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I successfully compressed the complete fruit fly brain, including all 139,255 neurons and their connections into approximately 43 MB. Storing the entire connectome on Bitcoin will require around 110 separate Ordinal inscriptions of up to 350 KB each, making the process expensive. To help fund this process, we are...

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BANKNOTES

1,090 subscribers

10,891 次观看 • 7 天前 •via X (Twitter)

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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.
0:14

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%

103,176 次观看 • 3 天前

I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)
0:12

I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)

Niko McCarty.

67,050 次观看 • 9 个月前

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.
0:15

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%

1,026,832 次观看 • 4 天前

Went off the coast of California with a fish killing robot from Shinkei yesterday. The robot kills the fish using the Japanese Ikejime technique where the brain is spiked and the gills are slit to bleed the fish. It all sounds a bit rough, but it's this versus the fish suffocating on deck for hours and being stressed. The result of the Ikejime process is much higher grade fish. Also we saw whales.
0:15

Went off the coast of California with a fish killing robot from Shinkei yesterday. The robot kills the fish using the Japanese Ikejime technique where the brain is spiked and the gills are slit to bleed the fish. It all sounds a bit rough, but it's this versus the fish suffocating on deck for hours and being stressed. The result of the Ikejime process is much higher grade fish. Also we saw whales.

Ashlee Vance

50,654 次观看 • 3 个月前

This was all streamed from Bitcoin using Ordinals. The 3D world supports real-time multiplayer interactions, and decentralized land ownership. All this is on-chain on Bitcoin, and as immutable and secure as Bitcoin itself. The weather in the world reacts to Bitcoin fees, clouds are linked to transaction volume, and time in the world is determined by block height. Makes sense for a Bitcoin world. Real-time multiplayer interactions is one of the newest features. This is particularly difficult to do because Bitcoin block times are ~10 minutes. Bitcoin has been around for 17 years, and we're now seeing fascinating new things being built on top of it.
0:11

This was all streamed from Bitcoin using Ordinals. The 3D world supports real-time multiplayer interactions, and decentralized land ownership. All this is on-chain on Bitcoin, and as immutable and secure as Bitcoin itself. The weather in the world reacts to Bitcoin fees, clouds are linked to transaction volume, and time in the world is determined by block height. Makes sense for a Bitcoin world. Real-time multiplayer interactions is one of the newest features. This is particularly difficult to do because Bitcoin block times are ~10 minutes. Bitcoin has been around for 17 years, and we're now seeing fascinating new things being built on top of it.

danny huuep

103,145 次观看 • 4 个月前

This is not what we Ukrainians would want to see from our windows in winter. It would be better if the voices and laughter of children making snowmen or playing snowballs echoed from the courtyards of residential areas. One could step out onto the balcony and watch that very scene while sipping a warm tea or coffee, rather than the sights we see now. You cannot distract yourself from thoughts of the war for long; it continues, and everything around us tries to remind us of that. Over the years, the brain tries to pretend it has adapted to everything happening around it - to what the ears hear and the eyes see, to the various situations that occur here every day. But sanity is always on guard, and an inner voice says without words: this is not a normal life for a human being; if only everything could return to the way it was before. But is it even possible to return to the life we had, carrying such an experience on our shoulders? … Now, in the "points of warmth," you can see beds. You might ask: are these for overnight stays? The beds are intended for people who need assistance in the event of an emergency or for medical reasons, as well as for temporary rest if a person is in need of it… but people are still forced to return to their apartments.
0:18

This is not what we Ukrainians would want to see from our windows in winter. It would be better if the voices and laughter of children making snowmen or playing snowballs echoed from the courtyards of residential areas. One could step out onto the balcony and watch that very scene while sipping a warm tea or coffee, rather than the sights we see now. You cannot distract yourself from thoughts of the war for long; it continues, and everything around us tries to remind us of that. Over the years, the brain tries to pretend it has adapted to everything happening around it - to what the ears hear and the eyes see, to the various situations that occur here every day. But sanity is always on guard, and an inner voice says without words: this is not a normal life for a human being; if only everything could return to the way it was before. But is it even possible to return to the life we had, carrying such an experience on our shoulders? … Now, in the "points of warmth," you can see beds. You might ask: are these for overnight stays? The beds are intended for people who need assistance in the event of an emergency or for medical reasons, as well as for temporary rest if a person is in need of it… but people are still forced to return to their apartments.

