Removed all of the samsung spyware from my TV with Codex (Claude refused to root the tv lol) It's insane how much bloat samsung packs into their TVs to track you and sell your data. Here's just some of what I turned off that made my tv 3x faster: - screenshot your screen a few times a second to see what you're streaming and fingerprint you to sell your data - reading your hdmi inputs to do the same thing while you have a game console plugged in - Voice assistants: Bixby wake-word detectors listening and tracking what you say in your house Before and after speed of my TV:

Claude Code found spyware on my sister’s phone. It had been tracking her for 11 weeks… She asked me to check her phone. Someone always seemed to know where she was and she couldn’t figure out how I plugged it into Claude Code and asked what’s running that she never installed. It walked every app, including the hidden ones, and flagged one disguised as “System Service”, no icon, not on any store It had been there 11 weeks, logging her location every 2 minutes. Claude pulled the details on whoever was running it: reports to → +1 (415) *** **72 carrier → T-Mobile US device id → IMEI 35 ********** 47 last ping it sent → 40.7**, -73.9** · 2 min ago We saved everything the app had recorded and passed it to the people who do this professionally. Then Claude shut it down and wiped it off her phone The full step-by-step is below, takes 5 minutes. Save it so you don't lose it, and send it to anyone who might need it

WHOEVER LEAKED THIS HAS BIGGER BALLS THAN SENSE i thought AI trading was mostly about finding good strategies, then i paired CLAUDE OPUS 5.5 with MINARA AI. → Opus scans the market and proposes strategies → Minara pulls in live data and fee-aware backtests → every idea passes risk + stress tests → paper trading comes before going live → Minara’s 24/7 Autopilot only trades after approval then everything gets reviewed nightly instead of just letting the agent run wild. the interesting part isn’t AI trading by itself. it’s having one AI reason about the strategy while another system handles the data, execution, risk, and validation.

claude code just reverse-engineered my hotel room's door lock in 90 seconds. the encryption is from 2014. the same protocol controls the smoke detector in the top right corner - that red light isn't a battery indicator. it blinked twice when i ran the scan. i'm lying in a $85/night hotel room right now. opened claude code and typed: "scan every bluetooth and wireless device in range. show me what's talking to what." it found 19 wireless devices. 18 were normal. device 19: a BLE controller running an unpatched firmware from 2014. it manages the electronic door lock, the smoke detector, the thermostat, and the room safe. all four on one controller. one protocol. zero updates in 10 years. i asked claude code to analyze the protocol. it took 90 seconds. the lock uses a 4-byte rolling key with no session tokens. claude code generated a valid master key on the third attempt. i heard my door click from the bed. then it found the smoke detector is on the same bus. the red light in the photo? that's the controller's status LED. it's not monitoring smoke. it's confirming the BLE handshake with the lock system every 8 seconds. that means anyone within bluetooth range - the hallway, the room next door, the parking lot - with one prompt and 90 seconds can: 1. unlock your door 2. disable the room alarm 3. open your safe 4. and the smoke detector confirms the connection with that little red blink the check takes 2 minutes: step 1 → open claude code → paste the prompt from the first comment step 2 → it scans every BLE device in range and flags unpatched firmware step 3 → if it finds one → request a room change → ask for a room with a physical deadbolt → and use it every hotel chain running ASSA ABLOY or Onity locks from before 2018 has this. that's roughly 30% of hotels worldwide. i tested 3 hotels this month. all 3 vulnerable. look at the photo. top right. that red dot blinking every 8 seconds. that's the handshake. save the prompt. next hotel you check into → run it before you unpack.

A PAINTER BOUGHT ONE ROBOT FOR $28K. IT ROLLED 15 APARTMENTS LAST MONTH AND HE BANKED $49,000. One human paints a flat in two days. The robot does it in a night even coat, clean edges, no drips, no "we'll come back for the second coat." Then it moves to the next unit while he sleeps. He still quotes $750 a room like every painter in town. The client pays the same. Difference is there's no crew to split it with no wages, just the paint and the power. The $37K came back in three weeks. Painting was supposed to be too fiddly to automate. Turns out fiddly was never the problem finding someone who'd buy the machine first was.

