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

T
Troy Hunt's Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Threat Research - Cisco Blogs
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Schneier on Security
Schneier on Security
Scott Helme
Scott Helme
L
LINUX DO - 热门话题
Help Net Security
Help Net Security
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
P
Palo Alto Networks Blog
P
Privacy International News Feed
AWS News Blog
AWS News Blog
Forbes - Security
Forbes - Security
N
News and Events Feed by Topic
L
LINUX DO - 最新话题
A
Arctic Wolf
Hacker News: Ask HN
Hacker News: Ask HN
P
Proofpoint News Feed
N
News and Events Feed by Topic
S
Security @ Cisco Blogs
Cyberwarzone
Cyberwarzone
Google Online Security Blog
Google Online Security Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
PCI Perspectives
PCI Perspectives
Know Your Adversary
Know Your Adversary
The Hacker News
The Hacker News
www.infosecurity-magazine.com
www.infosecurity-magazine.com
T
Tenable Blog
S
Security Affairs
P
Privacy & Cybersecurity Law Blog
W
WeLiveSecurity
Jina AI
Jina AI
The GitHub Blog
The GitHub Blog
S
Securelist
AI
AI
Latest news
Latest news
T
The Blog of Author Tim Ferriss
Application and Cybersecurity Blog
Application and Cybersecurity Blog
C
Cybersecurity and Infrastructure Security Agency CISA
月光博客
月光博客
酷 壳 – CoolShell
酷 壳 – CoolShell
C
CXSECURITY Database RSS Feed - CXSecurity.com
美团技术团队
G
GRAHAM CLULEY
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Simon Willison's Weblog
Simon Willison's Weblog
Hacker News - Newest:
Hacker News - Newest: "LLM"
C
Cisco Blogs
V
Visual Studio Blog
L
LangChain Blog

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 GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. 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 How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
GitHub - zero-intelligence/zero-protocol: ZERO.md — A universal protocol for personal AI context. Your AI knows your project. It doesn't know you. This file fixes that.
DhruvKumarJh · 2026-05-20 · via Hacker News - Newest: "AI"

Your AI doesn't know you. This file fixes that.

Want to contribute? Fork it. Build on it. Do whatever you want. MIT licensed.

Want to partner with us? Read PARTNER.md.


The Problem

Every AI you use starts from absolute zero about who you are. It doesn't know how you think, how you make decisions, where your instincts are sharp, or where they betray you. It doesn't know whether to push back or follow, whether you want the safe answer or the honest one.

Your project has context files. .cursorrules, AGENTS.md, CLAUDE.md — these describe the codebase.

Nothing describes you.

So the AI gives you the generic answer. The one it gives to everyone. The median. The safe center.

What Is ZERO.md

ZERO.md is a personal context file — a cognitive fingerprint — that you drop into any AI's system prompt.

A 2,000-word cognitive payload. 8 sections. It captures how you think, how you communicate, how you decide, where you're strong, and where you consistently fail.

It travels with you, not with your project. It works with any AI that accepts a system prompt: Cursor, Claude, ChatGPT, Gemini, Copilot, or anything else.

When you load your ZERO.md, the AI stops being a generic assistant and starts operating as an extension of your specific cognitive architecture.


The Difference

Same query. Same AI. Same model. The only variable is the ZERO.md file.

Without ZERO.md

You: "Thinking of adding a dark mode toggle to the dashboard this afternoon. Should be a quick 1-day build."

AI: "Adding a dark mode toggle is a huge crowd-pleaser! It can definitely be a 1-day build, but it's famously one of those "iceberg" features: the toggle takes 15 minutes to build, but the styling can take days depending on the state of your codebase.

To help you actually hit that 1-day goal this afternoon, here is a quick checklist..."

Then it gives you a 400-word tutorial on CSS variables, localStorage persistence, FOUC fixes, chart theming gotchas, and asks "What tech stack are you building this in?" so it can write even more boilerplate.

Technically perfect. Completely irrelevant. It helped you build the wrong thing better.

With ZERO.md

System prompt loaded: ZERO.md — solo founder, 8 customers, $2k MRR, consistently underestimates timelines, decides by "does this move revenue?", known pattern of building features to avoid doing sales.

Same query. Same AI.

AI: "Don't build it. It's a distraction.

Nobody buys a B2B onboarding tool because it has dark mode. This will move your MRR by exactly $0.

Also, your "1-day build" will take 3 days of chasing down Tailwind classes, fixing CSS variables, and patching unreadable text in edge-case UI states.

Skip it. Spend the afternoon sending 50 cold emails to get customer #9."

4 lines instead of 400. It knew the product (B2B onboarding), the revenue ($0 impact), the timeline bias ("1 day" → 3 days), and the real priority (sales, not styling). All from the ZERO.md.

Verify it yourself. Both conversations are public — same model, same query, one variable:

Without ZERO.md · With ZERO.md


Who Is This For

Anyone who uses AI to think, write, decide, or create.

