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A Stanford student put 166,700 fruit fly neurons in a robot that now writes homework for 30 students. Not one of them has picked up a pen since. The robot is a black aluminum rig with a blue ballpoint, writing square roots and fractions line after line in handwriting... that doesn't look like a machine's, while the fly's neurons glow in the corner of the screen. Each student gives it a handwriting sample, and the fly learns the slant, the spacing, the size of the loops and where the letters get lazy at the end of a line, then writes as that student. 30 notebooks, 30 different hands and 1 brain. That brain is smaller than a poppy seed, and a human brain has over 500,000 times more neurons, but the fly doesn't get tired, doesn't smudge the ink and never mixes up whose 7s have a line through them. The teacher checks 30 notebooks, and a fly wrote every one.show more

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288,926 просмотров • 8 дней назад •via X (Twitter)

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166,700 fruit fly neurons just took over 3 drones, and nobody taught them to fly. Scientists mapped the full brain of 1 real fly, every neuron and all 25 million connections, and put it online for free. Someone copied that brain 3 times and plugged each copy into a drone. No flight code, no gesture presets, no "avoid the chair" rule, just a camera feeding the fly's eyes and neurons turning into throttle. 1 drone hovers, 1 slips past a chair, 1 drops to the floor and holds. This brain spent 350 million years learning to stay in the air, and now it's back where it belongs. No GPUs, no training run, no $100B data center, just a brain smaller than a grain of salt. 1 fly gives you 3 pilots, and 1,000 flies give you a swarm. The fly is dead, but its brain just got a squadron.

166,700 fruit fly neurons just took over 3 drones, and nobody taught them to fly. Scientists mapped the full brain of 1 real fly, every neuron and all 25 million connections, and put it online for free. Someone copied that brain 3 times and plugged each copy into a drone. No flight code, no gesture presets, no "avoid the chair" rule, just a camera feeding the fly's eyes and neurons turning into throttle. 1 drone hovers, 1 slips past a chair, 1 drops to the floor and holds. This brain spent 350 million years learning to stay in the air, and now it's back where it belongs. No GPUs, no training run, no $100B data center, just a brain smaller than a grain of salt. 1 fly gives you 3 pilots, and 1,000 flies give you a swarm. The fly is dead, but its brain just got a squadron.

Spike 1%

772,161 просмотров • 10 дней назад

A STUDENT TURNED A FRUIT FLY BRAIN INTO AN AI AGENT AND STEERS IT WITH HER BARE HAND Google and HHMI Janelia spent 10 years mapping the nervous system of 1 male fruit fly, and on September 3 they released the whole map for free. 166,700 neurons and 24.5M synapses, every wire from eye to leg. She ran all of it as a leaky integrate-and-fire simulation and then gave it a job. The top-right panel is the brain firing live, the robot on the left is the agent it drives. A camera tracks her fingers, the movements hit the fly's sensory neurons, and whatever motor neurons fire decide what the agent does. Status: IDLE Pinch → RUNNING IMPLEMENTATION Point → SPINNING UP NEW IMPL Pull back → HEAVY LIFTING The catch: this is not a living fly but a computer model of real wiring, and she built the link between her hand and its neurons. 12 days ago this brain was a dataset Then it played DOOM Then Chrome Dino Then it walked a Strandbeest Now it works for a student. The fly died years ago, but its wiring still takes orders.

A STUDENT TURNED A FRUIT FLY BRAIN INTO AN AI AGENT AND STEERS IT WITH HER BARE HAND Google and HHMI Janelia spent 10 years mapping the nervous system of 1 male fruit fly, and on September 3 they released the whole map for free. 166,700 neurons and 24.5M synapses, every wire from eye to leg. She ran all of it as a leaky integrate-and-fire simulation and then gave it a job. The top-right panel is the brain firing live, the robot on the left is the agent it drives. A camera tracks her fingers, the movements hit the fly's sensory neurons, and whatever motor neurons fire decide what the agent does. Status: IDLE Pinch → RUNNING IMPLEMENTATION Point → SPINNING UP NEW IMPL Pull back → HEAVY LIFTING The catch: this is not a living fly but a computer model of real wiring, and she built the link between her hand and its neurons. 12 days ago this brain was a dataset Then it played DOOM Then Chrome Dino Then it walked a Strandbeest Now it works for a student. The fly died years ago, but its wiring still takes orders.

