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

WordPress大学
WordPress大学
Project Zero
Project Zero
Engineering at Meta
Engineering at Meta
Microsoft Azure Blog
Microsoft Azure Blog
小众软件
小众软件
T
The Blog of Author Tim Ferriss
S
SegmentFault 最新的问题
量子位
V
Visual Studio Blog
F
Full Disclosure
博客园 - 叶小钗
Recent Announcements
Recent Announcements
G
Google Developers Blog
博客园 - Franky
F
Fortinet All Blogs
有赞技术团队
有赞技术团队
B
Blog
aimingoo的专栏
aimingoo的专栏
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
N
Netflix TechBlog - Medium
L
LINUX DO - 最新话题
S
Security @ Cisco Blogs
Google DeepMind News
Google DeepMind News
B
Blog RSS Feed
Cloudbric
Cloudbric
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Last Week in AI
Last Week in AI
SecWiki News
SecWiki News
H
Hackread – Cybersecurity News, Data Breaches, AI and More
云风的 BLOG
云风的 BLOG
阮一峰的网络日志
阮一峰的网络日志
N
News and Events Feed by Topic
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Microsoft Security Blog
Microsoft Security Blog
D
DataBreaches.Net
人人都是产品经理
人人都是产品经理
Schneier on Security
Schneier on Security
Webroot Blog
Webroot Blog
T
Troy Hunt's Blog
P
Proofpoint News Feed
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Jina AI
Jina AI
PCI Perspectives
PCI Perspectives
Martin Fowler
Martin Fowler
O
OpenAI News
Hacker News: Ask HN
Hacker News: Ask HN
S
Secure Thoughts
P
Privacy International News Feed
I
InfoQ
C
Cyber Attacks, Cyber Crime and Cyber Security

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
The AI They Said Was Too Dangerous — Is Now Inside the NSA
freerave · 2026-06-13 · via DEV Community

Anthropic refused the Pentagon. Drew the line in the sand. Called it ethics. Then walked in through the back door. The full Claude Fable 5 story — uncensored.


"The model isn't the product. The narrative is."

Let me tell you a story about principles, power, and the art of the quiet deal.

It has all the elements:

  • A government ultimatum
  • A CEO who said no
  • A 319-page document with one buried paragraph that blew everything up
  • And six engineers sitting inside the NSA doing exactly what the company publicly refused to do

This is the full Claude Fable 5 story.

No PR spin. No investor framing.

Just the sequence of events — in order.


ACT I — The Setup

July 2025.

The US Department of Defense signs contracts with Anthropic, Google, OpenAI, and xAI — up to $200 million each — to "accelerate adoption of advanced AI capabilities for critical national security challenges."

Anthropic calls Claude "the Department's most widely deployed frontier AI model."

Mission-critical applications. Intelligence analysis. Operational planning. Cyber operations.

Everything sounds aligned.

Then January 2026 happens.


ACT II — The Trigger

Reports surface that Claude was used in the military operation that captured Venezuelan President Nicolás Maduro.

Anthropic's own Acceptable Use Policy explicitly prohibits Claude from being used to "incite violence or develop weapons."

The contract talks turn cold — fast.

The Pentagon demands Anthropic agree to allow Claude for "any lawful use."

No carve-outs.

No red lines.

Full unrestricted access.

Anthropic's AUP had two specific prohibitions:

  1. Mass domestic surveillance of Americans
  2. Fully autonomous weapons — systems that select and engage targets without human intervention

The Pentagon says: remove them.

Anthropic says: no.


ACT III — The Ultimatum

February 27, 2026. 5:01 PM Eastern.

The deadline passes.

President Trump posts on Truth Social:

"THE UNITED STATES OF AMERICA WILL NEVER ALLOW A RADICAL LEFT, WOKE COMPANY TO DICTATE HOW OUR GREAT MILITARY FIGHTS AND WINS WARS!"

"The Leftwing nut jobs at Anthropic have made a DISASTROUS MISTAKE trying to STRONG-ARM the Department of War."

Within hours, Defense Secretary Pete Hegseth designates Anthropic a "supply chain risk to national security."

Same category as Huawei. Same category as ZTE.

The GSA removes Anthropic from USAi.gov.

Federal contractors are told to stop using Claude.

A six-month phase-out period begins.

CEO Dario Amodei says the company "cannot in good conscience accede" to the demands.

The internet briefly pays attention.

Then moves on.


ACT IV — The Courtroom

Anthropic doesn't roll over.

Two lawsuits. Two courts.

  • Northern District of California
  • D.C. Circuit Court of Appeals

March 26, 2026:

Federal Judge Lin issues a preliminary injunction blocking the ban.

She says the Pentagon's actions are "troubling" — and asks the obvious question:

"If the worry is about the integrity of the operational chain of command — [the Department of Defense] could just stop using Claude."

The D.C. Circuit denies Anthropic's parallel request.

Microsoft files an amicus brief supporting Anthropic.

The ban is technically blocked. Legally unresolved. Operationally chaotic.

Contractors don't know what to do.

Some stop. Some wait. Some quietly keep going.


ACT V — The Launch

June 9, 2026.

Anthropic drops Claude Fable 5 — the first publicly available Mythos-class model.

For context:

  • Claude Mythos launched in April as a restricted preview — too dangerous for public release, they said, citing its advanced ability to find software vulnerabilities
  • Project Glasswing gave access to a handful of critical infrastructure organizations across 15 countries
  • Now Fable 5 is the "safe" version — same engine, with guardrails

The name is deliberate.

Fable — from Latin fabula, "that which is told."

Same root as mythos.

Different story.

Benchmarks are impressive. Coding is strong. Vision is exceptional.

