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Joined September 2025
Robtimus retweeted
IN 2012 BERKELEY PROVED A LIZARD'S TAIL CAN SAVE A ROBOT IN MID AIR AND STILL NOT A SINGLE HUMANOID HAS ONE → lizards swing their tail mid jump to level their body without touching the ground Berkeley engineers copied it on a small robot called Tailbot and it stopped flipping in flight a tail is the cheapest stabilizer there is: one motor and the robot controls how its body rotates → humanoids balance only with legs and arms, so after a push they always need a step a tail would catch the fall before landing, but it adds weight at the back, another actuator and a zone where it can hit a person a swinging tail next to a kid is a whole separate certification problem → so tails will show up on robots that don't need to look human: quadrupeds for ruins, mountains and rescue work humanoids will keep the human shape because they'll work in human rooms and creatures with tails and claws will live in labs behind glass for a long time lizards have known this trick for millions of years, science wrote it down in 2012
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IN 2012 BERKELEY PROVED A LIZARD'S TAIL CAN SAVE A ROBOT IN MID AIR AND STILL NOT A SINGLE HUMANOID HAS ONE → lizards swing their tail mid jump to level their body without touching the ground Berkeley engineers copied it on a small robot called Tailbot and it stopped flipping in flight a tail is the cheapest stabilizer there is: one motor and the robot controls how its body rotates → humanoids balance only with legs and arms, so after a push they always need a step a tail would catch the fall before landing, but it adds weight at the back, another actuator and a zone where it can hit a person a swinging tail next to a kid is a whole separate certification problem → so tails will show up on robots that don't need to look human: quadrupeds for ruins, mountains and rescue work humanoids will keep the human shape because they'll work in human rooms and creatures with tails and claws will live in labs behind glass for a long time lizards have known this trick for millions of years, science wrote it down in 2012
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Robtimus retweeted
A HUMANOID TRAINED ON THOUSANDS OF HOURS OF VIDEO WITH NORMAL PEOPLE HAS 0 EXAMPLES OF A FRAME LIKE THIS AND IT WILL STILL HAVE AN ANSWER ▸ robots learn the world from video of people behaving normally engineers call everything outside that range out of distribution the model doesn't say "I don't know", it confidently picks the closest familiar thing and a snake on a shoulder becomes a scarf or a strand of hair ▸ a confident mistake is more dangerous than an honest "I don't know" in 2016 Autopilot failed to tell a white truck trailer from a bright sky and that story ended in a fatal crash for a humanoid standing next to a person in a kitchen the cost of that mistake is even higher ▸ so home robots will need a dedicated uncertainty mode: stop, step back and call a human I think that's the button regulators will check first, before speed or strength 0 examples in the data and 100% confidence in the answer is the scariest combo for a robot next to people
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A HUMANOID TRAINED ON THOUSANDS OF HOURS OF VIDEO WITH NORMAL PEOPLE HAS 0 EXAMPLES OF A FRAME LIKE THIS AND IT WILL STILL HAVE AN ANSWER ▸ robots learn the world from video of people behaving normally engineers call everything outside that range out of distribution the model doesn't say "I don't know", it confidently picks the closest familiar thing and a snake on a shoulder becomes a scarf or a strand of hair ▸ a confident mistake is more dangerous than an honest "I don't know" in 2016 Autopilot failed to tell a white truck trailer from a bright sky and that story ended in a fatal crash for a humanoid standing next to a person in a kitchen the cost of that mistake is even higher ▸ so home robots will need a dedicated uncertainty mode: stop, step back and call a human I think that's the button regulators will check first, before speed or strength 0 examples in the data and 100% confidence in the answer is the scariest combo for a robot next to people
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Robtimus retweeted
