maxItems。 五、看到什么算成功 第一次返回的是函数点名，不是答案；第二次返回的才是自然语言答案，内容里有你的函数结果。 六、卡住怎么办 strict 报错：先检查是不是漏写 required 或忘了 additionalProperties 设 false，再检查有没有用到 minLength、maxItems 这类官方不支持的写法。 结论：工具调用不是模型替你干活，而是模型“点名”、你的代码“动手”。想让点名更准，就用 strict。把这条复制链接发给他，下次他说 AI 查不到东西，先让他确认函数是不是自己写了。 你卡在第几步？评论区告诉我。同系列前几篇在我主页。 收藏版：5 步速查 一、tools 里写清函数名、描述、参数 二、第一次请求拿到 tool_calls 三、自己执行函数，回传 role 为 tool 的消息并带 tool_call_id 四、第二次请求拿到自然语言答案 五、想更稳就用 beta 地址加 strict 等于 true 常见坑 3 条 一、以为模型会自己执行函数，其实要你的代码去跑。 二、回传结果忘了带 tool_call_id。 三、strict 里漏了 required 或 additionalProperties 设成 false。 复制即用提示词：我想让模型调用一个叫 你的函数名 的函数，它需要这些参数：写参数。请帮我写出符合 DeepSeek Tool Calls 格式的 tools 清单，每个参数都写 description，并改成 strict 模式需要的写法。 S1哥观点：这篇最狠的地方，是官方把话挑明了：模型不执行函数，只负责点名。很多人以为 AI 在后台自己动手，其实动手的永远是你的代码。 真正的信号是：工具调用的难点不在模型，在你把函数描述写得多清楚。就像派活给新人，说明写得含糊，他再聪明也会点错人。 你现在想让 DeepSeek 调用的是什么，查数据还是发消息？评论区告诉我。 今天送：DeepSeek 工具调用速查卡，评论区第一条直接拿。 参考：DeepSeek 官方 API 文档 Tool Calls（S1哥 整理）

今天，Poki 0.4.0 Beta 正式发布 Poki是世界上最好的Personal iPhone use agent，没有“可能是”，没有“也许是”，并且完全开源。 现在Poki支持一定条件下的后台任务，不抢占前台焦点，优雅丝滑。 在这个版本里，Poki的前端完全重做，用艺术美学的标准去打磨设计，无数设计与巧思，还期待你亲手来体验。 感谢每位帮助Poki推进到这一步的贡献者们，特别致谢@zhehanz 享受吧👇

Beta Updates Surge Engine • Added VLESS Encryption (mlkem768x25519plus), including share-link import and proxy editor controls. • Added VLESS XHTTP transport with stream-one, stream-up and packet-up modes over HTTP/1.1, HTTP/2 or HTTP/3, including VLESS Encryption and Vision. • Reduced memory retained after QUIC downloads on lossy networks. • Improved QUIC upload performance and reduced CPU usage when chained through a proxy's UDP relay. • Fixed established VLESS gRPC, HTTP/2 CONNECT and TrustTunnel connections being incorrectly counted as connection setup failures when they ended with an error. • Fixed WebSocket policies failing to connect when their ALPN list included h2 and the server selected it. • Fixed Tailscale connections staying on a relay after a peer restarted because updated peer information was not applied. Surge iOS • The proxy editor now imports share links for all supported proxy protocols, as well as proxy lines copied from Surge profiles; unsupported settings are reported instead of silently omitted. • Reorganized the proxy editor with an Advanced page that indicates settings in use, and added controls for more protocol, TLS, WireGuard, Tailscale and testing settings. • Fixed Always use CONNECT not being saved for HTTPS policies, and corrected when TLS and Block QUIC settings appear. • Updated list layouts and badges, and added member counts for policy groups in the proxy list. Surge Mac • The proxy editor now imports share links for all supported proxy protocols, as well as proxy lines copied from Surge profiles; unsupported settings are reported instead of silently omitted. • Reorganized the proxy editor with a remembered Show Advanced Settings option and controls for more protocol, TLS, WireGuard and Tailscale settings.

Solana隐私OTC新叙事，聪明钱已经吃到一波行情 solana:65iH8k736QNhuUHm1tt8X7yJXpJ517HPPq8BrVdwring 现价326K，DYOR 不少玩家借助GMGN扫链捕捉到这枚标的， 本金从1.1K一路涨到7.9K，顺利吃下车内涨幅。 跟单钱包： CA：65iH8k736QNhuUHm1tt8X7yJXpJ517HPPq8BrVdwring 叙事亮点 solana:65iH8k736QNhuUHm1tt8X7yJXpJ517HPPq8BrVdwring 对接Solana隐私OTC，依托Helius密封交易。 交易内容仅买卖双方可见，采用全额成交或直接作废机制。 充提记录提前标记可查，配套私密发射平台还在Beta，标识为红色双环。 不同于纯玩梗Meme，它有真实产品叙事，切中大资金匿名大宗交易需求。 项目尚早期，波动极强，链上信号仅作参考。 #Meme币#

Introducing Claude Meetings: add Claude to your team’s video call and it builds docs, whiteboards, and other artifacts with you while you’re still talking. Starting to roll out in beta on Team and Enterprise plans.

Self-hosted Claude Managed Agents is now in private beta. You can host the agent harness, sandboxes, and session history, in your own cloud or on-premises, and choose where requests to Claude are sent.