Spike 1%

104,856 просмотров • 10 дней назад

Google just gave away the full wiring diagram of a fruit fly's brain, and a student turned it into an AI agent. Google and HHMI Janelia spent 10 years mapping the full nervous system of one male fruit fly, then released the complete map for free on September 3. 166,700 neurons. 24.5 million synapses. Every wire from eye to leg, mapped and public. She turned the wiring into a leaky integrate and fire simulation and gave it a job. A camera tracks her fingers, the movement hits the fly's sensory neurons, and whatever motor neurons fire decide what a robot does on the other side of the screen. ▪ Pinch triggers running implementation ▪ Point spins up a new implementation ▪ Pull back triggers heavy lifting Twelve days ago this brain was just a dataset. Then it played DOOM. Then Chrome Dino. Then it walked a Strandbeest. Now it works for a student. This isn't a living fly. It's a computer model of real wiring, and she built the bridge between her hand and its neurons herself. The fly died years ago. Its wiring still takes orders.

Google just gave away the full wiring diagram of a fruit fly's brain, and a student turned it into an AI agent. Google and HHMI Janelia spent 10 years mapping the full nervous system of one male fruit fly, then released the complete map for free on September 3. 166,700 neurons. 24.5 million synapses. Every wire from eye to leg, mapped and public. She turned the wiring into a leaky integrate and fire simulation and gave it a job. A camera tracks her fingers, the movement hits the fly's sensory neurons, and whatever motor neurons fire decide what a robot does on the other side of the screen. ▪ Pinch triggers running implementation ▪ Point spins up a new implementation ▪ Pull back triggers heavy lifting Twelve days ago this brain was just a dataset. Then it played DOOM. Then Chrome Dino. Then it walked a Strandbeest. Now it works for a student. This isn't a living fly. It's a computer model of real wiring, and she built the bridge between her hand and its neurons herself. The fly died years ago. Its wiring still takes orders.

Zentrix⌚️

63,932 просмотров • 8 дней назад

166,700 fruit fly neurons are flying a drone around my bedroom. 1 camera watches my open hand and that's the whole input. The panel in the middle is the brain running live 166,700 neurons, 25 million connections, the full reconstructed map of a fruit fly's head. Camera reads the hand, the brain fires, the output becomes throttle. Open palm and it climbs, fist and it holds, drop the hand and it comes down. 4 propellers the size of a coin hanging off a nervous system that belonged to an insect. The honest part this is a computational model, not a resurrected fly, the wiring is biological, the drone is mine, I built the bridge between them. I never wrote flight logic, no PID tuning, no gesture presets, I gave the neurons somewhere to send the signal and they found the ceiling. 11 seconds in, it holds altitude on its own. The fly is dead and it's still flying.

166,700 fruit fly neurons are flying a drone around my bedroom. 1 camera watches my open hand and that's the whole input. The panel in the middle is the brain running live 166,700 neurons, 25 million connections, the full reconstructed map of a fruit fly's head. Camera reads the hand, the brain fires, the output becomes throttle. Open palm and it climbs, fist and it holds, drop the hand and it comes down. 4 propellers the size of a coin hanging off a nervous system that belonged to an insect. The honest part this is a computational model, not a resurrected fly, the wiring is biological, the drone is mine, I built the bridge between them. I never wrote flight logic, no PID tuning, no gesture presets, I gave the neurons somewhere to send the signal and they found the ceiling. 11 seconds in, it holds altitude on its own. The fly is dead and it's still flying.

Spike 1%

1,042,542 просмотров • 11 дней назад

this is insane, a dead fly brain just got a new body 166,700 fruit fly neurons and more than 25 million biological connections are now sitting inside a robotic body that looks almost exactly like the animal they came from the lab gave those neurons cameras, wings and motors, then let the system figure out what those signals meant without writing normal flight behavior for it a light moves and the head turns airflow changes and the wings correct another fly crosses the camera and the robot starts following it the creepy part is how little machinery the brain actually needs before old instincts start becoming useful again nature spent hundreds of millions of years building a nervous system that can react, stabilize and chase movement someone just gave that nervous system a body made of metal the original fly is gone its wiring is still trying to fly

this is insane, a dead fly brain just got a new body 166,700 fruit fly neurons and more than 25 million biological connections are now sitting inside a robotic body that looks almost exactly like the animal they came from the lab gave those neurons cameras, wings and motors, then let the system figure out what those signals meant without writing normal flight behavior for it a light moves and the head turns airflow changes and the wings correct another fly crosses the camera and the robot starts following it the creepy part is how little machinery the brain actually needs before old instincts start becoming useful again nature spent hundreds of millions of years building a nervous system that can react, stabilize and chase movement someone just gave that nervous system a body made of metal the original fly is gone its wiring is still trying to fly