TESLA JUST RIPPED OUT THE MODEL S LINE IT BUILT FOR 15 YEARS AND REPLACED IT WITH HUMANOID ROBOTS THAT COST $40,000 EACH. Three of them are standing at the end of the aisle. Matte black. No hard hat. No badge. One steps forward, grabs a steel cart twice its size, and pushes it down the floor to the next station. No remote. No operator. The same AI that powers Full Self-Driving now controls the legs. Everyone said humanoid robots were just a gimmick. A stage trick from AI Day with a guy in a bodysuit. That was 2021. Now there are over 1,000 of them at Fremont and Giga Texas. Sorting battery cells. Kitting parts. Moving racks. No overtime. No comp claims. No shift changes. The Fremont lines were torn down in 47 days. What went up in their place is a production line designed to build 1 million robots a year. A California factory worker costs $49/hour fully loaded. This thing pays for itself in a single quarter. The line doesn’t care who works on it.

That's the wrong thing to watch. Boston Dynamics didn't post this to show what Atlas can do. They posted it because the Atlas research program is done. The enterprise version is already on the floor doing real work. This is a farewell lap, not a reveal. → they called it "one last run in the sun," not a capability announcement → the RAI Institute collaboration was about squeezing out the final data, not setting up a next version → a research program ends when the product stops needing it A research robot isn't retired because it failed. It's retired because the commercial version outgrew the lab. The experiment is over. The deployment has already begun.

A PAINTER BOUGHT ONE ROBOT FOR $26K. LAST MONTH IT PAINTED 14 APARTMENTS AND HE BANKED $38,000. A human takes two days to paint a flat. The robot does it in one night: even coats, clean edges, no drips, no "we'll be back for the second coat." Then it moves to the next unit while he sleeps. He still quotes $600 a room, like every painter in town. The client pays the same. The difference is there's no crew to split it with. No wages, just paint and power. The $26K paid for itself in three weeks. Painting was supposed to be too fiddly to automate. Turns out fiddly was never the problem. The problem was finding someone willing to buy the machine first.

A $145,000 ROBOT WOMAN THAT LOOKS HUMAN — AND THIS IS ONLY THE BEGINNING. At first glance, you’d swear she’s human. Realistic skin. Moving eyes. Facial expressions. An AI that can hold a conversation. Then you discover what’s underneath. Motors control her face. Sensors track the environment. AI processes conversations and generates responses. This isn’t science fiction anymore. In 2026, some advanced humanoid robots cost over $100,000, while simpler models start below $15,000. The difference? Most cheaper robots don’t look or behave like realistic humans. And prices could change dramatically as production scales. Think about the economics. A machine doesn’t need a traditional salary. It can receive software upgrades, and its capabilities could improve over time. But realistic appearance doesn’t mean human-level intelligence, genuine emotions, or independent operation. The real question is how quickly those limitations disappear. Imagine what these robots could look like in 2036. More realistic faces. Natural conversations. Better memory. Expressions almost indistinguishable from our own. And potentially, a much lower price. $145,000 TODAY. WHAT WILL THE PRICE BE IN 10 YEARS? Would you trust a robot that looks exactly like a human? 🤖💸

A ROBOT JUST DID SOMETHING THAT COULD CHANGE THE FUTURE OF CONSTRUCTION FOREVER. It picks up a heavy building component, carries it across the site, aligns it with millimeter-level precision, and places it exactly where it belongs. No crane operator controlling every movement. No human carrying materials back and forth. Just a machine executing the job. For decades, construction has been one of the hardest industries to automate. Every site is different. Objects are unpredictable. Surfaces change. One small mistake can delay an entire project. Robotics companies are now attacking that problem head-on. The goal isn’t just to build a robot that can lift heavy objects. It’s to build one that can understand its surroundings, adapt to changing conditions, and perform useful work alongside existing equipment. And here’s where things get interesting. A construction company doesn’t need a robot to replace every worker to make money from it. If a machine can handle repetitive material transport, inspections, or other time-consuming tasks, the savings could add up across hundreds of projects. Now imagine fleets of these machines operating across multiple construction sites. The same technology. The same software. Thousands of hours of work. Construction has spent decades trying to make buildings cheaper and faster to produce. Robotics could become one of the biggest tools for achieving that goal. THE NEXT GENERATION OF BUILDERS MIGHT NOT BE HUMAN.