THIS GUY JUST LOST TO A ROBOT THAT BY SAFETY RULES ISN'T EVEN ALLOWED TO PRESS ON A HUMAN HAND HARDER THAN 14 KG → years in the gym, protein, perfect technique, and all of it loses to a motor that didn't even strain the robot has no fatigue, no pain and no moment where the arm says "enough" → the scary part isn't even the loss the ISO rule for robots around people caps hand contact at 140 N and to win the robot has to blow right past it so what's on stage is a machine that was allowed to break the rules for a show → and it only gets worse for the ego humanoid strength will get capped in software like German cars capped at 250 km/h but one checkbox in the settings removes any limit today it's arm wrestling at an expo, tomorrow the same robot hands you a coffee and you have no idea which box is ticked
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THIS GUY JUST LOST TO A ROBOT THAT BY SAFETY RULES ISN'T EVEN ALLOWED TO PRESS ON A HUMAN HAND HARDER THAN 14 KG → years in the gym, protein, perfect technique, and all of it loses to a motor that didn't even strain the robot has no fatigue, no pain and no moment where the arm says "enough" → the scary part isn't even the loss the ISO rule for robots around people caps hand contact at 140 N and to win the robot has to blow right past it so what's on stage is a machine that was allowed to break the rules for a show → and it only gets worse for the ego humanoid strength will get capped in software like German cars capped at 250 km/h but one checkbox in the settings removes any limit today it's arm wrestling at an expo, tomorrow the same robot hands you a coffee and you have no idea which box is ticked
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Robtimus retweeted
SINCE AUGUST 2, 2026 ARTICLE 50 OF THE AI ACT SAYS A MACHINE HAS TO TELL YOU IT'S A MACHINE AND ANDROIDS LIKE THIS WILL BE THE FIRST TO STRESS TEST THAT RULE → the law has a loophole because you don't have to disclose if it's already obvious you're dealing with AI with a metal body it's obvious, with a lifelike face, hair and expressions it isn't → the more realistic the robot the faster the brain stops treating it as a device and a person who forgets they're talking to a machine trusts it more than they should → so the next move for regulators will target design rather than software a mandatory mark on the body, a spoken disclosure at the start of every conversation and a ban on copying real people's looks article 50 was written with chatbots in mind but it'll be tested on robots with faces
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SINCE AUGUST 2, 2026 ARTICLE 50 OF THE AI ACT SAYS A MACHINE HAS TO TELL YOU IT'S A MACHINE AND ANDROIDS LIKE THIS WILL BE THE FIRST TO STRESS TEST THAT RULE → the law has a loophole because you don't have to disclose if it's already obvious you're dealing with AI with a metal body it's obvious, with a lifelike face, hair and expressions it isn't → the more realistic the robot the faster the brain stops treating it as a device and a person who forgets they're talking to a machine trusts it more than they should → so the next move for regulators will target design rather than software a mandatory mark on the body, a spoken disclosure at the start of every conversation and a ban on copying real people's looks article 50 was written with chatbots in mind but it'll be tested on robots with faces
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Robtimus retweeted
A CHAMELEON'S TONGUE CATCHES A FLY AT 264 G AND NO HUMANOID IS EVEN CLOSE YET → the chameleon doesn't fire its tongue with muscle directly but with elastic tissue that loads up like a spring and dumps all the energy at once that's why a tiny lizard beats any electric motor on power per kilo → robots hit a different wall because a motor gives you speed or force and rarely both and the slowest link isn't even the arm but the camera that has to see the fly first one extra frame of delay and the fly is gone → so labs are copying animals with spring latches, soft artificial muscles and event cameras that react to motion instead of waiting for a frame whoever squeezes that into a humanoid's hands gets a robot that catches a falling glass instead of just posing for the camera 264 G is lunch for a lizard, and for humanoids the reflex is still the hardest part
