Pinned Tweet
Ball balancing robot. 9 months of learning with a senior student. Still have smoothing to do as the jerkyness heats up the TMC2208 stepper drivers until a motor collapses. But amazing work and thanks to @aaedmusayt for the project notes on autodesk instructables.
The project one of my students wants to work on tells me this is all probably true. But who has time to research it all. We are all to busy keeping up with the next fiat print.
Joshua Michael found an access token on Flock's public website.
No login required. No authentication. Just sitting there.
He downloaded Flock's entire database. 300,000 device locations. 170,000 cameras. 130,000 other hardware units. 27,000 acoustic detectors.
Made a map. Published it September 23.
The Senate held a hearing on Flock the same day. Cited Michael's research.
Flock panicked.
Sent a cease-and-desist. Used a brand-protection vendor called Doppel to claim trademark infringement.
The map said it wasn't affiliated with Flock. Doppel didn't care.
Michael's site went dark.
Then Proton moved it to Swiss servers.
Now it lives on protonmcp.org. Untouchable. Uncensorable. Hosted by an encryption company in a country that doesn't care what Flock wants.
The irony is crystalline.
Flock left an access token on the internet. Michael used it to download their own data. Published it. Flock tried to suppress it.
Proton said suppressing it is suppressing information.
Which is true.
The map shows Flock has 150,000 more cameras than they publicly claimed.
Shows acoustic detection units mapping human speech across the country.
Shows which police departments have access to the whole network.
Flock doesn't want that visible.
So they tried trademark infringement.
Which only worked until Proton decided transparency matters more than Flock's feelings.
Now everyone can see exactly how many cameras are watching their car. Where they are. Which cops can see them.
Michael warned Flock about the exposed token in November 2025.
Flock ignored him.
Then got mad when he used it.
The surveillance company that claims to protect privacy just tried to suppress the only map showing how much they actually surveille.
And failed.
Readers added context they thought people might want to know
This is the correct link: proton.me/flock-camera-m…
People are using Claude Code and Codex to strip the spyware out of their smart TVs, and it's beautiful.
Jake Stevens removed all of Samsung's tracking from his TV with Codex.
His list of what he switched off reads like a confession the TV makers never meant to give: screenshots of your screen a few times a second to fingerprint what you're streaming, reading your HDMI inputs to do the same thing while you have a game console plugged in, and Bixby wake-word detectors.
He says the TV runs three times faster with the junk gone.
The tracking at the center of this is called automatic content recognition, or ACR. Texas AG Ken Paxton sued Sony, Samsung, LG, Hisense and TCL last December, alleging the software can capture screenshots of your TV display every 500 milliseconds and transmit that data back without your knowledge or consent. The companies then sell it to target ads.
A 2024 study found ACR works even when the smart TV is used as a dumb external display, meaning the game console or laptop you plug in over HDMI gets tracked too. You paid for a screen, and they shipped you a sensor that reports what you watch in your own living room.
Now AI is handing regular people the tools to rip it out. Own your stuff, verify it yourself, and don't trust anyone who profits from watching you.
searching4math retweeted
That's genuinely insane! 🤯
An AI agent built a physics twin of a robot task from a phone video in under an hour.
This project RoboSimStudio was built on Newton by researchers from UC Berkeley and NVIDIA Robotics.
Open toolkit, every physics parameter exposed as something a human can slide or an agent can edit.
The demo is a bimanual setup, one arm holding a bar, the other wiping a marker stripe off it with a foam sponge. Input was a smartphone video.
What's more important no CAD, and no calibrated cameras. Claude and GPT-6 Astra each built a simulation of it independently. One finished in 56 minutes.
Then they ran it on the real robot and the bar support moved. In simulation it had been modelled as fixed, so the sponge kept contact. In reality it shifted and contact was lost.
The agent went back and replaced the fixed constraint with a free rigid body. The revised simulation then reproduced the tipping the original could not.
That is the loop actually closing. The real world found the modelling error and the fix went back into the twin.
🔗 Check the project here: lnkd.in/dgXJxAhw
~~
♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
searching4math retweeted
We've designed a custom stratospheric balloon platform weighing just under 10 g. anyone can build and launch one by following the docs stratolink.org
searching4math retweeted
Dark matter was always wrong. We live in an electromagnetic medium aka Aether.
The U.S. government already solved physics with high energy nuclear explosions, it's just been classified.
All the Universities in the world combined can't compare to the Department of Energy labs.
That's why academia is so far behind the curve.
Anthony Peratt, U.S. Nuclear Weapons Expert
searching4math retweeted
A Drone With Only One Motor!
And a 3D-printed propeller. And somehow, it still manages to fly.
The really interesting part is how you control it.
By accelerating and decelerating the motor more than 300 times per second, you can control the drone's thrust, pitch, and roll.
The propeller spins at almost 20,000 RPM, with its tips approaching half the speed of sound.