27.3 là số hiệu bản iOS mà Apple vừa đẩy bản beta, nhưng thứ đáng chú ý bên trong lại là một tính năng tiếng Việt mà người dùng nước ngoài còn chưa có. Siri tích hợp AI bằng tiếng Việt đã xuất hiện trên iOS 27.3 Beta. Đây là lần đầu trợ lý ảo này xử lý ngôn ngữ của chúng ta ở tầng mô hình AI, không chỉ đọc – hiểu lệnh đơn giản như các bản trước. Ba điểm: - Bản beta nghĩa là chưa dùng được trên máy chính; ai cài sớm nên chờ bản phát hành chính thức thay vì đánh đổi máy đang dùng hằng ngày. - Tính năng nằm trong iOS 27.3, không phải bản lớn 27.0 — Apple thường gom các nâng cấp ngôn ngữ vào bản .x, nên đừng chờ nó ở bản đầu. - Tiếng Việt có mặt cùng đợt với bản thử nghiệm, tức là ta không còn xếp sau các thị trường lớn như trước đây. Góc nhìn: Nhiều người sẽ đọc tin này như một chi tiết vui rồi bỏ qua. Sai. Cái đáng quan tâm không phải Siri nói tiếng Việt, mà là mô hình AI của Apple đã được huấn luyện đủ tốt trên dữ liệu tiếng Việt để chạy ngay trên thiết bị. Điều đó đặt ra chuẩn mới cho mọi trợ lý nội địa: người dùng sẽ so sánh độ hiểu tiếng Việt của bạn với một mô hình toàn cầu chạy offline, miễn phí, có sẵn trong máy. Đừng tự hào vì "đã có AI tiếng Việt" nữa — hãy tự hỏi mình hiểu tiếng Việt hơn nó ở đâu. Điểm đáng lưu: Lưu lại mốc iOS 27.3 để đối chiếu khi đánh giá các trợ lý AI tiếng Việt khác, vì đây sẽ là chuẩn so sánh mặc định trên iPhone. Bạn nghĩ trợ lý AI nội địa cần giỏi hơn Siri ở điểm nào để bạn chịu đổi? #IOS27# #Siri# #TiengViet# #Apple# #AITiengViet# #Beta# #TroLyAo# #OnDevice# #VipZone# #nguyenchitrongnghia#

Huge AI announcements from OpenAI, Anthropic, Meta, and Google in the past 48 hours. Here's everything going on in AI right now: 1. The authors of AI 2027 just moved their timelines up. They now expect AI on par with the best human AI researchers to arrive in 2027, after METR estimated Anthropic is improving about 2x as fast thanks to AI. Daniel Kokotajlo gives it a 50-50 chance by May 2027 and says he's "scared, sad, and angry." 2. Anthropic opened the investor pitch for its IPO, with shares likely trading as soon as Thursday next week. An updated filing also says it has now crossed its own safety line for AI-driven progress. 3. OpenAI launched Businesses in ChatGPT, a beta hub where brands can set up AI agents for shoppers, claim a verified profile, and track how often ChatGPT mentions them. Paid ads can point users to those agents too. This is like the start of SEO for chatbots. 4. Anthropic rolled out Claude Sheets and Whiteboards in beta, made Claude Data generally available, and announced Claude Meetings, an assistant that sits in on your video calls. Add those to Slides, Design, and Docs. Seems like Claude is slowly rebuilding the entire office suite. 5. Anthropic also released Claude Fable 5.2 and Mythos 5.2 yesterday, with Fable debuting at #1# on Artificial Analysis' Intelligence Index, 5 points ahead of Google's Gemini 4 Carbon. It's also 20% cheaper and up to 30% faster than 5.1. Google lost the top spot before Carbon even shipped (!) 6. Meta released Muse Ember, its smallest model, built for high-volume agent work. It ties Claude Haiku 5.5 on the Intelligence Index at roughly one-third of the cost per task ($0.14 vs. $0.41 on an average test). Meta shipped its first Muse model in April and now has an answer for every tier OpenAI and Anthropic sell. 7. Google announced 2 new AI chips coming next year: the TPU 8tx, which keeps data encrypted even while a model is working on it, and the 8i Max, which joins 2 chips into one for agents that need to hold an entire codebase in view. Google already has nearly 100 TPU customers (including Anthropic and Apple) and every available chip is spoken for. 8. Nvidia's top lawyer reportedly emailed agents in August 2025 while they were investigating whether Singapore's Megaspeed smuggled its chips to China. The Commerce Department then halted the case and handed it to the Justice Department. Not a great week for Nvidia. 9. Adobe signed a multi-year deal with Disney to build custom AI models trained on Disney's characters and visual styles, with work already underway for theme parks, film, and ESPN. Pretty interesting to see one of the most protective IP owners in entertainment is now training its own AI models. 10. OpenAI acquired Odessia, a months-old AI trip-planning startup from Sonder founder Francis Davidson, who is joining OpenAI to work on travel. Between this and #3#, ChatGPT is coming for shopping and travel. 11. France unveiled the Paris Call for AI Safety and Security, with OpenAI, Anthropic, and Mistral committing to build emergency off switches into their most advanced models. Interesting timing given #1# on this list. Daily reminder that this is the worst AI will ever be.