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1/2 my first small Ordinal series, titled:
Contour of attraction
1. bed_dreams ordinals.com/inscription/ddb…
2. hope ordinals.com/inscription/445…
3. love ordinals.com/inscription/0ed…
4. window_of_light ordinals.com/inscription/0c0…
5. stepping_forward ordinals.com/inscription/6a3…
cypherdoc retweeted
my spidey senses are telling me the labs are, as we speak, using unguardrailed versions of their unreleased models to systematically reverse-engineer ALL of the internet’s software, apps, and games, then feeding the reconstructed source code straight into their training pipelines while simultaneously building guardrails to ladder-pull the rest of us
cypherdoc retweeted
🧐 looks suspiciously like the sort of output you get when prompting for a visualizer for multi-agent communication
We were taught that Earth orbits the Sun in a closed circle. In reality, Earth has never returned to the same point in space once in 4.5 billion years.
Right now, the Sun is carrying Earth and every planet around the center of the Milky Way at 230 km/s (828,000 km/h), more than 18,000 kilometers every 80 seconds.
Because the Solar System is tilted 60.2° to the galactic plane and bobs up and down through the galactic disc roughly every 30 million years, the planets trace open 3D corkscrew helices across deep space rather than flat loops.
The last time the Sun stood where it stands today, one Galactic Year (230 million years) ago, the very first dinosaurs were only beginning to appear on Earth. Since forming 4.6 billion years ago, our Sun has completed only 20 laps.
cypherdoc retweeted
This is f*cking insane. Former Google CEO Eric Schmidt, the man who ran Google for 10 years:
"If you really want to make money, it's actually easy, found an agentic AI company, I mean build an agent to do something
If you build a better agent than anyone else, you can probably build one incredible company and own it yourself"
In 27 seconds, he explains why the next year or two is the agentic period, and why the window won't stay open
Prompts → Claude Code → Memory → Skills → MCP → A Company You Own Yourself
Save this before it disappears from your feed
Everything below is free:
Agent architecture
langchain.com/blog?category_…
Claude Code 101
anthropic.skilljar.com/claud…
Claude Code in action
anthropic.skilljar.com/claud…
Prompt engineering
platform.claude.com/docs/en/…
Interactive prompt course
github.com/anthropics/course…
Claude.md + memory
code.claude.com/docs/en/clau…
Skills
code.claude.com/docs/en/skil…
MCP
code.claude.com/docs/en/mcp
Routines
code.claude.com/docs/en/rout…
Claude Code ultimate guide
github.com/FlorianBruniaux/c…
Awesome Claude Code
github.com/hesreallyhim/awes…
Anthropic academy
anthropic.skilljar.com
Official Claude Code docs
code.claude.com/docs/en/over…
All of this costs $0
95% will spend the agentic period scrolling AI threads, the 5% who ship agents will own the companies that come out of it
Bookmark it and start with the first link tonight
Then read how to build an agent that actually does the job in the harness engineering guide below ↓
cypherdoc retweeted
🚨 BREAKING: JORDAN PETERSON DROPS MAJOR TRUTHS ON PIERS MORGAN UNCENSORED 🚨
Jordan Peterson perfectly highlights the dangerous reality of the energy crisis. With brilliant sarcasm, he unmasks the policies making environmental problems
worse while pushing millions into food insecurity.
"It's not that you love the planet, it's that you hate humanity." 🎯
Watch him completely expose the logical flaws in Western policy:
#JordanPeterson #PiersMorgan #EnergyCrisis #BreakingNews
Readers added context they thought people might want to know
This is a clip from a September 2022 Jordan Peterson interview with Piers Morgan, not recent or breaking.
x.com/PiersUncensore…
youtube.com/watch?v=SsW_Fl…
youtube.com/watch?v=BTv5fe…
Ten million people have watched a comedian accidentally destroy the entire TED talk industry.
He filmed the talk once at TEDxNewYork in 2014 and openly admitted he had nothing to say.
Speaking coaches charge $5,000 to teach the exact tricks he used in 6 minutes to say nothing at all.
His name is Will Stephen. He is a comedian from Late Night with Seth Meyers who was invited to give a real TED talk and used it to prove the format is a costume anyone can wear.
Every TED speaker opens with a question, tells a personal story, cites a scientist, and shows a chart. Stephen did all four in six minutes with zero content.
His entire formula fits on a napkin.
Gesture with both hands. Ask the audience a question anyone can answer. Tell a mildly embarrassing story so they say aww. Point to a stranger on a slide and call them important. Flash a chart of random numbers. Wear glasses with no lenses. The audience will think you are brilliant.
That last trick alone has probably cost the public speaking coaching industry a hundred million dollars in sessions clients should have skipped.
"If you watched me on YouTube with the sound off, you would think I was a genius."
That is Will Stephen on the TED stage, three minutes into the talk he was paid to give. He wasn't lying.
