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equanimous
Norse clairvoyant shapeshifter goddess
Unrelated but a good news story worth sharing
"When 79-year-old George retired, he didn’t buy a golf club or a hammock. He hung a handmade sign in his garage window: “Broken things? Bring ’em here. No charge. Just tea and talk.” His neighbors in the faded mill town of Maple Grove thought he’d lost it. “Who fixes stuff for free?” grumbled the barber.
But George had a reason. His wife, Ruth, had spent decades repairing torn coats and cracked picture frames for anyone who knocked. “Waste is a habit,” she’d say. “Kindness is the cure.” She’d died the year before, and George’s hands itched to mend what she’d left behind.
The first visitor was 8-year-old Mia, dragging a plastic toy truck with a missing wheel. “Dad says we can’t afford a new one,” she mumbled. George rummaged through his toolbox, humming. An hour later, the truck rolled again—this time with a bottle cap for a wheel and a stripe of silver duct tape. “Now it’s custom ,” he winked. Mia left smiling, but her mother lingered. “Can you… fix a résumé?” she asked. “I’ve been stuck on the couch since the factory closed.” By noon, George’s garage buzzed. A widow brought a shattered clock (“My husband wound it every Sunday”).
A teen carried a leaky backpack. George fixed them all, but he didn’t work alone. Retired teachers proofread résumés. A former seamstress stitched torn backpacks. Even Mia returned, handing him a jar of jam: “Mom says thanks for the job interview.”
Then came the complaint. “Unlicensed business,” snapped the city inspector. “You’re violating zoning laws.” Maple Grove’s mayor, a man with a spreadsheet heart, demanded George shut down.
The next morning, 40 townsfolk stood on George’s lawn, holding broken toasters, torn quilts, and protest signs: “Fix the law, not just stuff!” A local reporter filmed a segment: “Is kindness illegal?” The mayor caved. Sort of. “If you want to ‘fix’ things, do it downtown,” he said. “Rent the old firehouse. But no guarantees.” The firehouse became a hive. Volunteers gutted it, painted it sunshine yellow, and dubbed it “Ruth’s Hub.”
Plumbers taught plumbing. Teenagers learned to darn socks. A baker swapped muffins for repaired microwaves. The town’s waste dropped by 30%. But the real magic? Conversations. A lonely widow fixed a lamp while a single dad patched a bike tire. They talked about Ruth. About loss. About hope. Last week, George found a note in his mailbox. It was from Mia, now 16, interning at a robotics lab. “You taught me to see value in broken things. I’m building a solar-powered prosthetic arm. PS: The truck still runs!”
Today, 12 towns across the state have “Fix-It Hubs.” None charge money. All serve tea. Funny, isn’t it? How a man with a screwdriver can rebuild a world." .
"When 79-year-old George retired, he didn’t buy a golf club or a hammock. He hung a handmade sign in his garage window: “Broken things? Bring ’em here. No charge. Just tea and talk.” His neighbors in the faded mill town of Maple Grove thought he’d lost it. “Who fixes stuff for free?” grumbled the barber.
But George had a reason. His wife, Ruth, had spent decades repairing torn coats and cracked picture frames for anyone who knocked. “Waste is a habit,” she’d say. “Kindness is the cure.” She’d died the year before, and George’s hands itched to mend what she’d left behind.
The first visitor was 8-year-old Mia, dragging a plastic toy truck with a missing wheel. “Dad says we can’t afford a new one,” she mumbled. George rummaged through his toolbox, humming. An hour later, the truck rolled again—this time with a bottle cap for a wheel and a stripe of silver duct tape. “Now it’s custom ,” he winked. Mia left smiling, but her mother lingered. “Can you… fix a résumé?” she asked. “I’ve been stuck on the couch since the factory closed.” By noon, George’s garage buzzed. A widow brought a shattered clock (“My husband wound it every Sunday”).
A teen carried a leaky backpack. George fixed them all, but he didn’t work alone. Retired teachers proofread résumés. A former seamstress stitched torn backpacks. Even Mia returned, handing him a jar of jam: “Mom says thanks for the job interview.”
Then came the complaint. “Unlicensed business,” snapped the city inspector. “You’re violating zoning laws.” Maple Grove’s mayor, a man with a spreadsheet heart, demanded George shut down.
The next morning, 40 townsfolk stood on George’s lawn, holding broken toasters, torn quilts, and protest signs: “Fix the law, not just stuff!” A local reporter filmed a segment: “Is kindness illegal?” The mayor caved. Sort of. “If you want to ‘fix’ things, do it downtown,” he said. “Rent the old firehouse. But no guarantees.” The firehouse became a hive. Volunteers gutted it, painted it sunshine yellow, and dubbed it “Ruth’s Hub.”
