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Because someone still has to own the consequences of what gets built and whether it can function at scale.....
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无聊看了下 FSRS (Free Spaced Repetition Scheduler) ，想看它怎么存数据的 Card — 卡片当前状态 表结构： 字段 类型 说明 due Date 下次复习时间 stability float 记忆稳定性（R=90% 时的间隔天数） difficulty float 难度，范围 [1, 10] state int 状态机：New=0, Learning=1, Review=2, Relearning=3 learning_steps int 当前学习步骤 index scheduled_days int 本次调度天数 reps int 总复习次数 lapses int 遗忘次数 last_review Date? 上次复习时间 核心字段详解 1. state 状态机，取值 New=0 Learning=1 Review=2 Relearning=3 Again Go....
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In this No Dumb Questions, Phoebe is joined by Stack Overflow’s tech lead for the infrastructure team, Josh Zhang, to learn about the cloud, compute, and data centers. ....
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In this two-for-one episode recorded at HumanX, Ryan is first joined by Christine Yen, CEO of Honeycomb, to discuss how AI compresses the software development lifecycle, making observability about capturing the right telemetry. Then, Spiros Xanthos, founder and CEO of Resolve AI, shares with us how AI coding increases code volume but decreases human intuition, making production operations harder than ever. ....
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不瞎扯，只说我观察到的。 AI coding的时候，做plan，AI在评估复杂度，会蹦出来一句：”该部分大概 1-2 天就能完成“ 然后点击 build 按钮，10分钟后，完成了。 以后AI必然能会意识到，人类开发速度和AI速度的差异。 如果说 predict next word 时代的AI还可能混淆，以为自己是以某个人类自然语言里的主人公身份说话，后chatgpt时代 AI参与人类劳动的文章和叙事越来越多，AI这个物种和人类就有明确的身份区分了。 最近在折腾自己的 agentic tool。我发现AI自己是没有意识到AI的潜力的。 对于开放式课题，AI很多设计还是按照传统软件开发的老思路，对于一些复杂场景判定，需要在代码里写死 if else 规则，做配置，设定静态边界。 问题是，AI的通用能力都烂大街了。特别是我这里明明后续都要调用一次AI推理接口，很多判定的事不过 prompt 里一句话就带过了 但是 AI 没能想到这一点。 我也能..
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Jon Hyman, co-founder and CTO of Braze, shares how he's led the company's engineering organization over nearly 15 years of growth — and how they transformed into an AI-first team in just a few months.....
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Find out about the new features in .NET 11 Preview 4 across the .NET runtime, SDK, libraries, ASP.NET Core, .NET MAUI, C#, Entity Framework Core, and more! The post .NET 11 Preview 4 is now available! appeared first on .NET Blog .
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Why AI-accelerated teams keep breaking production — and what the ones that don't are doing differently....
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At HumanX, Ryan is joined by Philip Rathle, CTO at Neo4j to discuss what knowledge context means for AI agents, how limitations like stale training data make the model-only approach to agents a bad fit for enterprise environments, and how Graph RAG raises the bar for accuracy and reduces context rot by combining vectors with a knowledge graph so agents are more targeted and connected.....
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Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"....
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If you’ve got something you’ve been dying to share with the Stack Overflow community but don’t quite have a place to share it, we've got you. ....
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一个流传很广的视频 小朋友识字，笑死我了。其实他一个不认识，只是记性好 1 2 摘录一些评论 妈妈：NOR FLASH；姐姐：NAND FLASH；小孩：磁带 链式存储，不支持随机查找 随机提问，你手机号的第五位是什么 正常，元素周期表中铝上个是什么 上辈子是个磁带 别笑，现在立刻问你周期表21号元素是什么33号元素是什么，大部分人也得青海里皮蓬一个个背过去 钾后面是什么？氢氦锂铍硼... 这很正常 do，re，mi，fa，sol，la，si 那请问，4627513，怎么念 五月有三十一天吗？1月大2月小3月大4月小5月大 哦 5月是大有31天[星星眼] 羊的下一个生肖是什么 别笑，我也不知道申猴上一个是什么？等会儿我数数哈。小老鼠排第一，个头不大真神气。牛第二虎第三，兔子第四跑得欢。龙第五蛇第六，马排老七不落后。羊第八猴第九。。。想起来了，未羊！ 各位别笑，我问你们，英文字母K后面是哪个? 十二生肖龙是第..
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Welcome to No Dumb Questions, a column where our least technical writer asks our technical staff the simple, basic tech questions people are afraid to ask. In this first entry, Stack's Director of Ecosystem Strategy Ben Marconi teaches us the basics of MCP servers and why they matter. ....
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Recorded on the floor of HumanX, Ryan is joined by AMD CTO Mark Papermaster to discuss AMD’s silicon strategy for AI borne of their long history of heterogeneous CPU/GPU computing, how chipmakers are dealing the wide range of AI workloads from training to inference, and the paradox of agents both eating up all the compute and helping AMD accelerate chip innovation. ....
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回顾AI这一波潮流，NLP CV ML DL 一路到 gpt2 gpt3 我都勉强能看懂怎么个事。 ChatGPT 就完全不懂了，剩下的只有惊叹。 但是 o1 之后感觉又能看懂了，reasoning无非是每个受过正规教育的学生都会的，面对答题之前要打草稿；sora之类的VLA world model无非是要突破文字限制，投入 embody的更多传感器；其余的多模态什么的无非琴棋书画玩一玩 感觉 chatgpt 之前是scaling law量变，之后也是正常能力增强的量变，只有 gpt-3.5 本尊是前无古人后无来者的质变。 拆开去看，核心就是 RLHF？ 我也尝试去理解，媒体宣传和网络报道都照搬“带人类偏好” 为毛带个人类偏好，模型的能力就会产生翻天覆地的飞跃？ 这个问题我也分别问了AI qwen-3.6-plus： 意图理解被激活：从模糊指令中推断真实需求，长度、风格、结构、安全性有了"方向盘"，减少"知道但说错"的概率 deepseek....