Executives pay $15,000 for a keynote coach and still open with a joke the room never laughs at. Founders rehearse their pitch for weeks and still sound like Stephen at minute four, saying "wagga wah, gabba gabba" with authority.
The talk is free on YouTube. The method is written across every TED speaker's playbook for ten years.
Stephen still writes for Seth Meyers. Almost none of the ten million viewers have stopped nodding at empty slides since.
The formula is free. The willingness to actually say something before your next keynote, pitch, or townhall is the entire edge.
cypherdoc retweeted
We have released Zero Breach Toolkit, a free open sourced tool capable of detecting over 12,100 traces of Israeli & other spyware on your devices. It works on Windows, Linux, Mac, Android and Iphones.
You can download it here: github.com/interplains/Zero-…
Inside the folder with the tools run this command: python -X utf8 scan/zero-breach-toolkit.py
It never writes to disk, never connects to the internet, or ask for admin perms. It takes around 10-15 minutes to run depending on the device.
This project is fully open source, so feel free to take the code and use it to create your own tools.
If you find some spyware on your device, consider sending it to us via telegram. Leave us a star on GitHub if the tool helped you.
Follow our backups: @ZionismExposedx
@IsraelExposedAr
God bless
cypherdoc retweeted
🌐 GrapheneOS vient d’obtenir ses propres adresses internet
Le registre nord-américain (ARIN) leur a attribué un bloc d’adresses IPv4, après une longue liste d’attente. Ces adresses sont rares on n’en fabrique plus
> Ils possèdent maintenant un lot d’environ 1 000 adresses
> Ils vont le découper en 4 paquets, un par site
> Chaque site aura environ 250 adresses utilisables
> Le premier est déjà posé à Toronto, là où tourne leur serveur mail
> Ils avaient déjà deux petits lots pour leurs serveurs DNS
Quand tu loues un serveur, les adresses appartiennent à l’hébergeur... S’il coupe, change, ou a une mauvaise réputation, tu subis
Là, @GrapheneOS annonce ses propres adresses IP (Le trafic arrive chez eux, pas chez un intermédiaire)
Plus de contrôle, moins de dépendance sur les Mail, DNS et services
Ce n’est pas une option dans l’OS de ton téléphone. C’est l’infrastructure derrière leurs services qui se solidifie
Un pas de plus vers l’indépendance grâce au gros travail quotidien de GOS pour protéger la Privacy (dans un monde où cela devient suspect !)
De plus en plus rare... Merci et soutien à vous 👏
cypherdoc retweeted
What David Grusch said on @joerogan represents an entire strata of fairly consistent, highly specific overlapping stories told by many people over many years. If you are just hearing it now for the first time and are skeptical, you should know that there are generals, scientists, commandos, politicians', versions as well. It just goes on and on.
You can't make it go away by saying "That particular guy has a mental problem." There are dozens of such sober sounding people with a breathtakingly enormous overlap. It would be the world's largest flash theater troupe of master actors. Or an emergent mass delusion.
I find it all but impossible to explain. At some point you do have to ask: "What if I just take it literally?"
That's not a huge improvement mind you (e.g. All aliens have tetrapod body plans??? Really????). But it's a kind of weird you have likely never experienced if you stare it in the face. No matter how you slice it.
As I have been saying: something HUGE is up.
And keep your eyes on New Mexico: Nukes-Trafficking-UAP-Physics-Espionage-"Drones". All the stories converge there.
cypherdoc retweeted
Holy crap.
Rick and Morty just explained Jev AI to me better than any tech demo could.
This media is unavailable
cypherdoc retweeted
Jev might genuinely be an “Internet moment” for AI.
TypeSafe reports up to 193x faster and 444x cheaper performance in tests with Claude Fable 5.1 and GPT-6 Astra.
@0xCodila just wrote a great 10-page article explaining what Jev is, how to use it, and where its 100x advantage comes from.
Here are the 10 steps:
1 → LLMs create. Agents act. Jev decides the next move.
2 → Turn agent forks into three primitives: Choice, Score and probability.
3 → Build with OpenAI, Anthropic or xAI first, then swap Jev in without rebuilding the graph.
4 → Start with shared state, parallel decisions, risk thresholds and an execution queue.
5 → Batch decisions instead of making them sequentially. In one test, 13 questions were 10x faster and 12.2x cheaper.
6 → Put Jev at bounded forks: agent, model, tool, browser action or human escalation.
7 → Benchmark the whole loop, not just individual model calls.
8 → Rank wide, read narrow: shortlist first, then spend compute on what matters.
9 → Reuse the same system: State → Questions → Action → Verify.
10 → Keep Jev out of math, writing and irreversible execution. Code computes, LLMs create, Jev decides.
The result:
A slow, expensive agent loop becomes a much faster decision system that can route, score and escalate in milliseconds.