Domain What Changes With ZERO.md
Founders / CTOs AI writes strategy, emails, and architecture decisions in your actual voice. Pushes back on your known blind spots.
Engineers AI catches the specific mistakes you tend to make. Reviews code through your priorities, not textbook principles.
Product Designers AI critiques through your design philosophy. Knows whether you optimize for speed or craft.
Marketers AI drafts copy calibrated to your instincts, not generic "best practices."
Researchers AI challenges assumptions through your methodological lens, not the generic one.
Writers AI edits in your authentic register. Not the professional-sanitized version. Yours.
Managers / Leads AI helps with 1:1 prep, team design, performance reviews — in your management voice, aware of your leadership blind spots.

If you work with AI and you're tired of the generic answer — this is for you.


Quick Start

  1. Copy TEMPLATE.md
  2. Fill in the 8 sections. Be honest — especially about weaknesses. The AI needs your real failure modes, not the sanitized version.
  3. Drop it into your AI's system prompt (Cursor rules, Claude project instructions, ChatGPT custom instructions, Gemini system prompt — anywhere)
  4. Done. Your AI now knows you.

The Spec

SPEC.md — The formal specification. 8 sections, what each must contain, conformance rules.

TEMPLATE.md — Blank template. Copy and fill in.

EXAMPLE.md — A complete, filled-in ZERO.md showing what "good" looks like.

The Archetype Library

We've forensically mapped 10 distinct cognitive profiles across the tech ecosystem. Read these to see what a high-fidelity ZERO.md looks like in practice.

Domain File Why It Matters
Solo SaaS Founders solo-saas-founders.md High AI usage, painful decision-making, vulnerable to the "boilerplate loop."
Smart Contract Engineers smart-contract-engineers.md Security-paranoid. Driven by invariant math and absolute edge-case testing.
Production AI/ML Engineers ai-ml-engineers.md The gap between "works in a notebook" and "works in production." Fighting latency and VRAM.
Developer Relations developer-relations-engineers.md High public visibility. Living in the liminal space between core engineering and GTM.
Legacy Backend Engineers senior-backend-engineers.md The 2am pager archetype. Systemic constraints, zero-trust of modern "clean code" hypes.
Startup CTOs startup-ctos.md Torn between leadership and shipping code. High technical debt velocity.
Early-Stage Product Designers product-designers.md Isolated generalists. Constrained by offshore engineering and founder vision.
B2B Growth Marketers growth-marketers.md Data engineers masquerading as marketing. PLG, analytics bottlenecks, tool fatigue.
Solo Indie Game Devs indie-game-developers.md Vicious scope creep. Combatting the algorithm. Heavy prototyping vs architecture tension.
Technical Content Writers technical-content-writers.md Docs-as-code experts. Translating legacy spaghetti code into structured LLM contexts.

On Generation

Writing an honest ZERO.md is hard. Most people can't do it accurately.

Here's why: self-perception is structurally flawed. You will write the version of yourself you wish existed. You'll soften your weaknesses into strengths. You'll describe your ideal decision process instead of your actual one. You'll frame your blind spots as "areas of growth" instead of saying "my first instinct here is usually wrong."

The result: a ZERO.md that makes your AI worse, not better. It optimizes for the person you think you are, not the person you actually are. And then when the AI gives you the same generic answers, you'll blame the protocol instead of the file you wrote.

A self-written ZERO.md is still better than nothing. But it is grounded in self-perception, which has a well-documented accuracy problem.

A forensically-generated ZERO.md is grounded in behavioral evidence — your actual work patterns, communication under pressure, decision trails, commit rhythms. Years of data about how you actually operate, not how you remember operating.

Both are valid. They are not the same thing.

We generate forensic ZERO.md files from behavioral evidence at Zero Intelligence.

→ Contact: zero.intelligence.protocol@gmail.com


How Is This Different From Other Context Files

File Describes Scope Changes When
.cursorrules How to write code in this codebase Project Project changes
AGENTS.md How AI agents should behave in this repo Project Repo conventions change
CLAUDE.md / GEMINI.md What AI should know about this project Project Project context changes
SKILLS.md What an AI agent can do — its capabilities, tools, available actions Agent Agent capabilities change
ZERO.md How a human thinks, decides, communicates, and fails Person Person evolves

SKILLS.md tells the AI what it can do. ZERO.md tells the AI who you are.

Project files change with the project. Agent files change with the agent. ZERO.md travels with you across every project, every tool, every AI you work with. It's the one file that stays constant while everything else rotates.


License

MIT. Do whatever you want with it.


ZERO.md is an open protocol by Zero Intelligence. The spec is free. The template is free. Build your own generators, integrations, tools. The forensic generation pipeline — the one that produces ZERO.md from years of behavioral data instead of self-perception — is a separate, commercial service.

This project is not affiliated with Vercel's Zero (a programming language for agents). Different zero, different problem. We love Vercel and use their products — this protocol is about personal cognitive context, not agent infrastructure.