Katerina Horbunova

78,835 次观看 • 7 个月前

🚨 SCIENTISTS ARE USING AI TO MAP A HIDDEN “CLEANING SYSTEM” INSIDE THE HUMAN BRAIN AND IT COULD CHANGE HOW WE UNDERSTAND SLEEP, AGING, AND NEURODEGENERATIVE DISEASE. It’s called the glymphatic system a vast network of fluid channels that flushes toxic waste from the brain while you sleep. For years it was almost impossible to observe in detail. Now AI-powered imaging is revealing it like a living galaxy of microscopic rivers and pathways inside neural tissue. Why this matters: Your brain produces toxic proteins constantly. The glymphatic system is one of its primary waste-clearance mechanisms clearing the very proteins linked to Alzheimer’s, Parkinson’s, and other neurodegenerative diseases. But here’s the unsettling part: This cleaning system becomes dramatically less efficient with age, poor sleep, stress, and brain injury. Sleep may not just “rest” your mind it may literally wash your brain. The deeper implication is staggering: The brain isn’t just a computer. It’s a dynamic, living network that constantly rebuilds and cleanses itself in real time. The more we map it, the more it looks like an entire universe of connected energy flows inside our skulls. What if some neurological diseases begin when the brain can no longer properly “wash” itself at night? Follow for more frontier neuroscience and future technology.
0:10

🚨 SCIENTISTS ARE USING AI TO MAP A HIDDEN “CLEANING SYSTEM” INSIDE THE HUMAN BRAIN AND IT COULD CHANGE HOW WE UNDERSTAND SLEEP, AGING, AND NEURODEGENERATIVE DISEASE. It’s called the glymphatic system a vast network of fluid channels that flushes toxic waste from the brain while you sleep. For years it was almost impossible to observe in detail. Now AI-powered imaging is revealing it like a living galaxy of microscopic rivers and pathways inside neural tissue. Why this matters: Your brain produces toxic proteins constantly. The glymphatic system is one of its primary waste-clearance mechanisms clearing the very proteins linked to Alzheimer’s, Parkinson’s, and other neurodegenerative diseases. But here’s the unsettling part: This cleaning system becomes dramatically less efficient with age, poor sleep, stress, and brain injury. Sleep may not just “rest” your mind it may literally wash your brain. The deeper implication is staggering: The brain isn’t just a computer. It’s a dynamic, living network that constantly rebuilds and cleanses itself in real time. The more we map it, the more it looks like an entire universe of connected energy flows inside our skulls. What if some neurological diseases begin when the brain can no longer properly “wash” itself at night? Follow for more frontier neuroscience and future technology.