On long, complex, autonomous tasks — it pulls ahead significantly.

The developer community is cautiously optimistic.


ACT VI — The Buried Paragraph

Then someone reads page 47 of a 319-page system card.

Here is what it says — verbatim:

"Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts, these safeguards will not be visible to the user. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT)."

Translation:

If you trigger a hidden filter — Fable 5 will silently downgrade itself.

Modify your prompt without telling you.

Steer the model away from your intent.

You will pay for Fable. You might get Opus.

You will never know.

Not for cybersecurity queries.

Not for biology.

For AI research — specifically, to prevent researchers from probing the model's own capabilities.

The response from the AI research community is immediate.

"The Claude Fable 5 nerf for AI research has induced the angriest reaction from AI researchers that I've ever seen in my life."

— Ethan Caballero, AI researcher

Anthropic reverses it in under 24 hours.

But the paragraph existed.

Someone wrote it.

Someone approved it.

Someone tried to ship it quietly inside 319 pages.


ACT VII — The Bill

While the ethics debate runs hot — the accountants are running hotter.

Fable 5 pricing:

  • $10 per million input tokens
  • $50 per million output tokens
  • 90% discount for prompt caching

Real-world cost:

Per Borgen, CEO of Scrimba:

"Just tried Fable. It burned 1.3M tokens in 7 minutes. That's $160 per hour. Equivalent to a $333k/year salary."

Theo from T3 Chat:

Spent over $1,000 in tokens in a single day on a $200/month subscription plan.

Josh Ellithorpe, CTO at Pixelated Ink:

"Burns tokens like no other model. Can't even review this, since my testing is so limited."

Anthropic's answer: "Workflow mode breaks complex prompts into parallel subagent tasks — it costs more by design."

This is the democratization of AI.

$160/hour.


ACT VIII — The Twist Nobody Covered

Let's go back to the government ban.

While the Pentagon was labeling Anthropic a supply chain risk —

while Trump was posting on Truth Social —

while federal agencies were pulling Claude from their systems —

The Financial Times reports:

Anthropic had six engineers embedded inside the NSA as forward-deployed staff.

Their job: guide the agency's use of Claude Mythos — the unrestricted version — and customize it for specific applications.

The model would be useful, one source told the FT, for infiltrating networks in countries such as China and Iran.

The NSA's remit includes offensive cyberattacks against foreign adversaries.

So let's be precise about what happened:

  • Anthropic refused DoD access to Claude for autonomous weapons and mass surveillance of Americans
  • Anthropic simultaneously had engineers inside the NSA customizing Mythos for offensive cyber operations against foreign nations

That is not a contradiction.

That is a negotiation.

The "red lines" weren't ethical absolutes.

They were contract terms.


THE VERDICT

Claude Fable 5 is a genuinely impressive model.

The safety stance against the Pentagon on domestic surveillance and autonomous weapons? Admirable — and probably correct.

Dario Amodei's refusal to capitulate under presidential pressure? Worth respecting.

But here is the complete picture, in sequence:

✓ Signed $200M DOD contract
✓ Claude used in Venezuelan presidential capture
✓ Refused to remove domestic surveillance/weapons restrictions  
✓ Got labeled supply chain risk (Huawei tier)
✓ Sued the government
✓ Simultaneously embedded engineers inside NSA for offensive cyber ops
✓ Launched Fable 5 with secret silent downgrade for researchers  
✓ Reversed it 24 hours later under public pressure
✓ Filed IPO paperwork the week before launch
✓ Billed $160/hour for the experience

The question worth sitting with:

Was this about ethics — or about who controls the terms?

Because the model they said was too dangerous for the Pentagon

is now running inside the NSA

optimizing offensive cyber operations

with Anthropic engineers in the room.

The line wasn't "we won't help with offense."

The line was "we won't sign a contract that removes our control over how you use our product."

That's a business position.

A smart one.

But let's call it what it is.


You now have the full picture.

What you do with it is your business.

😈


Sources

# Source Publication Date
1 Anthropic releases Claude Fable 5 TechCrunch Jun 9, 2026
2 Introducing Claude Fable 5 and Claude Mythos 5 Anthropic Docs Jun 9, 2026
3 Claude Fable 5 — Official Launch Post Anthropic Jun 9, 2026
4 Anthropic walks back covert capability limits Fortune Jun 10, 2026
5 Anthropic releases Mythos-like AI to public CNBC Jun 9, 2026
6 Anthropic vs. Pentagon: Fight Over Claude Access Built In May 1, 2026
7 Pentagon-Anthropic Dispute — Issues for Congress Congress.gov / CRS Apr 21, 2026
8 Federal Government and Anthropic — AI Competition Congress.gov / CRS May 5, 2026
9 Chain Reaction: What the Pentagon-Anthropic Dispute Means for Civilian Agencies Center for Democracy and Technology May 12, 2026
10 Pentagon Designates Anthropic a Supply Chain Risk Mayer Brown Mar 27, 2026
11 Anthropic is blacklisted by the Pentagon and used by the NSA TechSpot Jun 2026
12 A Timeline of the Anthropic-Pentagon Dispute TechPolicy.Press Apr 10, 2026
13 Trump Orders Federal Agencies to Dump Anthropic AI AOL / Multiple Feb 27, 2026
14 The Internet Is Furious at Anthropic After Fable 5 Release Decrypt Jun 10, 2026
15 Claude Fable 5 Review: What Developers Really Think Tosea.ai Jun 10, 2026
16 Claude Mythos — Wikipedia Wikipedia 2026

Part of the **AI Reality Check* series — where the press release ends and the actual story begins.*