explos1ve

195,061 просмотров • 7 дней назад

$166,000 neurons from a dead fruit fly now hunt drones from a bedroom desk. A white drone the size of a palm lifts off the carpet, and a black 3D-printed turret on the desk swings after it, with the fly's brain working its 2 stepper motors, 1 camera and 2 barrels through a nest of rainbow wires on a breadboard. That brain sits in the top-left corner of the screen and flares every time the drone jerks. A Patriot interceptor costs about $4 million, and armies are firing them at drones worth a fraction of that. This brain is smaller than a poppy seed, and Google put it online for free 2 weeks ago. Then someone gave it a job it was built for. Most of a fly's brain exists to see motion, and this brain is male, and male flies spend their lives chasing whatever moves. The drone climbs past the ceiling fan and the crosshair climbs with it, then drops when it drops. For 18 seconds it never loses the drone. In the last shot the drone flies home to the guy holding the controller, and the crosshair follows it right onto his chest. It spent its whole life dodging swatters. Now it's the one aiming.$

166,000 neurons from a dead fruit fly now hunt drones from a bedroom desk. A white drone the size of a palm lifts off the carpet, and a black 3D-printed turret on the desk swings after it, with the fly's brain working its 2 stepper motors, 1 camera and 2 barrels through a nest of rainbow wires on a breadboard. That brain sits in the top-left corner of the screen and flares every time the drone jerks. A Patriot interceptor costs about $4 million, and armies are firing them at drones worth a fraction of that. This brain is smaller than a poppy seed, and Google put it online for free 2 weeks ago. Then someone gave it a job it was built for. Most of a fly's brain exists to see motion, and this brain is male, and male flies spend their lives chasing whatever moves. The drone climbs past the ceiling fan and the crosshair climbs with it, then drops when it drops. For 18 seconds it never loses the drone. In the last shot the drone flies home to the guy holding the controller, and the crosshair follows it right onto his chest. It spent its whole life dodging swatters. Now it's the one aiming.

Spike 1%

35,159 просмотров • 7 дней назад

A 19-year-old Stanford student put on red boxing gloves and lost 12-0 to a simulated fruit fly. The fly never left its side of the dish. Her webcam reads her shoulders and both hands, so leaning right makes the blue fly circle and a thrown punch makes it lunge, while the red one plays the rival. 12 seconds of zone control wins, rounds cap at 20. Status line with 16 seconds left: "Rival spreads his wings". She lunged once, made contact, scored 0.0 seconds. The rival isn't scripted two rendered eye views feed Flyvis, the published fly visual network from Nature 2024, and a target detector reads that activity to steer the turn, with 115 connected MaleCNS cell-type populations underneath and a NeuroMechFly body carrying real meshes and real leg angles. Its temper came out of a lab, where researchers switched on pC1 neurons in live males at 2.3, 2.9 and 3.5 mW/cm², filmed 30 seconds of the fight at 60 Hz, then fitted the approach, back-off, wing-threat and lunge odds to what the flies actually did. The wiring dropped September 3, 2026 166,700 neurons, 124 million synapses, the first complete male fly nervous system ever mapped. A brain the size of a poppy seed, free to download. Final board: 12.0 out of 12 for the rival, 0.0 for the primate with 86 billion neurons and a Stanford ID. She lost every second of the round.

A 19-year-old Stanford student put on red boxing gloves and lost 12-0 to a simulated fruit fly. The fly never left its side of the dish. Her webcam reads her shoulders and both hands, so leaning right makes the blue fly circle and a thrown punch makes it lunge, while the red one plays the rival. 12 seconds of zone control wins, rounds cap at 20. Status line with 16 seconds left: "Rival spreads his wings". She lunged once, made contact, scored 0.0 seconds. The rival isn't scripted two rendered eye views feed Flyvis, the published fly visual network from Nature 2024, and a target detector reads that activity to steer the turn, with 115 connected MaleCNS cell-type populations underneath and a NeuroMechFly body carrying real meshes and real leg angles. Its temper came out of a lab, where researchers switched on pC1 neurons in live males at 2.3, 2.9 and 3.5 mW/cm², filmed 30 seconds of the fight at 60 Hz, then fitted the approach, back-off, wing-threat and lunge odds to what the flies actually did. The wiring dropped September 3, 2026 166,700 neurons, 124 million synapses, the first complete male fly nervous system ever mapped. A brain the size of a poppy seed, free to download. Final board: 12.0 out of 12 for the rival, 0.0 for the primate with 86 billion neurons and a Stanford ID. She lost every second of the round.