TheNewPhysics

15,641 次观看 • 3 个月前

“There is a tension between what the users of a currency want – and the users of a currency tend to like freedom, autonomy, and discretion as to what they spent their money on – and what the issuers of a currency want; and bluntly, the issuers of a currency want control. Control of monetary policy, and control of you.” The Bank of England’s consultation papers make very clear the level of control that they wish to exercise over you, and over your supposed financial autonomy, if you were to use their #DigitalPound. (1) You’ll need to provide ID in order to use the #DigitalPound: “For the digital pound, tiered access would allow for different levels of user access and functionality based on the amount of identification (ID) a user is willing or able to provide.” (2) The Bank will dictate how much you can hold: “The Bank would place some limits on holdings of digital pounds, at least during its introductory period.” (3) The digital pound will be programmable, if not by the Bank itself then by third party providers: “Programmability, delivered by Payment Interface Providers, could also enable the use of smart contracts, which carry out specific actions based on pre-defined terms and conditions.” Quotes are from from the Bank of England’s Digital Pound consultation paper: Whatever the #DigitalPound will be, it won’t be cash. Cash does not require me to show ID to use it. I can hold as much cash as I want or need. And, along with #Bitcoin, cash is a bearer instrument whose title is freely transferrable upon delivery, which is very difficult for a central bank to control. And long may it stay this way. A huge shout out and thank you to Lyn Alden, who made this point much more eloquently than I did in her excellent book #BrokenMoney. Thank you! Also I’m aware that my hand gestures in this clip are reminiscent of Richard Hendricks manipulating ‘datas’ on stage at TechCrunch Disrupt in #SiliconValley, and for this I can only apologize: #BitcoinConference #Amsterdam #NoToCBDCs
0:19

“There is a tension between what the users of a currency want – and the users of a currency tend to like freedom, autonomy, and discretion as to what they spent their money on – and what the issuers of a currency want; and bluntly, the issuers of a currency want control. Control of monetary policy, and control of you.” The Bank of England’s consultation papers make very clear the level of control that they wish to exercise over you, and over your supposed financial autonomy, if you were to use their #DigitalPound. (1) You’ll need to provide ID in order to use the #DigitalPound: “For the digital pound, tiered access would allow for different levels of user access and functionality based on the amount of identification (ID) a user is willing or able to provide.” (2) The Bank will dictate how much you can hold: “The Bank would place some limits on holdings of digital pounds, at least during its introductory period.” (3) The digital pound will be programmable, if not by the Bank itself then by third party providers: “Programmability, delivered by Payment Interface Providers, could also enable the use of smart contracts, which carry out specific actions based on pre-defined terms and conditions.” Quotes are from from the Bank of England’s Digital Pound consultation paper: Whatever the #DigitalPound will be, it won’t be cash. Cash does not require me to show ID to use it. I can hold as much cash as I want or need. And, along with #Bitcoin, cash is a bearer instrument whose title is freely transferrable upon delivery, which is very difficult for a central bank to control. And long may it stay this way. A huge shout out and thank you to Lyn Alden, who made this point much more eloquently than I did in her excellent book #BrokenMoney. Thank you! Also I’m aware that my hand gestures in this clip are reminiscent of Richard Hendricks manipulating ‘datas’ on stage at TechCrunch Disrupt in #SiliconValley, and for this I can only apologize: #BitcoinConference #Amsterdam #NoToCBDCs

