惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

美团技术团队
博客园_首页
量子位
F
Fortinet All Blogs
L
LangChain Blog
The Cloudflare Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
大猫的无限游戏
大猫的无限游戏
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V
Visual Studio Blog
Blog — PlanetScale
Blog — PlanetScale
博客园 - 叶小钗
Apple Machine Learning Research
Apple Machine Learning Research
博客园 - Franky
G
Google Developers Blog
阮一峰的网络日志
阮一峰的网络日志
T
Tailwind CSS Blog
WordPress大学
WordPress大学
宝玉的分享
宝玉的分享
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
有赞技术团队
有赞技术团队
U
Unit 42
IT之家
IT之家

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
The AI-x Scale For Written Content [Notes from Zeropolis]
unethical_ba · 2026-04-28 · via Hacker News - Newest: "AI"

:!: This is a draft.

This is a proposed system for ranking use of AI in in articles and documentation. One can use it on their own work, and Internet commenters can use it as shorthand to debate the level of Slop an article contains.

There is a place for AI to help build good documentation, and some people use it to polish their own writing. But many people don't like it when they realize they're reading AI-generated content. It's too easy to AI-generate coherent content that looks useful, but took zero effort and adds nothing new to a conversation.

That's not helpful — it's genuinely frustrating. (Joking)

So for the sake of online bitching and moaning about AI-generated content, I propose the following system to quickly label the level of perceived AI use in blogs and docs. If one wants, they could even use this system when publishing, to disclose their use of AI in good faith.

The Scale

Label Description Example
0 No AI use whatsoever Human-written from scratch. Not expected for tech docs. Usually used for prose.
1 AI used for translation Direct translation of AI-0 content
2H AI used for (H)elp research, but not for written content You did some digging through AI, and synthesized useful content
2R AI used to (R)efine source writings of the same size The author wrote the content, but passed it through AI because they don't like their own writing
5 AI used to generated most or all content from prompts Pure slop - Articles crafted almost entirely from a basic prompt.

AI-3 and AI-4 are reserved.

The listing roughly correlates to the tolerance people have for the use of AI. AI-2 is completely reasonable for modern tech writing, in my opinion. People who struggle with prose may step it up to AI-3. Beyond that, wider audiences may resent wasting their time on the kind of thing they could have easily asked AI themselves.