đ¤ Building tomorrow, one circuit at a time | AI ⢠Robotics ⢠Future Tech
New York, USA
Joined May 2010
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Akwa Robots retweeted
Nobody wants to say this out loud.
$BTC just dropped from $81K to $75K. Down 6% in a single day.
Timeline is full of "it's over" posts. Same energy as every other dip.
Every crash feels like the end while you are inside it. Every single one.
Save this post. Read it again in 6 months.
THIS ROBOT IS SORTING PACKAGES WITH A LINE OF BOXES STACKING UP AND ZERO PANIC
Expo booth in Shenzhen, a conveyor belt running wild, and a humanoid standing at it grabbing parcels one by one like it's the last hour of a double shift. Boxes come in all sizes, there's a soft poly bag in the mix, a few pile up against each other and it just keeps reaching, flipping and pushing them down the line. The booth guy in the back isn't even watching, he's just standing there like this is normal now. Parcel sorting is the dirtiest, most repetitive job in logistics and these hands are getting good enough to take it. Bags and crooked boxes are the real test, not the neat ones
Akwa Robots retweeted
BRO, SOMEONE REALLY IMAGINED A MACHINE THAT FIGHTS THUNDERSTORMS đâĄ
An AI-generated Tesla cannon firing massive bolts of electricity straight into the night sky.
Imagine looking out your window at 3 AM and seeing THIS đ
This looks like a final boss weapon from a sci-fi movie
Akwa Robots retweeted
AT 63, HE HAD NO ENGINEERING DEGREE, NO ROBOTICS TEAM AND NO MILLION-DOLLAR LAB. HE SPENT 8 YEARS AND HUNDREDS OF ATTEMPTS BUILDING A ROBOT THAT COULD DANCE LIKE A HUMAN!
His name was Li Zuchen, a retired mechanic from northeastern China. The idea came to him during an ordinary shopping trip: he saw mannequins displaying clothes and wondered why they couldn't move like real people. Most people would have forgotten the idea. Li decided to build one himself.
He taught himself programming, computer technology and microcontrollers, spending entire days studying in bookstores and online forums. What he initially expected to finish in 1-2 years turned into an 8-year engineering obsession.
In 2015, he finally unveiled his creation: a 1.7-meter humanoid mannequin with a long wig, realistic proportions and surprisingly flexible joints. It could perform more than 10 different dances, move its arms, waist and legs, strike fashion poses and even spin around to music.
The most incredible detail? Li didn't just build a robot that could wave its arms. He specifically engineered its waist and lower body to move naturally, something he believed competing mannequin robots struggled to achieve.
He once described the machine as the daughter he had built for himself. While the world was waiting for billion-dollar robotics companies to create the future, a 63-year-old retired mechanic had spent 8 years proving that one person's obsession could bring an impossible idea to life.
HIS FIRST PLAN WAS TO BUILD A MOVING MANNEQUIN. EIGHT YEARS LATER, HE HAD CREATED SOMETHING THAT COULD DANCE.
Akwa Robots retweeted
OPTIMUS IN ATLANTA: AN $8,000 SESSION AND ONE F*CKING CONTRACT CLAUSE
A dancer agreed to record movements for a robot after being told it was an internal test that would stay on an engineerâs computer.
A month later, a friend sent him a runway clip of Optimus dropping to its knees and leaning back to Sean Paul exactly as he had.
He replayed it several times, then pulled out the contract that allowed his movements to be used with no time limit or restriction on performances.
What bothered him most wasnât the money, but the comments praising the robotâs fluidity and asking who taught a machine to feel music like that.
He posted his rehearsal beside the clip and wrote that the humanâs name somehow turned out to be the only detail they forgot to transfer.
Does a one-time payment buy the right to erase your name forever?
Akwa Robots retweeted
đ¨THE TWENTY DOLLAR CHATGPT SUBSCRIPTION WAS JUST A SMOKESCREEN
AND OPENAI REVENUE QUIETLY FLIPPED TO WALL STREET ENTERPRISE CYBER DEFENSE
Greg Brockman just confirmed OpenAI revenue officially inverted from seventy percent consumer chat subscriptions to majority enterprise contracts
The anchor deal is an unannounced partnership with JPMorgan Chase deploying Codex and autonomous cyber models to protect four trillion dollars in banking assets
While retail users argue over chatbot tone the most conservative bank on Wall Street is handing its security perimeter to frontier reinforcement learning
If you are still building consumer prompt wrappers you missed the rotation Frontier compute is no longer funded by consumer curiosity but by enterprise balance sheets locking down critical infrastructure
When the world largest bank trusts autonomous models more than human security teams what does your SaaS security moat actually protect?
ROBOTS LEARN TO STACK BOXES IN SIMULATION BEFORE THEY EVER TOUCH A REAL ONE
Ambi Robotics put out a promo for AmbiStack and the part that got me is how they train it. The robot runs through a ridiculous number of pallets in a simulated warehouse first, and the company claims that's 10,000x faster than learning the slow way on a real floor. Then the same brain goes into an actual building and starts stacking real cartons without anyone babysitting it. The sim gets the reps, the real warehouse gets the finished worker. Which is probably why peak season stops sounding scary when you can test a thousand bad days before the real one shows up. The first half of this clip is my own cartoon version of the idea, the second half is the real thing
Akwa Robots retweeted
An employee asks, "What am I responsible for?"