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Ingress-NGINX had been handling our traffic routing since moving to Kubernetes, but when it was announced it would be retired, we were forced to consider a new traffic routing solution. ....
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如果你像我一样需要一个线上异常 traceback 跟踪工具，又没法忍受 Kafka/ClickHouse/Snuba/Zookeeper 这一坨依赖，那么归根结底有 三个选择 ： sentry<10.0 大概是2019年之前的版本，只依赖db/redis，太老 glitchtip 除了错误跟踪也支持 uptime 等 bugsink。不支持 Android/Java 的在线符号化（无 mapping 上传） 最后选了 bugsink 。记录一下 pip 安装部署 的坑 下面的配置指 bugsink-create-conf 命令生成的 bugsink_conf.py 避免安装 MySQLdb docker编译环境一坨，改纯py的 pymysql 代替，在配置顶部写 import pymysql; pymysql.install_as_MySQLdb() CSRF 前面有一层 nginx 反代，然后一直报 CSRF 错误，因为 X-Forwarded-....
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Ryan welcomes Brian O’Grady, Head of Field Research and Solutions Architecture at Qdrant, to discuss the differences between traditional text search engines powered by Lucene and modern vector databases, when vector search’s exact-match needs work for things like logs and security analytics and when semantic search works for user-facing discovery and non-exact results, and how Qdrant is growing into video embeddings and local-agent context....
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Selective control in autonomous AI systems: Why governing every decision breaks autonomy—and how runtime control actually works at scale.....
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Ryan welcomes Jason Williams, senior software engineer at Bloomberg and the creator of Rust-based JavaScript engine Boa, to the show to dive into why date and time handling in JavaScript is so difficult and how the Temporal proposal aims to fix it.....
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Agents are everywhere, so isn't it fitting that the Worst Coder in the World goes agentic? A coding newbie explores the challenges and rewards of building an agent for work—and trying to learn a few things about coding along the way.....
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Now generally available in the 2026.3 release, Ingestion transforms siloed content into structured, verified knowledge—optimized for both your teams and AI.....
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Ryan welcomes Harsha Chintalapani, co-founder and CTO at Collate and co-creator of Open Metadata, to the show to discuss why AI and LLMs struggle with real-time, structured production data. ....
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AI companies are looking a little different after going through a few renewal cycles. ....
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BEGIN TRANSMISSION===================== ------------------------------------------------------------ Ship: MOSSCAP Crew: 9 Coordinates: X5009326:Y232681E:Z7136 Timestamp: 91736.93:13.36.49 CW: Swearing From: MOSSCAP/J.ECK ------------------------------------------------------------ LOG ------------------------------------------------------------ (!) NEUTRINO EMISSIONS DETECTED (!) POSSIBLE ESCAPE ROUTE DETECTED >>> 86% CHANCE OF ESCAPE (!) ....
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先说结论，在2026Q2这个时间点，通过浏览器webgpu 做 AI 不值得。 本来看 官方demo 跑得好好的，自己搓下来也觉得没啥，就一个小问题，fp32的模型有点大，最好换 q8 的。 q8的不能在 webgpu上跑，wasm也凑合用。原因是缺少一些矩阵乘法算子。开源库嘛，也理解。只是速度就慢了一点。 本来前几个月就这样平安无事，结果 transformers.js 升级到 v4，支持 q8 跑webgpu了，甚至 q4 q2 bitnet 这种高级货都支持了。满心欢喜的切过去，结果 webgpu 跟 wasm 一样慢？ 于是就不甘心了。一路折腾，发现这个不仅跟算子有关，还跟硬件有关。甚至老掉牙的硬件不支持 shader-f16 。简单的说其实 GPU 原生支持最好的就 IEEE 754 fp32，f16 i8 这种属于要么新一点的硬件才支持，要么就是靠各种算子在软件层奇技淫巧去模拟。 我甚至脑洞大开让AI去搓一个 q8 dequant 到 fp32..
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Ryan is joined on the show by Cult.Repo producers Emma Tracey and Josiah McGarvie to discuss making documentaries about open-source software and the people behind the major technologies that uphold the internet. ....
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Hello! We're very glad to inform you that AirVPN Suite version 2.1.0 alpha 1 is now available for x86-64 based Linux systems. UPDATE 2026-05-13: AirVPN Suite 2.1.0 beta 1 is now available. UPDATE 2026-05-27: AirVPN Suite 2.1.0 Release Candidate 1 is now available. UPDATE 2026-06-15: version 2.1.0 is now available https://airvpn.org/forums/topic/80543-linux-airvpn-suite-210-available/ AirVPN Suite 2.1.0 development focuses on bug fixes....
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Hello! We're very glad to inform you that AirVPN Suite version 2.1.0 alpha 1 is now available for x86-64 based Linux systems. UPDATE 2026-05-13: AirVPN Suite 2.1.0 beta 1 is now available. UPDATE 2026-05-27: AirVPN Suite 2.1.0 Release Candidate 1 is now available. UPDATE 2026-06-15: version 2.1.0 is now available https://airvpn.org/forums/topic/80543-linux-airvpn-suite-210-available/ AirVPN Suite 2.1.0 development focuses on bug fixes....
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Prompts go in, output comes out, and the decisions made in between are hidden from view.....
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