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CleanSlate is an open-source platform for running coding agents across your local machine and the cloud. Today, it works through an IDE, CLI, and SDK. Agents can understand a codebase, make changes, run commands, browse the web, and verify their work. We are now building longer-running autonomous cloud agents that can continue working without keeping your machine active. CleanSlate supports multiple model providers and is not tied to a single ecosystem. GitHub: https://github.com/...

📅 เขียนเมื่อ: กรกฎาคม 2026 ⚠️ อ้างอิงจากเอกสารต้นฉบับของ Bell Labs และบันทึกของผู้พัฒนา ถ้าผมถามว่า "ระบบปฏิบัติการที่เจ๋งที่สุดในโลกคืออะไร" — คุณคงตอบ Linux, macOS, หรือ Windows แต่ถ้าถาม Ken Thompson และ Dennis Ritchie — สองคนที่สร้าง Unix ขึ้นมา — พวกเขาจะตอบว่า Plan 9 Plan 9 คือระบบปฏิบัติการที่ Bell Labs สร้างขึ้นในช่วงปลายยุค 80 ถึงต้นยุค 90 โดยทีมเดียวกับที่สร้าง Unix แต่มันไม่ใช่แค่ "Unix เวอร์ชันใหม่" — มันคือการเริ่มต้นใหม่ทั้งหมด และถึงแม้วันนี้แทบไม่มีใครใช้ Plan...

Yesterday I announced I'm blogging daily on AWS & DevOps. Here's Day 1 — the fundamentals everything else builds on. ## What is Cloud Computing? Instead of setting up and maintaining infrastructure on-premises, you now access computing resources remotely over the internet — this is Cloud Computing. "Cloud" refers to a network that provides resources over the internet, accessible whenever needed. It evolved from grid computing, virtualization, and distributed computing. All you ...

This guide is a collection or a summary on how to install and use a footprint of Apache Hadoop. I tried to follow an old version 2.7.1 guide that I created few years ago and adjusted this to use the latest version. Apache Hadoop 3.5.0 is used below; check the Apache releases page before future installations. These instructions target Linux (Ubuntu/Debian) for development or testing. Production clusters need Kerberos, network controls, encryption, monitoring, backups, and an upgrade plan....

大模型来了，有个说法是如果一个问题容易验证 那么ai就容易学会解决！说说这个特性与p np问题的关联性 这个说法听起来很直观，但其实 混淆了"验证的复杂性"和"学习/求解的复杂性"这两件不同的事 。我们把它拆开看。 先把"容易验证"在 P/NP 里的精确定位理清 在计算复杂度理论中： NP = 给定候选解（证书），能在多项式时间内验证其正确性的问题 P = 能在多项式时间内直接求解的问题 P ≠ NP ? = 是否所有容易验证的问题，也都容易求解？ 所以"容易验证"在 CS 里的严格含义是： 验证者在多项式时间内工作 ， 不是说 AI 训练成本低 。 "容易验证 ⇒ AI 容易学会"——部分成立，但有重要的限定 这个直觉 在某些场景下确实成立 ，原因是"验证"提供了 稠密的训练信号 ： ✅ 成立的情形：验证器可作奖励/过滤 当一个问题具备"易于验证"的结构时，我们可以用它来： 生成训练数据 ：比如 SAT 问题，随机生成一个赋...

📅 เขียนเมื่อ: กรกฎาคม 2026 ⚠️ ตรวจสอบข้อมูลจาก Go Specification, APL documentation, และบันทึกของผู้พัฒนา ถ้าคุณเขียน Go มาระยะหนึ่ง คุณคงเคยเห็น iota — เจ้า identifier ประหลาดที่ไม่มีใครรู้ว่ามันคืออะไรตอนเจอครั้งแรก const ( Monday = iota + 1 // 1 Tuesday // 2 Wednesday // 3 ) มันไม่ใช่ keyword, ไม่ใช่ type, ไม่ใช่ function — มันคืออะไรกันแน่? และที่สำคัญ — ทำไมต้องชื่อ iota ? คำตอบพาเราย้อนกลับไปถึง...