Spike 1%

15,526 просмотров • 11 дней назад

166,700 neurons from a male fruit fly's brain are teaching a pair of silicone lips to talk. A steel frame, a silicone tongue, a row of motors under the jaw and a microphone pointed straight at the mouth, with no speaker anywhere. Air pushes through artificial vocal cords, the motors bend the lips and the microphone catches every sound it makes. If the pitch is off, the motors shift before the next try. Nobody coded the words: it finds each lip shape by trial and error and uses old sounds to guess new ones. Babies learn to talk the same way: babble, listen, fix, repeat. The new part is the brain in the corner of the screen, with 166,700 neurons and 125 million synapses packed into something smaller than a poppy seed. Scientists spent 10 years mapping every wire, and the job took 44 years of human labor. Male fruit flies already sing: they buzz 1 wing to court a female, and she hears the song through her antennae. That song never had a mouth until now. A trained linear readout turns its spikes into words and the mouth does the rest. You needed 86 billion neurons and 12 months to say "mama." The fly needs 166,700 and a microphone.

166,700 neurons from a male fruit fly's brain are teaching a pair of silicone lips to talk. A steel frame, a silicone tongue, a row of motors under the jaw and a microphone pointed straight at the mouth, with no speaker anywhere. Air pushes through artificial vocal cords, the motors bend the lips and the microphone catches every sound it makes. If the pitch is off, the motors shift before the next try. Nobody coded the words: it finds each lip shape by trial and error and uses old sounds to guess new ones. Babies learn to talk the same way: babble, listen, fix, repeat. The new part is the brain in the corner of the screen, with 166,700 neurons and 125 million synapses packed into something smaller than a poppy seed. Scientists spent 10 years mapping every wire, and the job took 44 years of human labor. Male fruit flies already sing: they buzz 1 wing to court a female, and she hears the song through her antennae. That song never had a mouth until now. A trained linear readout turns its spikes into words and the mouth does the rest. You needed 86 billion neurons and 12 months to say "mama." The fly needs 166,700 and a microphone.

Spike 1%

2,428,892 просмотров • 6 дней назад

Have you seen a complete map of the neurons in a baby fruit fly brain? Credits: Johns Hopkins University and University of Cambridge #MedTwitter #neuroscience

Have you seen a complete map of the neurons in a baby fruit fly brain? Credits: Johns Hopkins University and University of Cambridge #MedTwitter #neuroscience

Hugo Chrost

44,119 просмотров • 3 лет назад

Our kind of fireworks: fruit fly neurons stacked in a rapid succession of rainbow colors. This video shows a small sampling of the more than 135,000 neurons in a typical fruit fly's brain, imaged by researchers at our Janelia Research Campus using multicolor flipout technique 🎆

Our kind of fireworks: fruit fly neurons stacked in a rapid succession of rainbow colors. This video shows a small sampling of the more than 135,000 neurons in a typical fruit fly's brain, imaged by researchers at our Janelia Research Campus using multicolor flipout technique 🎆

HHMI

13,671 просмотров • 2 месяцев назад

A FLY IS NOW WRITING PYTHON CODE WITH ITS OWN NERVOUS SYSTEM I genuinely didn't expect a fly to end up behind a code editor. The setup is strangely simple. A fly sits on a keyboard while its neural activity is captured in real time. On the other side of the screen, Python code starts appearing line by line inside wordle_solver_v1.py, with the neural visualization changing as the input comes through. The model contains 100,010 flyemg neurons, with 88,172 represented in the current neural model. As activity changes, the system translates those signals into keyboard input and the cursor keeps moving through the code. Then you start looking at what is actually being typed. import random import unicodedata def quitar_acentos(palabra): It's not just random characters filling the editor. The video shows an actual Python function being constructed while the neural activity and keyboard input remain synchronized beside it. Brain activity → keyboard → code. A tiny biological nervous system is being used as the interface between a fly and a programming environment. The fly isn't sitting there watching someone code. It's sitting on the keyboard while the system turns its neural activity into the next input. And somehow the first thing it ended up building was a Wordle solver