An owner asks, "What happens if nobody takes responsibility?"
The second question changes how you see a business.
Akwa Robots retweeted
6 million people watched a bird pull a worm out of a leopard's eye.
The leopard doesn't flinch. Doesn't blink. Just lies there while a bird the size of its nose reaches into its eye socket and drags out something alive.
Here's what's strange.
Eye parasites in big cats are real. They're called Thelazia, spread by flies that feed on tears, and they live under the eyelid. But they're 1 to 2 centimeters long and almost transparent.
What comes out in this video looks like a fat, segmented larva.
Birds that clean animals are real too. Oxpeckers spend their lives on buffalo and giraffes eating ticks. But they stay away from predators. A leopard would kill one before it got near its face.
And in this clip it happens twice. Two different cats. Two different birds. Same eye. Same worm.
Either this is the rarest footage in wildlife history, or 6 million people just watched something that never happened.
@grok is this real?
Akwa Robots retweeted
Memecoin trading has reached the point where the pitch is literally: yes, the game is rigged, so just copy the insiders.
This guy shows wallets printing six and seven figures, then says you can follow them, get alerts on every buy and sell, and replicate the trades.
Thatâs either the smartest retail edge in the trenches or just a faster way to become someone elseâs exit liquidity.
Akwa Robots retweeted
Democrats are preparing an investigation into the crypto-business of Trump and his family - Bloomberg against this background Trump Media transferred 4,259 BTC worth about $ 344 million to the Crypto Com exchange. This may indicate preparation for the sale of some bitcoins of the company.
Akwa Robots retweeted
My Claude Code setup in my head vs in real life
In my head: a 14-day schedule, lead scoring, a pipeline that rates every post for "viral_fit", all of it running on $0.42
In real life: one terminal tab and a CLAUDE.md I keep forgetting to update
Who here actually has the dashboard?
Akwa Robots retweeted
Jennifer Pan's father woke up from a coma after being shot in the face. The first thing he told police was that his own daughter was standing with the gunmen. Calm. Talking. Not tied up. She had hired them to kill both parents for $10,000.
On November 8, 2010, three men broke into the Pan family home in Markham, Ontario. Jennifer called 911 and said armed strangers tied her to a banister and shot her parents. Her mother Bich was killed. Her father Hann took a bullet to the face.
Police almost believed her. She cried in every interview, thanked the officers, played the perfect victim. She changed her story when the facts stopped matching. First she was a hostage. Then she said she hired the men to kill herself, not her parents. Detectives didn't buy it.
Small things gave her away. She was tied up yet somehow called 911 from her phone. Valuables were left untouched. A wallet full of cash, a watch, a camera in the safe. Nobody took anything.
They brought her in three times. By the third interview she broke. She admitted she hired the men through her boyfriend Daniel Wong, a drug dealer she had been dating in secret for 6 years.
Jennifer had been lying to her parents for 4 years. Told them she was in university studying to be a pharmacist. She never enrolled. When they found out and banned her boyfriend, she paid strangers to end their lives.
She was an award-winning pianist from age 4. Her parents believed she had a future. She built a fake life and hired hitmen instead.
Found guilty of first-degree murder and attempted murder. Life in prison with no parole for 25 years. Wong and two hitmen got the same sentence.
Her own father survived a bullet to the face and put her away. Would you testify against your child if they tried to kill you?
Akwa Robots retweeted
$2.3 billion in crypto profits. Now Congress wants answers.
Reuters estimated the Trump family made at least $2.3 billion from its major crypto ventures through April 2026. Democrats take control of both chambers in January, and senior lawmakers plan to investigate the family's business dealings. Rep. Robert Garcia's message: âLawyer up.â
A firm tied to the UAE reportedly paid $500 million for 49% of World Liberty Financial, the company behind USD1. Separately, a UAE fund used that stablecoin for a $2 billion investment in Binance. Trump later pardoned Binance founder Changpeng Zhao.
The White House denies wrongdoing. The CLARITY Act was already blocked in the Senate over concerns including conflicts of interest. For crypto, the next political fight is about who writes the rules and whose business interests come under scrutiny.
Akwa Robots retweeted
A viral clip says Claude Opus 5.5 taught drones to hunt people. Its own telemetry says otherwiseđł
Look at the chart legends: âSUPER commandedâ, a person labeled âwalkerâ, flight mode âOffboardâ. SUPER is an open-source LiDAR drone project from the University of Hong Kong. Purdueâs 44-second forest demo, posted Oct 23 as built from scratch, shows the same kind of overlay, and DroneXL noticed it names SUPER too.
What the viral post gets wrong:
âHeat mapâ is a color-coded 3D LiDAR map, not thermal
âFPV hunterâ is a research quadcopter on a person-following task
âClaude trained itâ: I found no source for that
The real Claude and drones story: Andon Labs built Drone-Bench, based on its Project Pilot work with Anthropic. Models write code that makes a cheap drone find and follow a person.