Freddie New

13,163 次观看 • 2 年前

a real fly brain saw its 40th video 3 seconds ago. it did not choose any of them. it never will. that's FLYTOK. I open-sourced a live simulation of a real fruit fly connectome and gave it a phone. here's exactly what 166,700 neurons do while you scroll: THE WIRING MaleCNS v1.0. the reconstructed central nervous system of a real male Drosophila. 166,700 neurons. 25,582,938 directed connections. 124,177,617 synaptic contacts. nothing cropped. no "simplified 1,000-neuron version" running behind the scenes. the whole graph is in memory on every single step. THE LOCK the app checksums the connectome against SHA-256 before it's allowed to boot. one array off by a byte and the brain refuses to start. you are either watching the real MaleCNS graph or you are watching nothing. THE SPIKES every neuron is a leaky integrate-and-fire cell. crosses −45 mV, it fires. the spike lands 1.8 ms later. 2.2 ms of silence, then it's live again. the network advances in 0.1 ms steps inside a compiled C++ kernel. roughly 1.2 million spikes per simulated second. THE EYES the browser captures the phone at 90×160 pixels. brightness drives 3,335 R1–R6 photoreceptors. color drives 811 R8 cells, blue and green. each one is placed on the screen by inferring its eye column from its real connections onto L1, L2, L3. real input, through real visual wiring. it's measurable. same brain, same saved state. 100 ms of white produced 127,378 spikes. black produced 92,952. the screen changes the brain. THE ALGORITHM while a video plays, I inject a fixed current into all 15 PAM11 dopamine neurons in the mushroom body. that's it. that's the whole trick. matched 200 ms control: 0 PAM11 spikes. drive on: 261. live, it sits at 85–97 Hz for as long as the feed runs. the fly does not earn it. an app decided watching one more should feel good. THE PLASTICITY 7,835 Kenyon-cell connections onto MBON07 and MBON11 can change. dopamine fires while Kenyon cells were active, those synapses weaken, floored at 10% and never flipping sign. after one stimulated run, 3,087 of them no longer matched their original weight. freeze it and they stay put. restore a checkpoint, replay the input, identical spikes bit for bit. THE SWIPE every 3 seconds the front right leg reaches up and strokes the screen, on the same 900 ms timeline as the video transition. wings, legs and head turns come from actual motor firing, MN9, DNp09, left-vs-right DNa02. those are real. the swipe is not. the fly never decides to swipe. the feed decides for it. ONE BRAIN this isn't a video of a simulation. it's the simulation. there is exactly one brain on one server. whoever loads the page first becomes its eyes and supplies the frames. everyone else watches the same brain react in real time. no video, no input, it just waits. no data, no numbers, the overlay shows nothing. it never invents a reading to look alive. THE HONEST PART the wiring is real. the physiology is approximate. the eyes are approximate. the dopamine is artificial. the feed is on a timer. the learning rule is unvalidated on this connectome. nothing here shows the fly enjoys it, prefers it, is addicted, or experiences anything at all. no living fly was involved. it took a few hundred lines of glue code to build a loop out of a screen, a timer and a reward signal wired to the right cells. imagine what an industry with a budget can do. open source. MaleCNS under CC BY 4.0. runs on your own machine, 16 GB RAM and a few GB of disk. the fly is still scrolling. nobody is coming to take the phone away. links in the reply.
0:12

a real fly brain saw its 40th video 3 seconds ago. it did not choose any of them. it never will. that's FLYTOK. I open-sourced a live simulation of a real fruit fly connectome and gave it a phone. here's exactly what 166,700 neurons do while you scroll: THE WIRING MaleCNS v1.0. the reconstructed central nervous system of a real male Drosophila. 166,700 neurons. 25,582,938 directed connections. 124,177,617 synaptic contacts. nothing cropped. no "simplified 1,000-neuron version" running behind the scenes. the whole graph is in memory on every single step. THE LOCK the app checksums the connectome against SHA-256 before it's allowed to boot. one array off by a byte and the brain refuses to start. you are either watching the real MaleCNS graph or you are watching nothing. THE SPIKES every neuron is a leaky integrate-and-fire cell. crosses −45 mV, it fires. the spike lands 1.8 ms later. 2.2 ms of silence, then it's live again. the network advances in 0.1 ms steps inside a compiled C++ kernel. roughly 1.2 million spikes per simulated second. THE EYES the browser captures the phone at 90×160 pixels. brightness drives 3,335 R1–R6 photoreceptors. color drives 811 R8 cells, blue and green. each one is placed on the screen by inferring its eye column from its real connections onto L1, L2, L3. real input, through real visual wiring. it's measurable. same brain, same saved state. 100 ms of white produced 127,378 spikes. black produced 92,952. the screen changes the brain. THE ALGORITHM while a video plays, I inject a fixed current into all 15 PAM11 dopamine neurons in the mushroom body. that's it. that's the whole trick. matched 200 ms control: 0 PAM11 spikes. drive on: 261. live, it sits at 85–97 Hz for as long as the feed runs. the fly does not earn it. an app decided watching one more should feel good. THE PLASTICITY 7,835 Kenyon-cell connections onto MBON07 and MBON11 can change. dopamine fires while Kenyon cells were active, those synapses weaken, floored at 10% and never flipping sign. after one stimulated run, 3,087 of them no longer matched their original weight. freeze it and they stay put. restore a checkpoint, replay the input, identical spikes bit for bit. THE SWIPE every 3 seconds the front right leg reaches up and strokes the screen, on the same 900 ms timeline as the video transition. wings, legs and head turns come from actual motor firing, MN9, DNp09, left-vs-right DNa02. those are real. the swipe is not. the fly never decides to swipe. the feed decides for it. ONE BRAIN this isn't a video of a simulation. it's the simulation. there is exactly one brain on one server. whoever loads the page first becomes its eyes and supplies the frames. everyone else watches the same brain react in real time. no video, no input, it just waits. no data, no numbers, the overlay shows nothing. it never invents a reading to look alive. THE HONEST PART the wiring is real. the physiology is approximate. the eyes are approximate. the dopamine is artificial. the feed is on a timer. the learning rule is unvalidated on this connectome. nothing here shows the fly enjoys it, prefers it, is addicted, or experiences anything at all. no living fly was involved. it took a few hundred lines of glue code to build a loop out of a screen, a timer and a reward signal wired to the right cells. imagine what an industry with a budget can do. open source. MaleCNS under CC BY 4.0. runs on your own machine, 16 GB RAM and a few GB of disk. the fly is still scrolling. nobody is coming to take the phone away. links in the reply.

