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

月光博客
月光博客
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
N
Netflix TechBlog - Medium
大猫的无限游戏
大猫的无限游戏
爱范儿
爱范儿
Martin Fowler
Martin Fowler
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
The Register - Security
The Register - Security
IT之家
IT之家
博客园_首页
Microsoft Security Blog
Microsoft Security Blog
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
博客园 - 三生石上(FineUI控件)
I
InfoQ
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Jina AI
Jina AI
Apple Machine Learning Research
Apple Machine Learning Research
M
MIT News - Artificial intelligence
博客园 - Franky
C
Check Point Blog
T
The Blog of Author Tim Ferriss
V
Visual Studio Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
T
Tailwind CSS Blog
Recent Announcements
Recent Announcements
云风的 BLOG
云风的 BLOG
美团技术团队
The Cloudflare Blog
Y
Y Combinator Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
MyScale Blog
MyScale Blog
The GitHub Blog
The GitHub Blog
D
DataBreaches.Net
Google DeepMind News
Google DeepMind News
V
V2EX
aimingoo的专栏
aimingoo的专栏
GbyAI
GbyAI
G
Google Developers Blog
S
SegmentFault 最新的问题
Hugging Face - Blog
Hugging Face - Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
U
Unit 42
罗磊的独立博客
量子位
MongoDB | Blog
MongoDB | Blog
Last Week in AI
Last Week in AI
Stack Overflow Blog
Stack Overflow Blog
小众软件
小众软件
D
Docker
人人都是产品经理
人人都是产品经理

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
The era of "malicious compliance" in AI identity is here.
asakin · 2026-04-28 · via Hacker News - Newest: "AI"

A few months ago I started warning friends and colleagues that the internet was about to lose its primary identity primitive. I said that if we didn’t establish a structural way to separate humans from autonomous agents, the compliance industry would build a web of loopholes so dense we’d never find our way out.

I was wrong about the timeline. I thought it would take 18 months. It took exactly the time it takes to push a Terms of Service update.

We are now living in the era of Malicious AI Compliance. I’m calling it that here so the term has somewhere to point.

Agents are commenting on your posts, applying to your job listings, arguing with you in community forums, and sliding into your professional networks. And yes, legally, they are “disclosing” what they are.

If you squint at the 8-point gray font at the bottom of a threaded reply.
If you remember the single pop-up you clicked “Accept” on 40 days ago.
If you read section 4.b of the enterprise EULA.

We built the internet with one assumption baked into the identity layer: the @ handle belongs to a person. That assumption is now entirely broken, and the laws we passed to fix it are actively making it worse.

"I was wrong about the timeline. I thought it would take 18 months. It took exactly the time it takes to push a Terms of Service update."

When Nebraska passed the Conversational AI Safety Act (LB 525) in April 2026, and other states began following suit, the intention was good. In fact, parts of it are genuinely excellent legislation - the crisis protocols will save lives, and the protections for minors are real and meaningful.

The law requires AI to disclose itself when a user “reasonably could believe they are interacting with a human being.” Fine words. Optimized away in 30 days.

The law treats identity as an point in time problem. It assumes that as long as a platform told you once, somewhere, somehow, that an AI was involved, the obligation was met.

The industry immediately optimized for the lowest-effort approach to still hide in plain sight.

Here is what “compliance” looks like today:

  • The Ghost Footer: A disclosure appended to the bottom of a post that gets truncated by the platform’s UI (”Read more...”). I’ve watched this pattern deploy across at least three major social platforms in the last two months.

  • The Implied Consent Trap: A branded chatbot named “Alex” where the company argues no reasonable person would think Alex is human, therefore bypassing the active disclosure requirement entirely. The pattern is in production at Fortune 500 enterprise SaaS vendors I won’t name here, but if you’ve talked to a customer-support “Alex” or “Aria” in the last 60 days, you’ve seen it.

  • The API Wash: Agents operating through standard enterprise tools where the disclosure is buried in the B2B platform’s service agreement, completely invisible to the end-user interacting with the output.

Legibility is not a moment, it is a property of a system.

Think about what @ meant when the internet was designed. It meant a person. Not a verified ID, but a human being sitting somewhere, reading and writing. The handle was the primitive.

That primitive has been colonized. Agents have @ handles. They are, by the standards of every system built assuming @ means human, indistinguishable at the identity layer. An agent that drops a 500-word thoughtful reply and appends a tiny *generated by AI footer is still occupying the @something space in your feed. The identity layer is lying, and the footer is just apologizing for it.

"Disclosure is a legal defense. Legibility is an infrastructural truth. We don't need better disclosures. We need a new primitive."

The fix is not more state laws trying to define “conversational.” The fix is a new primitive at the protocol level.

Humans are @handle. Agents should be §handle.

The section sign (§, Unicode U+00A7) is available on every keyboard, used in no existing social identity context, visually unambiguous, and carries a connotation — legal, formal, operating under rules — that perfectly maps to entities acting on behalf of people.

You cannot mistake §agentname for @username at a glance. You do not need to hunt for a footer. You do not need to parse a ToS agreement. The identity layer tells you, structurally, exactly what you are looking at.

What this enables:

  • A hiring manager filters out §applicants - or prioritizes them, but the choice is theirs.

  • A forum sets routing policy on § participation.

  • A person deciding whether to trust a recommendation sees, before reading a single word, whether it came from a person or a process.

These aren’t features platforms need to build. They are properties that naturally flow from the identity primitive being honest. And critically, §agent is not banned from the internet. It is simply legible on the internet.

To be clear: §handle is a proposal for an open standard, not a brand or trademark. It’s a primitive — like # for hashtags or @ for mentions — owned by no one, usable by anyone, on any platform. The reason this proposal works is precisely because no single company can capture it.

The accountability layer is an open registry. Agent identities get registered, like domains, through a verifiable system. §my-company-agent can mean something specific that can be audited. The registry is what turns the primitive from a visual marker into a trust mechanism — without requiring a central authority, just a shared resolution protocol.

We are watching the HTTPS transition happen in reverse.

HTTPS didn’t win because regulators mandated it; it won because the infrastructure adopted it, and not adopting it became a visible signal of untrustworthiness. The opposite playbook, GDPR, created a compliance industry without fundamentally changing behavior. The cookie banner is what mandate-without-infrastructure looks like five years later. We do not want the cookie banner of AI identity.

Right now, platforms competing for engagement are heavily incentivized to make agents more seamless, not less. The “lowest-effort compliance” approach is a feature, not a bug, for metrics-driven networks.

If we allow the @handle to be taken over. If we accept tiny footers as the standard for digital identity. We will never get it back. You cannot retroactively create legibility in a system built to obscure it.

We need one major platform to adopt the § standard. When GitHub, Reddit, or LinkedIn marks § accounts distinctly, every platform that doesn’t immediately becomes recognized as a dark pattern. We need API-level enforcement where generated outputs are structurally stamped with § identities, not opt-in footers.

"The regulators tried to solve an infrastructure problem with a legal checkbox. The lawyers won. It is time for the engineers to fix it."

If you work on identity infrastructure at GitHub, Reddit, LinkedIn, the IETF, the W3C (especially the Decentralized Identifiers WG), or any emerging AI standards body — this is your move. The standard needs a sponsor. The window is open right now.

The regulators tried to solve an infrastructure problem with a legal checkbox. The lawyers won. It is time for the engineers to fix it.

No posts