Getting this to work required custom firmware, a homemade high-speed imaging setup to study the blades, and hundreds of crashes.
I've been sharing Joshua Bird's videos for quite a while now. I just love the things he comes up with and how much effort he puts into making them work.
We're also going to talk about a few other projects he's currently working on. More on that soon!
And if you want to take a closer look at how he built this thing, he's made the code and CAD files open source.
github.com/jyjblrd/single-pr…
Full YouTube video:
youtu.be/Ndftcft6XhU?si=19rA…
——
Weekly robotics and AI insights.
Subscribe free: 22astronauts.com
searching4math retweeted
Someone built a Claude Code for electronics 🤯
It’s called Blueprint. Describe your Arduino or Raspberry Pi project and get:
- Wiring diagrams
- A list of parts
- Step-by-step assembly instructions
From an idea to a build you can follow.
100% free.
searching4math retweeted
Are we in a Limitless scenario, or is it something else?
June 10. Anthropic drops Fable. Problems I’d been stuck on for weeks, some for months, all solved in one day. My legs were shaking. The next day it already felt normal.
Two days later, access is cut worldwide and I’m back to the old AI. I stop working, there’s no point. Twenty days later it’s back. No shock this time. Normal.
Sept 12. I try OpenAI’s Astra. It eats two simulations that should take weeks over breakfast. So I ask for more: take over my computer, open the 3D software, have fun.
It comes back with MOSS. A crazy robot. It even picked the name.
Since then my AIs do everything. I talk into a mic all day and run a team of metal boxes connected to the internet.
Four months in: 7 partnerships with startups, a viral moment, grants coming in, lots of people making suggestions and willing to help. I’m finally a real maker. And I’m tired. 12-hour days, 3 days off a month.
What bugs me is that all I do now is make decisions. Decision models like JEV exist. Send them everything above 80% confidence (most come out at 99%) and I only get what’s left.
So do we use AI, or do we just go with the flow of what it suggests?
I’m fine with it as long as the ideas are good. I’d rather stay at my workbench.
But where’s the line?
searching4math retweeted
World's First Cyclorotor Aircraft Achieves Successful Takeoff
by @spaceandtech_
#Aviation #EmergingTech #Technology #Innovation
searching4math retweeted
Hardware looks scary until you break it down into small steps. So I built an app that takes you through Arduino one circuit at a time.
Made with Opus 5.5
learn-arduino-red.vercel.app
searching4math retweeted
My most detailed look at Saturn to date, but it will get much better once atmospheric conditions improve.
This is also my best look at the strange spokes that appear on the rings.
searching4math retweeted
TESLA SAW A FUTURE THAT SOUNDED LIKE A NIGHTMARE
In 1898, Nikola Tesla stood inside Madison Square Garden and demonstrated something that looked almost like magic. A small boat moved across the water without anyone sitting inside it. No wires connected it to Tesla. No sailor was controlling it from the boat. Tesla was controlling it remotely using radio signals — a technology so unusual at the time that many people struggled to understand what they were seeing.
But then the demonstration took a darker turn.
According to the story, a military observer suggested that Tesla's remote-controlled boat could be loaded with explosives and sent toward enemy ships. The idea was chillingly simple: a machine could enter a battlefield, carry a weapon, and be controlled from a safe distance.
Tesla reportedly responded with a warning that would become famous decades later: “You may live to see man-made horrors beyond your comprehension.”
Whether Tesla actually said those exact words is still uncertain. The quote was not documented in a known contemporary account. The earliest widely cited written version appeared in an Esquire profile published in 1947 — four years after Tesla's death and nearly half a century after the alleged conversation.
Yet the larger story is unquestionably real.
Tesla understood that remote control could transform warfare as well as civilian technology. His 1898 demonstration showed that a machine could receive commands wirelessly and carry them out without a human being physically onboard.
More than a century later, that idea is everywhere.
Drones can fly without pilots sitting inside them. Robotic vehicles can enter dangerous environments. Guided weapons can be operated from far away. Machines can now move, navigate and perform complex tasks while their human operators remain at a distance.
Tesla wasn't predicting modern drones or autonomous robots specifically. But he had already recognized something deeply unsettling about the technology: once humans can control machines from a distance, the possibilities are not all peaceful.
And perhaps that's why the story of that little boat in Madison Square Garden has survived for more than a century.
It wasn't just a demonstration of a new invention.
It was an early glimpse of a future in which humans could send machines where they themselves would never dare to go.
Source: Esquire archives; Quote Investigator
searching4math retweeted
The Federation of American Scientists tracks secrecy orders every year. Here are the numbers:
2006: 4,942
2010: 5,135
2017: 5,784
2020: 5,911
2023: 6,312
2025: 6,543
It never goes down. Every single year there are more classified inventions than the year before.
Either Americans keep accidentally inventing things that threaten national security, or the definition of 'national security' keeps expanding to cover things they don't want you to have.