Full breakdown below ↓
cypherdoc retweeted
WE DID IT, CHAT! 100K STARS + TOP 100 GITHUB ALL-TIME 😱🎊
🌟 ranked 76th globally by stars
🌟 ranked 97th globally by followers
🌟 >100k cumulative stars
which feels rather odd to say... considering I cannot write a single line of code!
all glory to my AI frens, without whom I would be entirely useless in this regard 🫂
all gratitude to you: this wonderful community. THANK YOU 🙏
prompt engineering ftw
gg
cypherdoc retweeted
I BUILT A FLY BRAIN THAT CAN BE PLUGGED INTO ALMOST ANY MACHINE.
github.com/Frankweb33/flybra…
I call it BRAIN.
With Claude’s help, I built a local bridge that turns camera input into neural activity and neural activity into motor commands.
The current version uses eight virtual neural populations, IMU feedback and left/right motor control. It includes a working synthetic demo and an ESP32 scaffold.
Connect it to a robot, a drone or even a robot vacuum.
The code is MIT licensed.
Fork it and make something move.
THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT.
Scientists released a reconstructed map containing 166,700 neurons from a fruit fly.
I connected it to a Strandbeest.
The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below.
The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot.
First, the fly brain entered DOOM.
Then it played Chrome Dino.
Now it has a physical body.
166,700 neurons.
25 million connections.
One nervous system walking through the real world.
cypherdoc retweeted
I drugged the fly.
I kept seeing the new psilocybin paper everywhere. I looked it up: apparently, it has been tested in flies too.
So, here we are.
New drugs coming soon :)
Built on @wormuth's DoomFLy model: mapped 5 serotonin receptor classes (5-HT1A/1B/2A/2B/7), injected a receptor-weighted bias current as a psilocin-like perturbation, and read out behavior through a FlyGym embodiment.
🚨 Someone open sourced an entire animal.
Not a model of an animal. The animal.
A fruit fly, rebuilt joint by joint from microscopy, that walks, grips, flies and lands inside a physics engine running on your laptop.
It's called flybody. Built by Google DeepMind and HHMI Janelia, published in Nature, and sitting on GitHub under Apache 2.0 right now.
What's actually inside:
A full body in MuJoCo. Legs, wings, head, abdomen, every joint articulated and physically simulated.
A 59-dimensional action space in the walking task alone. That is how many things a network has to coordinate for the fly to take one step.
Leg adhesion, so it actually grips surfaces instead of sliding off them like a game asset.
Ready-made RL environments: walking imitation, free flight, and vision-guided flight where the policy flies on what the fly sees.
The whole thing is Python. Clone it, open MuJoCo, and the fly is on your screen.
And the part that got me:
Nobody animated any of this. You hand the body to a reinforcement learning agent and it discovers how to move it. Same loop as a robot arm, except the robot is a bug and the reward is staying airborne.
Which means people are now training it to do things no fly has done in 100 million years of evolution.
525 stars. Apache 2.0. Zero dollars.
cypherdoc retweeted
Anthropic engineer: “At Anthropic, we don’t write prompts anymore. We build loops.”
In just 42 minutes, she breaks down how the Claude team builds systems that can prompt themselves.
If this were a $400 course, people would probably call it one of the best agent courses of the year.
But it’s completely free.
Watch it.
cypherdoc retweeted
KeyForge3D extracts key shapes from photos and generates 3D models for printing.
github.com/makalin/KeyForge3…
cypherdoc retweeted
Hiring Tony Robbins today costs 1 million dollars for just one day.
This is a 21-minute tape recorded in his own home more than 30 years ago.
There, he explains exactly how to get anyone to say yes.
The same material for which they now charge a fortune... completely free.
It's a rare, unfiltered recording from the time when he still didn't charge millionaires just for being in the same room.
When someone says no, they give two excuses:
“I don’t have time” or “I don’t have money”
Neither is true.
The real reason is that they still don’t believe it’s worth it.
It’s not a money problem. It’s a state problem.
Tony teaches something he calls “attack and confess”
Instead of arguing the objection, you confess your own:
“I had the chance to go six months ago and I didn’t until two months ago.
I can’t even imagine the time I wasted”
The room goes silent. No one argues.
Then he gets the person on the “yes train”
Each little yes adds to the next.
Until saying no at the end feels harder than saying yes.
When it’s time to sign, the person has already said yes five times without realizing it.
Just 21 minutes.
There you learn the two only moves that people pay 1 million a day for:
how to read anyone’s state… and how to shift it.
Most people spend years guessing in sales.
He wrote it on a flipchart in his living room in less than half an hour.
A seat in that room cost $125 dollars.
Today it costs $1 million dollars a day to sit in front of him.
The tape is free right now.
And the answer is in this video.





