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A CHAMELEON'S TONGUE CATCHES A FLY AT 264 G AND NO HUMANOID IS EVEN CLOSE YET → the chameleon doesn't fire its tongue with muscle directly but with elastic tissue that loads up like a spring and dumps all the energy at once that's why a tiny lizard beats any electric motor on power per kilo → robots hit a different wall because a motor gives you speed or force and rarely both and the slowest link isn't even the arm but the camera that has to see the fly first one extra frame of delay and the fly is gone → so labs are copying animals with spring latches, soft artificial muscles and event cameras that react to motion instead of waiting for a frame whoever squeezes that into a humanoid's hands gets a robot that catches a falling glass instead of just posing for the camera 264 G is lunch for a lizard, and for humanoids the reflex is still the hardest part
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Robtimus retweeted
0 TO 60 IN 1 SECOND IS OVER 2.7 G AND THAT'S EXACTLY WHY NO HUMAN IS DRIVING IN THIS CLIP → watch how he sits through the barrel roll over the semi with his hands behind his head and his torso not moving at all → a person at that load gets pressed into the seat and after a mid-air flip the eyes keep drifting for a few seconds the robot has nothing to lose because it has no stomach no inner ear and no fear → engineers still use crash dummies to check if a human survives the hit but nobody has checked yet if this car needs a human at all for a passenger 2.7 G is the hardest second of their life and for Optimus it's just a normal workday
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0 TO 60 IN 1 SECOND IS OVER 2.7 G AND THAT'S EXACTLY WHY NO HUMAN IS DRIVING IN THIS CLIP → watch how he sits through the barrel roll over the semi with his hands behind his head and his torso not moving at all → a person at that load gets pressed into the seat and after a mid-air flip the eyes keep drifting for a few seconds the robot has nothing to lose because it has no stomach no inner ear and no fear → engineers still use crash dummies to check if a human survives the hit but nobody has checked yet if this car needs a human at all for a passenger 2.7 G is the hardest second of their life and for Optimus it's just a normal workday
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Robtimus retweeted
everyone's watching the kickflip and I'm watching the tanks 
cold gas loses push as pressure drops so every second of thrust is weaker than the first 
in my sim one jump burned 77% of the 600 liters that leaves 23% and @Tesla still hasn't said how long the refill takes
Do a kickflip!
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Robtimus retweeted
⚠️ A RANCH ROBOT NEEDS 12 SECONDS TO CHASE A LYNX AWAY FROM THE HERD. EVERYTHING DEPENDS ON WHAT IT DOES IN SECOND 13 ▸ Guarding livestock is the most boring job on a ranch. Around the clock, at night, no days off. Dogs and shepherds carry it, and shepherds get harder to find every year. ▸ A robot doesn't sleep and doesn't ask for night pay. One machine covers 3 eight-hour human shifts. That's the math ranchers will use to calculate payback. ▸ The trap is the weapon. A rifle turns a farm tool into a lethal system, and with it come new insurance, licensing and the question of who's liable for a mistake. One wrong shot at a hiker costs more than the whole herd. ▸ So the first pasture robots will ship unarmed: lights, sound, drones, electric fencing. Whoever sells 12 seconds of deterrence without a trigger takes the ranch market first. 12 seconds to scare off a predator. Second 13 decides if robots get on the pasture at all.
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⚠️ A RANCH ROBOT NEEDS 12 SECONDS TO CHASE A LYNX AWAY FROM THE HERD. EVERYTHING DEPENDS ON WHAT IT DOES IN SECOND 13 ▸ Guarding livestock is the most boring job on a ranch. Around the clock, at night, no days off. Dogs and shepherds carry it, and shepherds get harder to find every year. ▸ A robot doesn't sleep and doesn't ask for night pay. One machine covers 3 eight-hour human shifts. That's the math ranchers will use to calculate payback. ▸ The trap is the weapon. A rifle turns a farm tool into a lethal system, and with it come new insurance, licensing and the question of who's liable for a mistake. One wrong shot at a hiker costs more than the whole herd. ▸ So the first pasture robots will ship unarmed: lights, sound, drones, electric fencing. Whoever sells 12 seconds of deterrence without a trigger takes the ranch market first. 12 seconds to scare off a predator. Second 13 decides if robots get on the pasture at all.
