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
🚨 BREAKING: HuggingFace just dropped their complete AI engineering playbook to the public.
They released 12 courses that were internal-only until this week.
This covers LLMs, Robotics, and MCP, which is the exact tech stack behind Llama, Mistral, and every major open model.
This level of training won't stay free forever.
Here's what you need to grab right now 👇
The biggest threat to humanity isn’t a comet, a virus, or AI.
It’s the illusion that someone else is steering the ship.
Humanity isn’t dying.
Humanity is sleepwalking.
We’ve outsourced our thinking, outsourced our truth, outsourced our power, then wonder why everything feels broken.
The real danger is a species that forgets its agency.
A collective mind running on autopilot, hypnotized by noise instead of creating, building, imagining.
The moment humans remember they are the architects and not the passengers, the entire timeline shifts.
The threat isn’t outside us.
It’s the version of humanity that forgot what it is capable of.
🚨 BREAKING
TRUMP INSIDER WITH 100% WIN RATE JUST GOT FULLY LIQUIDATED ON HIS LONGS.
AFTER 14 SUCCESSFUL TRADES AND $33 MILLION PROFIT, HE WENT ALL-IN AND LOST $45 MILLION IN A SINGLE TRADE.
CRYPTO IS A WILD SPACE 🤯
China just destroyed the $400B global BIG luxury Brands market in a week.
Sales are plummeting for LV, Gucci, Hermès, Chanel
Chinese creators are exposing the truth...
Thread🧵
There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.
I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.
But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.
So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.
✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.
It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.
The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).
I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.
I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI
It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise
👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide
(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)
if you’re living in LA, and safe, please share footage of what you’re seeing in the comments here. think it would be good to have a single, easy thread to read, to help people understand how bad it is right now
📚Some basic components of RWA I wrote while at @BlockdaemonHQ: blockchain+issuing entity w/asset+ +wallet+stable+tokenization platform
🔎 Screenshot is case study of KKR’s primary market fund done via @Securitize
Further reading of my writing: https://t.co/IaX4d2rvz2
TAILWIND Wallet (🔵💨) is betting big on @SeiNetwork (🔴💨). $SEI is about to get a lot bigger
Visit https://t.co/sRyPAAOhwy to join our launchlist
What this means 👇🧵 (1/4)
From a regional economics perspective, there’s Singapore that takes a lion share in Asian market. What HK is doing is a bit of a desperate act to restore its original status, impacted due to a series of 🤐 events and limited liquidity. Imho HK s direct market is mainland China 🇨🇳