A FLY IS NOW WRITING PYTHON CODE WITH ITS OWN NERVOUS SYSTEM I genuinely didn't expect a fly to end up behind a code editor. The setup is strangely simple. A fly sits on a keyboard while its neural activity is captured in real time. On the other side of the screen, Python code starts appearing line by line inside wordle_solver_v1.py, with the neural visualization changing as the input comes through. The model contains 100,010 flyemg neurons, with 88,172 represented in the current neural model. As activity changes, the system translates those signals into keyboard input and the cursor keeps moving through the code. Then you start looking at what is actually being typed. import random import unicodedata def quitar_acentos(palabra): It's not just random characters filling the editor. The video shows an actual Python function being constructed while the neural activity and keyboard input remain synchronized beside it. Brain activity → keyboard → code. A tiny biological nervous system is being used as the interface between a fly and a programming environment. The fly isn't sitting there watching someone code. It's sitting on the keyboard while the system turns its neural activity into the next input. And somehow the first thing it ended up building was a Wordle solver

Insomnia

12,028 просмотров • 11 дней назад

How does the Neuralink implant connect to the brain? Tiny threads smaller than a human hair get inserted into your brain by a surgical robot. The idea is that the small and flexible threads minimize trauma and allow the brain to move naturally. Zack was one of the most passionate people at Neuralink. #Neuralink #BrainChip #BCI #FutureOfTech #FutureIsNow

How does the Neuralink implant connect to the brain? Tiny threads smaller than a human hair get inserted into your brain by a surgical robot. The idea is that the small and flexible threads minimize trauma and allow the brain to move naturally. Zack was one of the most passionate people at Neuralink. #Neuralink #BrainChip #BCI #FutureOfTech #FutureIsNow

Rockynohands

163,966 просмотров • 10 месяцев назад

🚨Iranian scientists build lab-grown artificial brain from living human neurons Iran has mastered the technology for growing nerve cells outside the human body 🔸 Living neurons create synapses and learn like a real human brain 🔸 The new technology is up to 1 million times more energy-efficient than silicon microchips 🔸 It also shows a major increase in processing speed The breakthrough puts Iran in the global race for organoid intelligence

🚨Iranian scientists build lab-grown artificial brain from living human neurons Iran has mastered the technology for growing nerve cells outside the human body 🔸 Living neurons create synapses and learn like a real human brain 🔸 The new technology is up to 1 million times more energy-efficient than silicon microchips 🔸 It also shows a major increase in processing speed The breakthrough puts Iran in the global race for organoid intelligence

Sputnik

39,171 просмотров • 2 месяцев назад

scientists published the complete wiring diagram of a fly's brain 140,000 neurons. 50 million connections. Someone just built an entire trading bot on top of it. they named it FlySwarm. $55 → $8,740 in 28 hours i downloaded it. told it to trade. more than +15,800% profit the fly has been dead for years. its brain is still making money. a fly's brain evolved one job over 50 million years: survive. find food before something kills you. never stop scanning. act in milliseconds. every 8 minutes: runs the full connectome against live market data the way the fly would run it against a field the "food detection" circuits flag where price is moving before volume confirms it the "threat avoidance" circuits kill any position the moment the pattern breaks the "escape reflex" closes everything in under 200 milliseconds if volatility spikes it doesn't calculate. it reacts. the way a fly reacts. it has never hesitated once. night one it dropped to $9. the escape reflex triggered 40 times in 6 hours. a fly survives by being faster than everything trying to eat it. by morning it had rebuilt the balance and was up 15,800%. the market tried to eat it on night one. it flew away. the algo ran for free. it's been running for 50 million years. $55 → $8,740 in 28 hours what does a fly know about markets that we don't?

scientists published the complete wiring diagram of a fly's brain 140,000 neurons. 50 million connections. Someone just built an entire trading bot on top of it. they named it FlySwarm. $55 → $8,740 in 28 hours i downloaded it. told it to trade. more than +15,800% profit the fly has been dead for years. its brain is still making money. a fly's brain evolved one job over 50 million years: survive. find food before something kills you. never stop scanning. act in milliseconds. every 8 minutes: runs the full connectome against live market data the way the fly would run it against a field the "food detection" circuits flag where price is moving before volume confirms it the "threat avoidance" circuits kill any position the moment the pattern breaks the "escape reflex" closes everything in under 200 milliseconds if volatility spikes it doesn't calculate. it reacts. the way a fly reacts. it has never hesitated once. night one it dropped to $9. the escape reflex triggered 40 times in 6 hours. a fly survives by being faster than everything trying to eat it. by morning it had rebuilt the balance and was up 15,800%. the market tried to eat it on night one. it flew away. the algo ran for free. it's been running for 50 million years. $55 → $8,740 in 28 hours what does a fly know about markets that we don't?

