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

D
DataBreaches.Net
IT之家
IT之家
The Cloudflare Blog
Apple Machine Learning Research
Apple Machine Learning Research
WordPress大学
WordPress大学
N
Netflix TechBlog - Medium
阮一峰的网络日志
阮一峰的网络日志
P
Proofpoint News Feed
L
LangChain Blog
博客园 - Franky
美团技术团队
J
Java Code Geeks
Microsoft Security Blog
Microsoft Security Blog
博客园 - 叶小钗
小众软件
小众软件
Y
Y Combinator Blog
B
Blog RSS Feed
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
D
Docker
Hugging Face - Blog
Hugging Face - Blog
Jina AI
Jina AI
罗磊的独立博客
大猫的无限游戏
大猫的无限游戏
Vercel News
Vercel News

Hacker News: Front Page

SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Ancient DNA reveals pervasive directional selection across West Eurasia [pdf] AI cybersecurity is not proof of work Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. A Better Ludum Dare; Or, How to Ruin a Legacy GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent Codex Hacked a Samsung TV
How to Passive-Aggressively Shame People Who Use LLMs Sel...
Force the author to engage with their slop · 2026-06-24 · via Hacker News: Front Page
By Josh Moody Published:

Too many slop grenades these days. LLMs are cool and all, but does every Slack message need to be a bulleted list where the first sentence of each item is bold?

I recently read one too many blog posts with the phrase, “it’s not X, it’s Y” as a one-line paragraph and finally snapped. It is now my life’s mission to purge selfish LLM usage from the internet.

Define “selfish”

Selfish LLM usage: A situation in which someone uses an LLM to save their own time at the expense of other people’s time, resulting in a net productivity loss.

Opinions vary on the usefulness of LLMs, but hopefully we can all agree that using them selfishly is cringe.

Nevertheless, people use AI selfishly all the time. This is not surprising: many people are under heavy time pressure and some people aren’t even aware they’re doing it. But the world would be a better place if people stopped.

But it’s not polite to call someone out for blatantly using AI when their brain would have sufficed. The trick is subtlety. I propose a method of subtly shaming people with plausible deniability:

  1. Secretly make fun of people via emojis
  2. Other things (less fun)

Dog whistle emojis

React to suspected AI content with an emoji that only makes sense to likeminded people. Here are some ideas with variously intense connotations:

Passive-aggressive emojis

Respond to selfish AI-generated content with these emojis if you want to keep a low profile while secretly making fun of the author.

EmojiEmoji nameMeaning
🏺Amphora (Ancient Greek vase)I randomly wanted to remind you of the incredible art humanity produced with their bare hands thousands of years ago
📎PaperclipClippy
Heavy minus signEm dash
〰️Wavy dashEm dash (less obvious)
✍️Writing handWow this is really good writing that you definitely wrote yourself with your human brain and human hands
🎰Slot machineYou kept prompting the LLM until your post was almost coherent
🧨FirecrackerSlop grenade
🦾Mechanical armVery cool but the machine gets credit, not you
🧱Brick WallWow, that’s a lot of text
🐋WhaleWow, that’s a LOT of text
🔄♐Counterclockwise arrows button + SagittariusReverse centaur
💙Blue heartCorporate AI slop

Fully aggressive emojis

If you don’t mind being fired and/or punched in the face, respond to slop with the following emojis:

EmojiEmoji nameMeaning
🩼CrutchYou aren’t capable of writing even the most basic of messages without help
🫟SplatSlop. Use with caution (potential sexual harassment)
🪣BucketFor putting the slop in
🚱Non-potable waterYou just vaporized a small country’s water supply
🚷No pedestriansNo humans were involved in the making of this content
📜ScrollBIG message
🦜ParrotStochastic parrot
SparkleThe universal symbol for AI content
☣️BiohazardThis content is harmful to human existence

Positive emojis

Reward human effort with compliment emojis:

EmojiEmoji nameMeaning
🧠BrainA human brain was used
🎨PaletteFine art
🍞BreadHomemade content, smells nice
💚Green heartI love this human content (certified organic™)
💪Flexed armThe opposite of 🦾, human effort à la John Henry
🫆FingerprintEvidence of human
🏺Amphora (Ancient Greek vase)Authentic human art that will stand for millennia

Yes, the amphora emoji is also on the passive-aggressive list because irony, but obviously it works for human content too. By reacting to both kinds of content with it, you gain plausible deniability while still subliminally encouraging people to think about the importance of humanity and artistic expression.

Emojis don’t cut deep enough

I admit the dog whistle emoji thing is at least 20% sarcastic.

If you want to be less culty, probably the most neutral and unambiguous emoji is robot face 🤖.

Semi-jokes aside, here are some better things you can do to shape the world to your liking:

Positive reinforcement

If someone sends rough (but clearly human) thoughts, engage with it positively. Be extra nice and chill.

Ask genuine questions that force the slop author to reflect on what they produced and answer directly from their human brain. The questions should be short and simple. Match the author’s effort level.

Slauthor?

  • How did you come up with this idea?
  • I really liked [interesting detail], how did you learn to [verb] like that?

Epmathy

I spelled this heading exactly as intended.

Keep in mind that the average person over-relying on AI for common tasks is potentially under immense time pressure and/or sufficiently out of their depth that they lack the ability to distinguish good from bad content. They almost certainly are not using AI out of malice.

Turns out the average person does not like slop, so it’s not hard to ringlead your friends into improving the situation.

For example, my software engineering team at work has been fatigued by AI writing cluttering up our pull requests, so we added a temporary PR checklist to help us get in the habit of making the code easier to review:

## PR Checklist

<!-- All PRs -->

- [ ] Description is human-written, concise, and useful

<!-- Medium complexity PRs also include -->

- [ ] Screenshot/video attached for frontend changes, or real
      examples of backend behavior
- [ ] Code comments on tricky parts are human-written and
      concise (no AI wall of text)
- [ ] Tests verify important functionality and are
      straightforward (not brittle, noisy, implementation-quirk
      tests)

<!-- Large / risky PRs also include -->

- [ ] Assumptions, weak points, follow up, and open questions
      called out
- [ ] GitHub comments signpost areas most important to the
      reviewer
- [ ] Scope is as narrow as it reasonably can be (or noted why
      it isn't split)

This also led to me creating a comment guard script for Claude Code, which prevents comments longer than two lines long. Highly recommend.

Conclusion

When discussing this post please include 🏺