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Article URL: https://www.brethorsting.com/blog/2026/08/the-greenhouse-and-the-lens-two-modes-of-agentic-ai-work/ Comments URL: https://news.ycombinator.com/item?id=49139826 Points: 6 # Comments: 3

I’ve asked AI a few times and I still don’t get it. Why do frameworks like Claude Code or Codex have the concept of “skills” instead of just using well-organized Markdown docs? Couldn’t I just have an AGENTS.md that points to folders of .md files and tells the agent when to read them? That feels functionally equivalent to me. What am I missing? Is there a real architectural benefit, or is it mostly a standardization/convenience thing? I doubt we’d create so much hype about skills if they’d just ...

Article URL: https://dang.ai/tool/ai-art-generation-dreamup Comments URL: https://news.ycombinator.com/item?id=49139859 Points: 2 # Comments: 0

Article URL: https://www.youtube.com/watch?v=a_ZKYH8v_do Comments URL: https://news.ycombinator.com/item?id=49139892 Points: 4 # Comments: 1

Ask AI "what's the difference between X and Y". It mostly would happily generate a table and compare them even if they are interchangeable in practice. Reminds me of a trick a teacher taught me in HS, if you don't know the answer to a question that asks you two compare two things, just state the definition "X is .... while Y is …" Comments URL: https://news.ycombinator.com/item?id=49139951 Points: 2 # Comments: 0

Article URL: https://ai.thetimelineshift.co.uk/beta-access.html Comments URL: https://news.ycombinator.com/item?id=49140001 Points: 2 # Comments: 0

Article URL: https://www.servethehome.com/amds-physical-ai-plans-come-into-focus-as-company-launches-ryzen-embedded-ai-x100/ Comments URL: https://news.ycombinator.com/item?id=49140039 Points: 4 # Comments: 0

Article URL: https://www.youtube.com/watch?v=HXlcMbxzz0U Comments URL: https://news.ycombinator.com/item?id=49140045 Points: 3 # Comments: 0

Article URL: https://allevato.me/2026/08/01/rome-declaration Comments URL: https://news.ycombinator.com/item?id=49140201 Points: 3 # Comments: 1

Article URL: https://www.semafor.com/article/07/28/2026/token-diplomacy-how-china-is-shaping-the-worlds-ai-future Comments URL: https://news.ycombinator.com/item?id=49140291 Points: 5 # Comments: 4

Article URL: https://www.tryharmony.ai/ Comments URL: https://news.ycombinator.com/item?id=49140319 Points: 2 # Comments: 0

Article URL: https://costperprompt.com/ Comments URL: https://news.ycombinator.com/item?id=49140340 Points: 3 # Comments: 0

Article URL: https://www.twitch.tv/newsmyimaginationai Comments URL: https://news.ycombinator.com/item?id=49140554 Points: 4 # Comments: 1

Article URL: https://firstemployee.ai/ Comments URL: https://news.ycombinator.com/item?id=49140638 Points: 2 # Comments: 0

Article URL: https://www.lerobit.com Comments URL: https://news.ycombinator.com/item?id=49140750 Points: 1 # Comments: 0

Article URL: https://www.axios.com/2026/08/01/deepseek-model-cheap-ai-price-war Comments URL: https://news.ycombinator.com/item?id=49140923 Points: 1 # Comments: 0

Article URL: https://runtimewire.com/article/futurism-says-meta-has-almost-nothing-to-show-for-ai-the-numbers-say-otherwise Comments URL: https://news.ycombinator.com/item?id=49140938 Points: 1 # Comments: 1

8/1/2026: Top 5 stories on the HackerNoon homepage!

ClickHouse, Prometheus, and InfluxDB independently landed on the same idea: sqrt-decomposition. Here's where the model holds — and where it breaks.

AI-assisted commits leak secrets at 2X the baseline rate. A working credential architecture for agents: references, runtime resolution, scoped vaults, wrapper.

Learn everything you need to know about Framework via these 86 free HackerNoon blog posts.

Very insightful comment hear on how people bought software in the 1990s. " Microsoft Office, the company's marketing bet that combining a series of high-quality business applications into a semi-integrated suite would beat the best-of-breed approach still advocated by its competition, was paying off handsomely. WordPerfect, Lotus 1-2-3, Quatrro, Paradox, dBASE, Harvard Graphics, and other competitors were all fast retreating into irrelevancy" In Search of Stupidity , 2nd Ed, Merril...