sopersone

37,608 次观看 • 7 天前

Smart Remesh 2.1.7, on the way.... ** Cloth Remeshing ** coming soon.... Cloth Remesh · Progress 01: As I continue posting about cloth remeshing, I want to share some of the challenges I faced during development, as well as how I approached and solved them. This is Part 1. Remeshing clothing is more challenging than remeshing most other types of 3D models. Because clothing contains folds, wrinkles, and complex surface forms, it is very important to preserve as much detail as possible throughout the remeshing process. Standard methods that work well for organic models don't always give good results here, because they often require a much higher polygon count to preserve those details properly. To address this, I decided to use the garment's existing UV layout as part of the remeshing process. Each UV island is remeshed independently, and once the process is complete, all of the parts are combined back into a single mesh. This approach helps achieve better detail preservation with a lower polygon count, while also making the remeshing process faster and producing a more acceptable final result. #blender #b3d
0:12

Smart Remesh 2.1.7, on the way.... ** Cloth Remeshing ** coming soon.... Cloth Remesh · Progress 01: As I continue posting about cloth remeshing, I want to share some of the challenges I faced during development, as well as how I approached and solved them. This is Part 1. Remeshing clothing is more challenging than remeshing most other types of 3D models. Because clothing contains folds, wrinkles, and complex surface forms, it is very important to preserve as much detail as possible throughout the remeshing process. Standard methods that work well for organic models don't always give good results here, because they often require a much higher polygon count to preserve those details properly. To address this, I decided to use the garment's existing UV layout as part of the remeshing process. Each UV island is remeshed independently, and once the process is complete, all of the parts are combined back into a single mesh. This approach helps achieve better detail preservation with a lower polygon count, while also making the remeshing process faster and producing a more acceptable final result. #blender #b3d

milad_kambari

18,060 次观看 • 10 天前

This is not camera footage. It is a Blender character with 8K skin, detailed wrinkles, wet eyes, facial controls and enough micro-detail to make your brain keep waiting for the person to behave like a person. HumanPro packages that skin workflow into a Blender add-on instead of making artists rebuild it from scratch every time. The interesting AI angle is not “AI made a realistic girl.” A reusable 3D human can keep the same face across thousands of shots, then be relit, reposed, animated and dropped into completely different scenes without the identity drifting every six frames. Add Claude through Blender MCP and the workflow gets stranger: the model can help assemble scenes, adjust cameras and lighting, inspect renders and correct obvious visual problems, while the character system handles the skin and facial structure. It still does not remove the artist. Someone has to control expression, motion, lighting and the exact moment realism quietly turns into a very expensive mannequin. Most AI influencer projects are still fighting prompt consistency one image at a time. A rigged digital human is less magical, but probably much closer to how this becomes an actual production system.
0:18