CHINA JUST BUILT A ROBOT THAT CAN WORK 24/7 — AND IT DOESN’T NEED A BREAK, A PAYCHECK, OR A WEEKEND. At first glance, it looks like a regular factory worker. Then you notice something strange. Nobody is supervising it. The robot picks up a component, scans it, assembles it, and moves it to the next station. Every movement is calculated. Every mistake becomes training data. No coffee breaks. No shift changes. No calling in sick. For decades, automation meant expensive machines locked behind safety fences, doing one task over and over again. Humanoid robots change the equation. They’re designed to operate in environments built for humans — using tools, navigating workspaces, and handling tasks that once required an entire team. And the cost is falling. Companies are racing to turn these machines from impressive prototypes into commercially viable workers. The real breakthrough isn’t that a robot can walk or pick up a box. It’s that one day, businesses could deploy thousands of them without redesigning their entire infrastructure. Think about what that means. Factories. Warehouses. Logistics. Manufacturing. Entire industries built around the cost of human labor could face a fundamental shift. The companies that master robotic labor early could gain an advantage that competitors struggle to match. Because the next industrial revolution won’t just automate what people do. IT WILL CHANGE WHAT HUMAN LABOR IS WORTH.

TESLA JUST SHUT DOWN THE MODEL S PRODUCTION LINE IT RAN FOR 14 YEARS — AND IS REPLACING IT WITH $30,000 HUMANOID ROBOTS. Three robots stand at the end of the aisle. Matte black. No hard hats. No employee badges. One steps forward, grabs a steel cart twice its size, and pushes it across the factory floor. No remote control. No human operator. Just AI — the same technology behind Tesla’s Full Self-Driving system — now controlling a humanoid body. People once called humanoid robots a gimmick. A stage stunt from Tesla’s AI Day, featuring a guy in a costume. That was 2021. Now Tesla is betting on a future where robots handle repetitive factory tasks: sorting battery cells, delivering parts, moving equipment, and working around the clock. No overtime. No shift rotations. No traditional labor costs. The Model S production line at Fremont is being repurposed as Tesla shifts its focus toward robotics and large-scale automation. The long-term target? A factory capable of producing up to 1 million humanoid robots annually. A California factory worker can cost an employer $55/hour or more when benefits and other expenses are included. A robot doesn’t need a salary, paid leave, or a retirement plan. The real question isn’t whether robots can replace factory workers. It’s how quickly the economics make it impossible to ignore. THE FACTORY OF THE FUTURE WON’T JUST BUILD PRODUCTS. IT’LL BUILD THE WORKFORCE.

OPTIMUS JUMPED FROM A HELICOPTER AT 4000 METERS WITH NO INSTRUCTOR NEXT TO IT Tesla showed the humanoid in free fall Not a marketing stunt but a test of full autonomous coordination mid air ▸ exiting the helicopter with no harness backup and no second of hesitation ▸ controlled acrobatics in airflow where one degree of tilt changes the whole trajectory ▸ chute opens and the body hangs stable under the canopy with zero jerk A skydiver trains for years so the body reads the airflow on instinct The robot gets that same skill through a model that can be copied onto a thousand other frames This is not about walking across a lab floor anymore This is about a system that does not panic with four kilometers of air under its feet

THE TESLA ROADSTER JUST FLEW. AND IT'S NOT EVEN THE CRAZIEST PART. Last night Elon Musk unveiled the new Roadster, and Tesla didn't do a spec sheet. They did a stunt. The car drove up a curved ramp until it was hanging upside down. Then it launched off the top, flipped, landed on cold-gas thrusters, and hopped over a Model 3, Model Y, Cybertruck, Semi and Cybercab. Now the numbers (all Tesla's claims, not independently verified): Rocket: 0-60 mph in under 0.59 seconds, 230+ mph top speed, 300+ miles of range, 1 seat Thrust: under 0.9 seconds, 2 seats, rear cold-gas thrusters Performance: under 1.6 seconds, 2 seats, road ready Even the "slow" version out-accelerates almost anything you can legally drive today.

A 20 YEAR OLD MIT STUDENT JUST PUT HIS AI ROBOT TO WORK IN AN AUSTRALIAN TOUR COMPANY - THEN IT ENCOUNTERED A KANGAROO ATTACKING A DOG. The student reportedly built the robot with help from Anthropic and decided to test it in the real world instead of a controlled lab. During a tour, the robot suddenly noticed a kangaroo grabbing a dog and moved toward the situation. No script. No controlled environment. Just a completely unpredictable real world interaction. The robot had to perceive what was happening, react to the animals and physically navigate the chaos in real time. This is what Physical AI looks like when the demo ends and the real world starts. The crazy part? A 20 year old is already putting an AI humanoid into an actual tourism business. AI isn't just learning to think anymore. It's learning to operate in the physical world.