WTF

Time/Breathe Reprise youtu.be/EnGzLlwmjSU?si… via @campgreensky @pickathon #cherryhill

New episode, Inside Mexico’s Cartel Civil War, out now youtu.be/h4WSpp5TIHE

🚨BREAKING: You can now run Claude Code for FREE /w Ollama + OpenRouter No API costs. No rate limits. 100% local on your machine. Here's how to run Claude Code locally (100% free & fully private):

The barrier of entry of noobs has fallen through the floor. All noobs need to do is jail break the AI model gambit.security/blog-post/a-si…

Claude code source code has been leaked via a map file in their npm registry! Code: …a8527898604c1bbb12468b1581d95e.r2.dev/src.zip

This is big... Anthropic just announced a model so powerful they won't release it to the public out of fear over the damage it will cause 😨 Claude Mythos Preview found thousands of zero-day exploits in every major operating system and web browser... The numbers are hard to believe: > $50 to find a 27-year-old bug in OpenBSD, one of the most security-hardened operating systems ever built > Under $1,000 to find AND build a fully working remote code execution exploit on FreeBSD that grants unauthenticated root access from anywhere on the internet > Under $2,000 to chain together multiple Linux kernel vulnerabilities into a complete privilege escalation exploit For context: these are the kinds of findings that previously required elite security researchers working for weeks. Anthropic engineers with no formal security training asked Mythos to find exploits overnight. They woke up to working code the next morning. The results were so impressive Anthropic assembled Apple, Google, Microsoft, Amazon, NVIDIA, and seven other organizations into Project Glasswing: A $100M defensive coalition. They're not releasing this model publicly. Instead, they're racing to patch the world's infrastructure before models like this proliferate.

NASA Artemis passing close to the Moon

The Iranian government bombed Oracles infrastructure in the UAE today. This is absolutely terrible news. My heart aches for Oracle. Iran, please do not destroy this places infrastructure:

Can confirm the leaked claude code does in fact work on a $30 phone. Having the source actually let me fix an issue with /tmp being hardcoded which caused a lot of issues running on Android in the past, so now I can specify a different temp directory in a .env which is helpful.

FREE OPEN CLAUDE CODE GitHub link: github.com/Gitlawb/opencl… Enjoy ;)

IT WORKED. I'm in love with free open claude code

Anthropic leaked 512,000 lines of Claude Code source code yesterday. What happened in the next 12 hours is absolutely wild. 4 AM. Anthropic pushes an update to npm. Inside the package: their entire codebase. A 60 MB debugging file accidentally bundled in. 23 minutes later, researcher Chaofan Shou spots it. Downloads the zip. Posts it on X. Within 6 hours: 3 million views. By the time Anthropic’s team woke up, the code was forked 41,000+ times across GitHub. Anthropic started firing DMCA takedowns. Too late. A Korean developer named Sigrid Jin woke up to his phone exploding. He’s Claude Code’s biggest power user. WSJ reported he burned through 25 billion tokens last year. He read the leaked code. Rewrote the entire thing in Python in 8 hours. His repo hit 30,000 stars faster than any GitHub project in history. Then he rewrote it again in Rust. That version now has 49,000 stars. Someone mirrored it to a decentralized platform with one message: “will never be taken down.” The code is permanent. Anthropic cannot get it back. Here’s the part I can’t stop thinking about: Anthropic built something called “Undercover Mode.” Its only job: prevent Claude from accidentally leaking internal secrets. They shipped an entire anti-leak system in their own product. Then leaked their own source code in a .map file. Irony is beautiful

Hmm

Open Source Radar Has Up To 20 KM Range ift.tt/TJQroUL

I've published more details about the cyberattack in this piece: zetter-zeroday.com/iranian-hackti…

Repo Link: github.com/microsoft/BitN…

Only legends know who he truly is.

The FBI (and apparently every other government agency on planet) has seized LeakBase, the long standing competitor to Breached, with the difference being LeakBase was more tailored to Eastern Europeans. Hot take: Operation Leak is an unoriginal and lazy name

Guide to Windows identity and Kerberos research github.com/darkoperator/m…

BREAKING: MIT just mass released their Al library for free. (Links included) I went through these and honestly... this is better than most paid courses I've seen. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. 3. Machine Learning Systems Production-ready architecture. System design principles. Advanced Techniques 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks. 5. Deep Learning The definitive textbook. Covers everything deeply. Reinforcement Learning 6. RL Basics (Sutton & Barto) The classic. Agent training fundamentals. 7. Distributional RL Beyond expected rewards. Advanced theory. 8. Multi-Agent Systems Agents working together. Coordination and competition. 9. Long Game Al Strategic agent design. Future-focused thinking. Ethics & Probability 10. Fairness in ML Bias detection. Responsible Al practices. 11. Probabilistic ML (Part 1 & 2) Links: lnkd.in/gkuXuexa Most people pay thousands for bootcamps that teach half of this. Bookmark it. Start anywhere. Just start. Repost for others Follow for more insights on Al Agents. MIT's books on Al Foundations 1. Foundations of Machine Learning - lnkd.in/gytjT5HC 2. Understanding Deep Learning - lnkd.in/dgcB68Qt 3. Machine Learning Systems - lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML - algorithmsbook.com 5. Deep Learning - lnkd.in/g2efT6DK Reinforcement Learning 6. RL Basics (Sutton & Barto) - lnkd.in/guxqxcZZ 7. Distributional RL - lnkd.in/d4eNP-pe 8. Multi-Agent Systems - marl-book.com 9. Long Game Al - lnkd.in/g-WtzvwX Ethics & Probability 10. Fairness in ML - fairmlbook.org 11. Probabilistic ML (Part 1) - lnkd.in/g-isbdjj 12. Probabilistic ML (Part 2) - lnkd.in/gJE9fy4w