This is not camera footage. It is a Blender character with 8K skin, detailed wrinkles, wet eyes, facial controls and enough micro-detail to make your brain keep waiting for the person to behave like a person. HumanPro packages that skin workflow into a Blender add-on instead of making artists rebuild it from scratch every time. The interesting AI angle is not “AI made a realistic girl.” A reusable 3D human can keep the same face across thousands of shots, then be relit, reposed, animated and dropped into completely different scenes without the identity drifting every six frames. Add Claude through Blender MCP and the workflow gets stranger: the model can help assemble scenes, adjust cameras and lighting, inspect renders and correct obvious visual problems, while the character system handles the skin and facial structure. It still does not remove the artist. Someone has to control expression, motion, lighting and the exact moment realism quietly turns into a very expensive mannequin. Most AI influencer projects are still fighting prompt consistency one image at a time. A rigged digital human is less magical, but probably much closer to how this becomes an actual production system.

Rina

109,652 次观看 • 2 个月前

RECC 🤝 Pump.fun After a lot of work and internal discussion, we have decided to migrate RECC to the ICM ecosystem at Pump Fun. After months of building and refining our infrastructure and giving the recent events withing the ecosystem, we realized that launching within an ecosystem fully aligned with our long-term vision would give RECC the visibility it deserves. The migration to Pump’s ICM framework is a strategic move to position the Real Estate ETF where innovation and scalability can grow together. This migration means we will adjust the ETF timeline. We will set a new launch window immediately after migration so we debut cleanly on mainnet. We also want to sincerely thank Meteora and Soju 燒酒 | funemployed for their constant responsiveness, clarity, and genuine wish to see us succeed. Their support since day one helped shape the foundations of RECC and the ETF we are about to launch. Migration will run via Migrate. The migration process takes around two weeks from a technical standpoint, followed by an additional period dedicated to the token swap itself. The length of this second phase depends entirely on us. Our goal is to make this migration as fast and smooth as possible so we can finally launch the ETF and focus entirely on growing the product. In the meantime, we’ll continue securing investors, creating content, and fine tuning every detail to ensure a strong and seamless launch, as we’re currently in an investment round closing our main prospects. Finally, special thanks to for his relentless work behind the scenes. His dedication and constant communication have been essential through this process.
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RECC 🤝 Pump.fun After a lot of work and internal discussion, we have decided to migrate RECC to the ICM ecosystem at Pump Fun. After months of building and refining our infrastructure and giving the recent events withing the ecosystem, we realized that launching within an ecosystem fully aligned with our long-term vision would give RECC the visibility it deserves. The migration to Pump’s ICM framework is a strategic move to position the Real Estate ETF where innovation and scalability can grow together. This migration means we will adjust the ETF timeline. We will set a new launch window immediately after migration so we debut cleanly on mainnet. We also want to sincerely thank Meteora and Soju 燒酒 | funemployed for their constant responsiveness, clarity, and genuine wish to see us succeed. Their support since day one helped shape the foundations of RECC and the ETF we are about to launch. Migration will run via Migrate. The migration process takes around two weeks from a technical standpoint, followed by an additional period dedicated to the token swap itself. The length of this second phase depends entirely on us. Our goal is to make this migration as fast and smooth as possible so we can finally launch the ETF and focus entirely on growing the product. In the meantime, we’ll continue securing investors, creating content, and fine tuning every detail to ensure a strong and seamless launch, as we’re currently in an investment round closing our main prospects. Finally, special thanks to for his relentless work behind the scenes. His dedication and constant communication have been essential through this process.