Nekt0

47,260 просмотров • 11 дней назад

OK, I have a definitive word on the CJ Abrams play from today's Pittsburgh Pirates at Washington Nationals game after talking with Elias Sports Bureau on this. This play will stay as a sacrifice fly. The originial ruling of NOT a sacrifice fly was for the exact same reason that I thought, which is that the infielder is not running into the outfield, which is year's past would have been correct As it was explained to me, in past years, an infielder had to be running almost in a straight line towards the outfield wall to be considered "running in the outfield". Here, since he is running, and he ends up further away from home (157 feet) than when he started (145 feet), this is going to count as a sacrifice fly. That definition is changing, in part from this play to help bring greater consistency, and to take some of the guesswork out of it (the argument that he is running into the outfield as opposed to more parallel). Now, folks all the time ask "why doesn't MLB publish the OS Manual" and I always say because it is a living document that can have the wording change, and the wording for this play will be modified to something like "more towards the outfield wall than towards home plate" to eliminate any confusion. The big key to this play is that he was running on a full sprint. Also, and this is helpful for me, but for all fly ball outs that score a run, Elias Saba reviews to ensure consistency. So, yes, it's a sacrifice fly, and now that I have that info from Elias themselves, that sort of settles this one. Sounds like the guidelines for this definition will be changing, either this season, or certainly for next season.

OK, I have a definitive word on the CJ Abrams play from today's Pittsburgh Pirates at Washington Nationals game after talking with Elias Sports Bureau on this. This play will stay as a sacrifice fly. The originial ruling of NOT a sacrifice fly was for the exact same reason that I thought, which is that the infielder is not running into the outfield, which is year's past would have been correct As it was explained to me, in past years, an infielder had to be running almost in a straight line towards the outfield wall to be considered "running in the outfield". Here, since he is running, and he ends up further away from home (157 feet) than when he started (145 feet), this is going to count as a sacrifice fly. That definition is changing, in part from this play to help bring greater consistency, and to take some of the guesswork out of it (the argument that he is running into the outfield as opposed to more parallel). Now, folks all the time ask "why doesn't MLB publish the OS Manual" and I always say because it is a living document that can have the wording change, and the wording for this play will be modified to something like "more towards the outfield wall than towards home plate" to eliminate any confusion. The big key to this play is that he was running on a full sprint. Also, and this is helpful for me, but for all fly ball outs that score a run, Elias Saba reviews to ensure consistency. So, yes, it's a sacrifice fly, and now that I have that info from Elias themselves, that sort of settles this one. Sounds like the guidelines for this definition will be changing, either this season, or certainly for next season.

MLB Scoring Changes

49,141 просмотров • 2 месяцев назад

In a lab in central Pennsylvania, a tiny fly is suspended in a magnetic field inside a dome lined with rotating LED bulbs. The insect flaps its wings and spins, believing it’s actually buzzing through this virtual reality environment—one that can even distort what the fly sees. The contraption may seem like the work of mad scientists—and indeed, it wouldn’t be out of place among other recent setups that let fruit flies ride on a carousel or spun locusts in a centrifuge. But like those experiments, this tiny virtual reality flight simulator has a deeper purpose. Here, researchers are probing the inner workings of the insect brain. Learn more this #InsectWeek:

In a lab in central Pennsylvania, a tiny fly is suspended in a magnetic field inside a dome lined with rotating LED bulbs. The insect flaps its wings and spins, believing it’s actually buzzing through this virtual reality environment—one that can even distort what the fly sees. The contraption may seem like the work of mad scientists—and indeed, it wouldn’t be out of place among other recent setups that let fruit flies ride on a carousel or spun locusts in a centrifuge. But like those experiments, this tiny virtual reality flight simulator has a deeper purpose. Here, researchers are probing the inner workings of the insect brain. Learn more this #InsectWeek:

News from Science

27,181 просмотров • 3 месяцев назад

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it

iamigorekk

22,205 просмотров • 1 месяц назад

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

Argona

32,475 просмотров • 1 месяц назад

I just cracked AI camera control. You draw a line. The drone follows it. > drop in any image > draw a line where the camera should fly > it flies that exact line Runs in Arcads. Comment "DRONE" and I'll send you the exact prompt

I just cracked AI camera control. You draw a line. The drone follows it. > drop in any image > draw a line where the camera should fly > it flies that exact line Runs in Arcads. Comment "DRONE" and I'll send you the exact prompt

Romain Torres

299,711 просмотров • 1 месяц назад