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Robtimus retweeted
900 circles, 0.15% error: that is how I redrew the edge of the Mandelbrot set. How many circles would it take to reach 0% ? → I took 3,569 points of the edge, split them with a discrete Fourier transform and sorted the circles by radius. Two circles give a 28.2% error, sixty give 1.8%, nine hundred give 0.15% of the shape's width. Each new circle adds less, because the fine details of the edge have the smallest coefficients. → The edge has dimension 2, meaning infinite length, so an exact decomposition with a finite number of circles does not exist. The 0.15% describes the pixel image, it says nothing about the set itself. The true edge always hides one more smaller bump. → I think this approach will stay where shapes are smooth, like leaf and bone outlines in biology. On fractals it loses to methods that repeat the pattern itself. This is formula #10 for the article above.
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A HUMANOID'S FACE COMES OFF IN 9 SECONDS. AND NOT ONE RULE SAYS WHOSE FACE IT'S ALLOWED TO WEAR. → The face is now a removable part, like a phone case. Cameras, expression actuators and the brain stay inside the metal skull. Swap the skin and the same robot becomes someone else. → For the maker it's gold. One chassis, a hundred faces, and the buyer picks a look like a color in a configurator. Cost barely moves, the price does. → That's the trap. A 3D scan and a casting mold are enough to copy a real person. Deepfakes leave the screen and walk up to the hotel front desk. → Whoever ships a non-removable ID first clears certification first. Until then, a humanoid's face proves nothing.
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A $20,000 CHINESE HUMANOID DOESN'T LEAVE THE FACTORY UNTIL A WORKER PAINTS ITS EYES WITH A $1 BRUSH. → The frame, actuators and boards already run down a line. Their price drops every year because they're stamped out by the thousand. → The face doesn't scale like that. Every head is finished by one worker: brows, the shadow under the eye, lip color. One person gets through only a few heads a shift. → That's the trap. The buyer pays for the body but decides by looking into the eyes. A badly finished face devalues all the metal underneath. → Whoever automates the face removes the tightest bottleneck in the industry. Until then, humanoid output is capped not by the factory but by a person with a brush. $20,000 of metal waits for a $1 brush to finish.
🤖 Made with AI
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Robtimus retweeted
$30,000 ROBOT, 2,000 HOURS, 1 RESTROOM. Leaked internal calculation showing who gets replaced first. Who goes second isn't in the document. → Cleaning looks like the simplest job, and for a robot it's one of the hardest. Wet floors, glare and varied plumbing shapes break cameras and algorithms. Whoever solves this solves half of domestic robotics. → Payback takes a minute to calculate. A person in this role costs about $15 an hour. A $30,000 machine breaks even in roughly 2,000 hours. No shifts, no sick days, no vacations. → What stays off the slide is the service bill. Spare parts, charging and joint replacements add separate costs every year. Makers show the price of the robot, not the cost of owning it. Real payback is always longer than the one on the slide. → Train stations, airports and malls get replaced first. Landlords count square meters, not people. A robot that quietly mops floors at night won't even be noticed. → Unions and regulators have no position on this market yet. Purchases go quietly, without loud announcements. Decisions like this are usually announced after they're already done.
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$30,000 ROBOT, 2,000 HOURS, 1 RESTROOM. Leaked internal calculation showing who gets replaced first. Who goes second isn't in the document. → Cleaning looks like the simplest job, and for a robot it's one of the hardest. Wet floors, glare and varied plumbing shapes break cameras and algorithms. Whoever solves this solves half of domestic robotics. → Payback takes a minute to calculate. A person in this role costs about $15 an hour. A $30,000 machine breaks even in roughly 2,000 hours. No shifts, no sick days, no vacations. → What stays off the slide is the service bill. Spare parts, charging and joint replacements add separate costs every year. Makers show the price of the robot, not the cost of owning it. Real payback is always longer than the one on the slide. → Train stations, airports and malls get replaced first. Landlords count square meters, not people. A robot that quietly mops floors at night won't even be noticed. → Unions and regulators have no position on this market yet. Purchases go quietly, without loud announcements. Decisions like this are usually announced after they're already done.
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