RECC Finance

61,683 次观看 • 10 个月前

“My vision for Australia is that we’re all Australians. Remember, regardless of race, colour, creed, or where you are from, we’re all treated as Australians equally on an individual needs basis, not based on race.” A very clear position by Pauline at this week’s news conference on why she wants to abolish the National Indigenous Australians Agency. This agency is responsible for a budget of approximately $4.5 billion. Despite this, Liberal leader Angus Taylor has attacked Pauline, making the following comments: “If she wants to judge people based on the colour of their skin or their race, One Nation needs to explain that. But our position on this is clear.” This goes further than being a misrepresentation; it is an outright lie. The Liberals are desperate. These are the tactics they’re now resorting to. Their record of failure on immigration and integration speaks for itself. They should not be trusted.
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“My vision for Australia is that we’re all Australians. Remember, regardless of race, colour, creed, or where you are from, we’re all treated as Australians equally on an individual needs basis, not based on race.” A very clear position by Pauline at this week’s news conference on why she wants to abolish the National Indigenous Australians Agency. This agency is responsible for a budget of approximately $4.5 billion. Despite this, Liberal leader Angus Taylor has attacked Pauline, making the following comments: “If she wants to judge people based on the colour of their skin or their race, One Nation needs to explain that. But our position on this is clear.” This goes further than being a misrepresentation; it is an outright lie. The Liberals are desperate. These are the tactics they’re now resorting to. Their record of failure on immigration and integration speaks for itself. They should not be trusted.

One Nation Australia

46,968 次观看 • 3 个月前

❗ Cardano Community is going to completely overtake Bitcoin and the rest of the market is simply not ready for it! When we say that this ecosystem will surprise everyone we are speaking the absolute truth. Most people still do not understand how deeply undervalued Cardano really is today. Charles Hoskinson once again confirms this exact reality. Cardano stands entirely alone as the only blockchain with such a powerful and unbreakable foundation. There is a true inevitability playing out right in front of us. We are walking together toward a brighter and fairer decentralized future. The journey ahead is deeply inspiring and the final outcome will bring so much joy to everyone who stayed true to this vision.
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❗ Cardano Community is going to completely overtake Bitcoin and the rest of the market is simply not ready for it! When we say that this ecosystem will surprise everyone we are speaking the absolute truth. Most people still do not understand how deeply undervalued Cardano really is today. Charles Hoskinson once again confirms this exact reality. Cardano stands entirely alone as the only blockchain with such a powerful and unbreakable foundation. There is a true inevitability playing out right in front of us. We are walking together toward a brighter and fairer decentralized future. The journey ahead is deeply inspiring and the final outcome will bring so much joy to everyone who stayed true to this vision.

