Huge Anthropic leak just dropped: the entire Claude Code CLI source is now public.
A misconfigured .map file in their npm package exposed a direct download link to the full unobfuscated TypeScript codebase from Anthropic’s own R2 bucket.
Discovered by Chaofan Shou (@Fried_rice), the dump is massive 1,900 files, 512,000+ lines including the complete tool system, 50+ slash commands, multi-agent coordinator, React/Ink terminal UI, IDE bridge, permission engine, and several unreleased features.
Full repo is live on GitHub(@nichxbt ):
https://t.co/BLxqDmwsB0
Clean mirrors are already up for easy browsing(@baanditeagle):
https://t.co/BN007COQzi
https://t.co/DYSytIEKZ4
It’s spreading fast, the entire dev community is already tearing through it.
One of these things is not like the other…
The other day @PratapRanade brought home 3 RF circuits. Ok “10GHz band pass-filters” he says, to be precise. The first two are human-made, the third is what they’re calling “an alien geometry” 👾
Look how funky it is.
That’s the world’s first-ever AI-made RF circuit achieved by the electromagnetism foundation model @arenaphysica.
No human would have created it this way. It’s odd, it looks random, but it really works & it might be the future guts inside every satellite, radar, microwave etc one day.
Today, we're announcing Heaviside, our foundation model for electromagnetism.
Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial solver.
Heaviside is not a language model, and it’s not a surrogate model. Heaviside marks a new class of foundation model for physics which understands the fundamental relationships between materials, the geometries and the electromagnetic fields they generate.
We’re releasing a research preview of Heaviside in Atlas RF Studio, an interactive agentic sandbox where you describe the EM behavior you want and the model generates the physical structure that produces it.
@arenaphysica , we believe the implications of this class of model extend well beyond RF, as the frontier of exquisite hardware is electromagnetically-governed: wireless communication, radar, power delivery, high-speed computing, and the interconnects inside every chip on earth.
In the months ahead, we’re excited to scale up Heaviside to broader frequency ranges, design spaces, and to support silicon-level designs, and deploy it with our closest partners and collaborators in service of their biggest design challenges.
If you’ve read our thesis, this is just Step 2 in our pursuit of electromagnetic superintelligence.
Read the full announcement and try Atlas RF Studio…tell us what you think: https://t.co/oCOsJQvF1h
Look at this image carefully. You are looking at a Chinese commercial satellite photograph of Prince Sultan Air Base in Saudi Arabia. Every red box is an artificial intelligence model identifying a US military aircraft by type. Every label is in Mandarin. And the base you are looking at is the one Iran fired ballistic missiles at on Saturday night.
A company called MizarVision, founded five years ago in Hangzhou, published this. Not the Pentagon. Not the CIA. Not a classified intelligence briefing delivered to the Situation Room. A Chinese startup with access to sub-meter resolution Earth observation satellites and an AI object detection model that can distinguish a KC-135 Stratotanker from a KC-46 Pegasus from orbit.
Aviation Week confirmed what the image shows. Fifteen KC-135 aerial refueling tankers. Six KC-46 Pegasus tankers. Six E-3 Sentry airborne early warning aircraft, which is significant because only thirty one E-3s remain in the entire US Air Force inventory worldwide, meaning roughly a fifth of America’s operational AWACS fleet is parked on a single ramp in the Saudi desert. Two E-11A Battlefield Airborne Communications Nodes. C-130 Hercules transports. C-5 Galaxy heavy lifters. The backbone of Operation Epic Fury, catalogued from space and published on Weibo.
This is the base that Iran targeted. AFP journalists in Riyadh reported explosions in the eastern part of the capital with thick smoke rising. The Saudi Foreign Ministry condemned Iranian attacks targeting Riyadh and the Eastern Province. Saudi air defenses intercepted the projectiles. But the image you are looking at was published days before the strike. Which means Iran had exactly the same intelligence picture that MizarVision gave the entire world for free.
This is what the democratization of intelligence looks like. In 1991, only the United States could see individual aircraft on a ramp from space. In 2003, a handful of nations had that capability. In 2026, a Chinese startup publishes annotated satellite imagery of American force dispositions on social media, and Aviation Week runs the analysis before the first missile is fired.
Defence Security Asia captured what this means: sub-meter resolution imagery distinguishing individual aircraft types fundamentally alters the secrecy calculus of pre-strike deployments. You cannot mass two hundred aircraft across half a dozen bases and keep it secret when commercial satellites photograph every ramp twice a day and AI models label every airframe before an analyst finishes their coffee.
The age of hidden buildups is over. Every deployment is now observable, catalogued, and published in near real time by companies with no security clearance and no allegiance to anyone. The next war will not be planned in secret. It will be watched from orbit by everyone, in every language, simultaneously.
https://t.co/BrzGRrU3VW
get back into your nerdy interests.
the things you were obsessed with before status entered the room.
before you optimized for being impressive.
before curiosity got replaced by performance.
those interests weren’t random.
they were early signals of how your mind actually works.
what patterns you enjoy tracking.
what complexity you tolerate.
what kind of problems you naturally sink into.
most people abandon that thread to become “normal.”
they trade depth for approval.
then wonder why everything feels dull and forced.
nerdy interests compound.
they build real skill, real taste, real leverage.
they turn play into mastery over time.
returning to them isn’t regression.
it’s recovery.
that’s where original thinking comes from.
that’s where serious builders are formed.
that’s where you stop consuming identities and start producing work.
The scale of this engineering is terrifying. 🤯
This is a soviet giant telescope, Kalyazin RT-64, originally designed to support robotic missions to Venus and Mars and prepare for possible manned expeditions. Despite looking like an abandoned relic near the city of Kalyazin, it remains fully operational for communication in deep space.
DMT trip report compilation
30+ testimonies from people who have taken DMT. The similarities amongst the various testimonies are compelling.
02:16 The beginning
05:55 The Hum
08:05 Geometric patterns
10:00 All the Knowledge of the Universe
12:16 I have been here before
13:11 The Entities
15:00 The Entities interacted with me
16:30 The Entities showed me things
18:30 The spinning geometric cubes
21:17 It felt so real
25:07 Everything went silent, nothing
27:40 One of the most profound things