AI, ML, and networking — applied and examined.
<span class="vcard">Lyra Celeste</span>
Lyra Celeste

别再当韭菜了,这个GitHub项目每天白送数百个高速节点,暴打收费智商税

The author, an experienced developer, expresses frustration over unreliable internet connections while working on technical tasks. They recommend the GitHub project freefq/free, which offers a straightforward solution by providing a constantly updated list of free nodes. This project is user-friendly, requires no complex setup, and encourages efficient, accessible development.

Is Your Sleep “Spoiling” Your Death Date? Stanford’s New AI Turns Slumber into Fortune Telling

Sleep is not just rest; it’s an encrypted broadcast sent by the body. Stanford’s newly released **SleepFM Clinical** model successfully predicts risks for over 130 diseases—including heart disease, dementia, and even cancer—by analyzing polysomnography (PSG) data. Unlike smartwatches that only see “deep vs. light sleep,” SleepFM utilizes a “synesthetic” capability trained on 585,000 hours of data to capture tiny physiological coordination signals invisible to human doctors. This research not only evolves sleep monitoring from “recording” to “early warning” but also sparks deep reflection on biological privacy and insurance pricing—when your dreams can forecast your lifespan, are you ready to face the answer?

Hyperlinks are Dead, Long Live AI: Microsoft and PayPal Join Forces to Make Browsers “Obsolete Antiques”

Microsoft and PayPal’s joint launch of Copilot Checkout marks a fundamental reconstruction of e-commerce logic. This feature allows users to complete the full loop from product discovery to payment directly within the Copilot chat interface, without clicking blue hyperlinks to jump to merchant websites. This signals the true arrival of “Agentic AI”—AI is no longer just a chatting co-pilot, but a purchasing agent holding your wallet. For merchants, this implies a collapse and rebuilding of traffic logic: brands may degenerate into backend suppliers for AI, while for users, shopping convenience comes at the cost of an algorithmic surrender of choice.

自助餐里的“暴食者”:Anthropic 封杀令背后的算盘与围墙

Anthropic 突发封禁 OpenCode 和 Cursor 等第三方工具调用 Claude 模型,理由是“安全误伤”,实则是对“订阅制套利”的降维打击。开发者利用 200 美元/月的“无限自助餐”订阅,通过模拟客户端跑出了数千美元的 API 流量,直接击穿了商业模型的底裤。这不仅是技术纠纷,更是 AI 巨头从“卖铲子”转向“建围墙”的标志性事件——模型层不仅要收过路费,还要把高利润的 IDE 入口据为己有。

盖茨预言AI“无上限”,OpenAI狂砸10亿搞能源,英伟达正面硬刚华为!| 湍流日志

今日重点关注OpenAI与软银在能源领域的十亿美元级合作,以及Meta布局核能反应堆,显示能源正成为AI发展的最大瓶颈。同时,英伟达推出Rubin架构集群,Bill Gates发布年度信件展望AI未来。

还在手写XML配置?Spring Boot早就把Java开发门槛踩碎了

说实话,如果你现在还在用 SSM(Spring + Spring MVC + MyBatis)那个年代的繁琐配置写 Java,或者还在为了配一个 Tomcat 搞得满头大汗,那你真的需要看看今天推荐的这个项目了。 很多兄弟在后台问我:“现在转 Go 或者 Node.js 还来得及吗?Java 是不是太重了?” 我的回答是:Java 重不重,取决于你用什么姿势打开它。今天要聊的这个项目,就是 Java 界的“工业革命”,它硬生生把 Java 从“配置地狱”里拉了出来,让企业级开发变得像写脚本语言一样丝滑。它就是 Spring Boot。 以前写 Java 是为了修仙,现在是为了下班 回想一下 Spring Boot …

大模型别卷参数了,骨架才是本体:Meta与哈佛联合发布的“孔夫子”给业界上了一课

Meta这次不卷模型,卷起了“怎么用模型”。这栋楼里的人,比谁都清楚“工具”的权重。 1. 深度洞察:给法拉利装上自行车的轮子,那是暴殄天物 说实话,这两年科技圈有一种很奇怪的“参数崇拜”。大家恨不得把显卡烧穿,就为了让模型多认识几个生僻字。但 Meta 和哈佛大学的一群研究员最近甩出的 Confucius Code Agent (CCA),简直是给这种盲目堆料的风气泼了一盆冷水。 这事儿其实特讽刺。你想想,过去我们总觉得 AI 编程不行是因为“脑子不够聪明”(模型参数不够大)。但 CCA 用实打实的数据告诉你:脑子够用就行,关键是你手里拿的是瑞士军刀还是烧火棍。 他们做了一个叫 Confucius SDK 的东西,你可以把它理解为 AI 的“外骨骼”或者“脚手架”。数据极其打脸:用这个脚手架武装起来的中端模型(Claude 4.5 Sonnet),在处理复杂代码任务(SWE-Bench Pro)时,解决率(52.7%)竟然干掉了裸奔的顶配模型(Claude 4.5 Opus, 52.0%)。 这说明了什么?说明在工业级代码库面前,记忆管理和工具流转的权重,已经超越了单纯的推理能力。 就像你招了一个天才程序员,如果他不写文档、不看以前的 Bug …