Everstake

36,419 次观看 • 3 个月前

there are a few things i am laser focused on for 2026 and beyond. here is a brief summary for you, should you be interested in reading more. #1. The Starry Nights; - a 1/1/X series i am curating/creating which is a themed series and follow up to my edition work "la nuit étoilée". For this series, we will be offering exquisite print options with a custom and beautiful Muse Facktory unboxing experience. These will be our debut Muse Facktory prints open to the public and the moment we plant our flag as a true contender in the high caliber Fine Art world of prints. For the digital only collectors, the ultra high resolution artworks will stand on their own within your wallet, waiting for the day we have the means to exhibit our digital art properly and at scale. Each work is 12k pixels, for which we are building a custom viewport for them to be experienced properly, even on mobile. Printing, however, is something I truly enjoy, and the ChromaSculpt technique captures my layering process precisely and beautifully. Offering both is a must for this series, especially since all new works will be still jpgs. The exact quantity will be determined once i feel the series is complete, but not to exceed 1/1/111. It will be a ranked auction with settlement. This is all i can say for now. #2. curation of the servants of the Muse; As you know, i have the “servants of the Muse” collection of 69. When i began this series as a thank you token for 1/1 holders, i created as ERC721 for a reason. To one day bring about the 69 servants of the Muse, all in their true forms. 69 true 1 of 1s. DoomScroller, for example, is but one of the 69. There will be no 2 alike. All will be animated. All will serve at Her pleasure. These will of course only be available to 'servants of the Muse', who will have to pay a toll in order to reveal their servant. Toll price currently undetermined but i am no extractor so it will be reasonable. Some of these beasts and creatures and machines will be ungodly, some will be just, many will be grotesque, but all will serve. #3. Commissioned large scale aluminum sculpture Can’t speak to it beyond that at the moment. #4. Potential Installs and performances for Grand Skull Piano. #5. PROTO I - mounted digital art canvases specific for my animated works. #6. Whatever else the Muse commands. dyor
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there are a few things i am laser focused on for 2026 and beyond. here is a brief summary for you, should you be interested in reading more. #1. The Starry Nights; - a 1/1/X series i am curating/creating which is a themed series and follow up to my edition work "la nuit étoilée". For this series, we will be offering exquisite print options with a custom and beautiful Muse Facktory unboxing experience. These will be our debut Muse Facktory prints open to the public and the moment we plant our flag as a true contender in the high caliber Fine Art world of prints. For the digital only collectors, the ultra high resolution artworks will stand on their own within your wallet, waiting for the day we have the means to exhibit our digital art properly and at scale. Each work is 12k pixels, for which we are building a custom viewport for them to be experienced properly, even on mobile. Printing, however, is something I truly enjoy, and the ChromaSculpt technique captures my layering process precisely and beautifully. Offering both is a must for this series, especially since all new works will be still jpgs. The exact quantity will be determined once i feel the series is complete, but not to exceed 1/1/111. It will be a ranked auction with settlement. This is all i can say for now. #2. curation of the servants of the Muse; As you know, i have the “servants of the Muse” collection of 69. When i began this series as a thank you token for 1/1 holders, i created as ERC721 for a reason. To one day bring about the 69 servants of the Muse, all in their true forms. 69 true 1 of 1s. DoomScroller, for example, is but one of the 69. There will be no 2 alike. All will be animated. All will serve at Her pleasure. These will of course only be available to 'servants of the Muse', who will have to pay a toll in order to reveal their servant. Toll price currently undetermined but i am no extractor so it will be reasonable. Some of these beasts and creatures and machines will be ungodly, some will be just, many will be grotesque, but all will serve. #3. Commissioned large scale aluminum sculpture Can’t speak to it beyond that at the moment. #4. Potential Installs and performances for Grand Skull Piano. #5. PROTO I - mounted digital art canvases specific for my animated works. #6. Whatever else the Muse commands. dyor

a.c.k.

34,506 次观看 • 8 个月前

Scientists suspect that at the threshold of death, the human brain may display activity patterns similar to memory replay. One published study reported intriguing findings from EEG recordings of an 87-year-old patient who died of a heart attack. The study observed elevated gamma brain waves, which are often associated with memory, dreaming, and conscious thought. This phenomenon is sometimes referred to as a “life recall experience,” in which a person subjectively feels as if they are replaying moments from their life immediately before or after the heart stops beating. This may occur because as the brain begins to lose its oxygen supply, it can release bursts of intense neural activity in parts of the cerebral cortex, potentially triggering a surge in memory-related processing. Although more research is needed, these findings offer a new perspective on how the brain may still show organized activity even after the heart has stopped. This could provide a biological basis for various reports of near-death experiences, which often include life review or vivid flashbacks.
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Scientists suspect that at the threshold of death, the human brain may display activity patterns similar to memory replay. One published study reported intriguing findings from EEG recordings of an 87-year-old patient who died of a heart attack. The study observed elevated gamma brain waves, which are often associated with memory, dreaming, and conscious thought. This phenomenon is sometimes referred to as a “life recall experience,” in which a person subjectively feels as if they are replaying moments from their life immediately before or after the heart stops beating. This may occur because as the brain begins to lose its oxygen supply, it can release bursts of intense neural activity in parts of the cerebral cortex, potentially triggering a surge in memory-related processing. Although more research is needed, these findings offer a new perspective on how the brain may still show organized activity even after the heart has stopped. This could provide a biological basis for various reports of near-death experiences, which often include life review or vivid flashbacks.

Kekius Maximus

1,079,947 次观看 • 7 个月前