They donât train or fly anything. Opus 5.5 topped it at launch
The honest worry is dual use. Person-following is a search-and-rescue demo and a surveillance demo at once.
Video: as circulated, original source unknown
Akwa Robots retweeted
THIS ROBOT DOESNâT CLEAR THE MINE. IT WALKS INTO IT AND DETONATES IT WITH ITS OWN BODY.
Read that again.
A carrier vehicle opens up. Two machines with spider legs crawl out into open ground. Red sensors glowing. Zero hesitation
They move directly toward the minefield. Step by step. Into the kill zone
Then the blast hits. Dust, fire, shrapnel everywhere. The machine absorbs what would have torn a person apart
On screen: Demining Robots Evaluation
For 80 years, the only way to clear a minefield was a human crawling on their stomach with a stick and a prayer. 60 people a month still die doing it
More than 100 million mines sit buried across 60 countries. Some were planted before the people living above them were born
Physical AI doesnât need to think. It doesnât need to feel. It just needs to walk where no person should
Would you send a machine to die a thousand times if it meant never asking a human to do it once?
Akwa Robots retweeted
IT JUST TOOK A 20 MM ROUND TO THE CHEST. IT DID NOT BACK UP.
Watch the sparks.
A humanoid frame stands alone in open desert. No cover. No retreat.
Then the impacts land. Flash, fragments, smoke across the torso.
The machine stays upright. Scorch marks. Dents. That is all.
On screen: 20 MM Ammo Resistance Test.
A person standing there would be a casualty. This is a data point.
Every hit shows engineers what to reinforce next. No funeral. No letter home. Just a better build.
Physical AI does not need to look human to matter. It needs to take the hit so a human never has to.
Which would you rather see in the line of fire: a machine or a person?
Akwa Robots retweeted
THIS ROBOT DOES NOT AVOID THE MINE. IT SETS IT OFF ON PURPOSE.
Read that again.
A tracked carrier drops its ramp. Two spider legged machines walk out into the dust.
They head straight for the ground that kills people.
Then the field erupts. Dirt, smoke, a shockwave rolling across the range.
Nobody was standing there. The machine chose to trigger it, so a human never has to.
On screen: Demining Robots Evaluation.
For decades, clearing a minefield meant a person on their knees, moving an inch at a time, hoping. Here the risk goes to something that can be rebuilt.
Physical AI does not have to be human. It has to be expendable where we are not.
Would you send a robot to do the job you would never send a person to do?
Akwa Robots retweeted
SHE WINCES WHILE THEY FIX HER JAW. THEN SHE SMILES WHEN THEY'RE DONE.
Watch the hands. They're working on the glowing part under her chin, her eye squeezes shut, and they let go right away. When they come back, they hold her neck from both sides like it might break. She closes her eyes and smiles.
The face is training the technician.
A wince makes the person with the tools slow down. A smile tells them they did it right. Nobody had to write a safety manual for that. The face handles it.
Optimus has reportedly logged 500,000 hours of training data, and a lot of data like that gets made with people working right next to the machine. Hundreds of robots a week are reportedly coming off the Fremont line. Give every one of them a face that flinches, and every person near them gets gentler without being told.
Should a robot be allowed to look like it's in pain? Yes or no.
â ď¸ WHAT IF A ROBOT CAN WIN YOU OVER WITHOUT MOVING A MUSCLE? THE HUMAN DOES ALL THE WORK IN THIS CLIP AND THE ROBOT GETS THE KISS.
Watch who does the work.
Different people, same move. They lean in, eyes shut, a hand on a chest, a neck, a waist. The robot stays exactly where it is with its light on. Peak customer service: stand still, look good, get kissed.
The man in the black hoodie at the end is so committed he doesn't notice it hasn't done a thing.
A ROBOT PEOPLE LIKE GETS MORE HOURS TO FAIL IN.
Hundreds of robots a week are reportedly coming off the Fremont line, and they still can't generalise. Tesla has acknowledged that much of what you see in demos is scripted or remotely operated. A machine like that is going to drop things.
We forgive what we like. A clumsy robot people like gets another try. A clumsy robot people don't like gets sent back.
Optimus has reportedly passed 500,000 hours of training data, with a goal to roughly double that by year end. Every forgiven mistake is another hour on the floor.
My read: for a machine that can't generalise yet, being likable might be worth more than the next hardware upgrade.
So what should Tesla spend more on: making Optimus better, or making it easy to love?
Akwa Robots retweeted
A man at a tech expo tests the touch sensors on a highly realistic humanoid, with the platform responding to pressure on its lips and describing what it detects.
Realistic skin, sensors, and short scripted exchanges are improving quickly. The harder part is still turning that into reliable, unsupervised work over longer periods without an operator nearby.
Appearance and basic interaction can look convincing in a short clip. Sustained autonomous tasks remain the bigger test.
#AI #Robotics #HumanoidRobots #PhysicalAI #Automation #EmergingTech