Plumbers taught plumbing. Teenagers learned to darn socks. A baker swapped muffins for repaired microwaves. The town’s waste dropped by 30%. But the real magic? Conversations. A lonely widow fixed a lamp while a single dad patched a bike tire. They talked about Ruth. About loss. About hope. Last week, George found a note in his mailbox. It was from Mia, now 16, interning at a robotics lab. “You taught me to see value in broken things. I’m building a solar-powered prosthetic arm. PS: The truck still runs!”
Today, 12 towns across the state have “Fix-It Hubs.” None charge money. All serve tea. Funny, isn’t it? How a man with a screwdriver can rebuild a world." .
Luppo71
Founding Member
Go find one of these, will work just as good.
Attachments
Battery life issue? No problemHowdy All,
I just came across a very interesting article published just a few days ago discussing Qualcomm’s latest chip for smart glasses. In it, Qualcomm’s Head of XR, Ziad Asghar, announces that the new processor is 20% smaller and 5% more power efficient.
But then - and here’s the kicker - he openly admits that battery life is still a problem!!!
Check out this quote:
"Asghar admits that glasses have a battery life problem at the moment but says some solutions could pop up."
The article goes on to say the chip might not boost battery life that much, and floats other potential fixes like more on-phone processing, connected pucks, doubling the battery, or even designs with replaceable batteries.
Is it just me, or does anyone else think this is pretty significant?
We already know that the NEXA Smart Glasses from Onsor Technologies, which use BrainChip’s Akida processor, have achieved all-day battery life, without external battery packs or reliance on the cloud.
So, if battery life is such a clear and persistent issue in the AR/XR wearables space, and BrainChip has a chip that literally solves it… surely Qualcomm has to be aware of this?
To be fair, Asghar probably doesn't want to go announcing to the the whole world that “BrainChip is the solution!” It wouldn't exactly be a smart move since they're trying to secure a competitive edge. But, let’s be real, if Qualcomm and other companies in the smart glasses space haven't been exploring licensing Akida or something similar, it'd be like trying to build a race car but refusing to use tires IMO.
EXTRACT from article titled "How a Tiny Chip Could Power Up Smart Glasses" Published 10 June 2025
View attachment 87150
How a Tiny Chip Could Power Up Smart Glasses Like Meta Ray-Bans Next Year
Qualcomm's head of XR tells me about its latest processor for glasses and how it will improve cameras, battery life and AI.www.cnet.com
View attachment 87149
Onsor Announces Seizure-Detecting Wearable, Powered by BrainChip's Akida Technology
Ultra-low-power on-device model acceleration delivers claimed "all-day" battery life in a compact pair of smart glasses.www.hackster.io
CHIPS
Regular
Nice story. In Germany, it is called repair café. They are only open every few weeks, but they are also free, and there is a jar where you can put in some money if you like, but you do not need to. They repaired my sewing machine.
Fullmoonfever
Top 20
CHIPS
Regular
Do they repair broken share prices at all?
Asking for a friend
I doubt it, but I will check with them next time for your friend. If alcohol had the same surface tension as mercury, the meniscus would let you fit more in the glass.
Could someone with more tech knowledge than me reply to Sanjeev the Principal Engineer @ SpaceX, put Brainchip under his nose. The below is in the comments section of the above post from 7hrs ago, I think I read that right.
Todd Vierra at the EDGE AI FOUNDATION event in Austin
www.linkedin.com
At the EDGE AI FOUNDATION event in Austin, we caught up with Todd Vierra, Head of Customer Engagement at BrainChip, an AI IP company building low-power, high-performance solutions for edge deployment. | 5V Tech | Certified B Corp™
At the EDGE AI FOUNDATION event in Austin, we caught up with Todd Vierra, Head of Customer Engagement at BrainChip, an AI IP company building low-power, high-performance solutions for edge deployment. Todd shared how BrainChip is helping shift the AI conversation away from data centers and...
Can the next generation of AI run at 20 watts?
Scientists are targeting neuromorphic computing
Faced with the AI energy crisis, scientists are looking for breakthroughs in neuromorphic computing technology, aiming to make AI run as efficiently as the human brain. Researchers simulated the structure of the human brain and built a supercomputer that consumes only 10 kilowatts of power, occupies two square meters, but is 250,000 to 1 million times faster than a biological brain. Neuromorphic computing can achieve efficient and energy-saving operation by simulating the structure of the brain's neural network, using event-driven communication and memory computing.
The latest progress is led by the US National Laboratory. Scientists are trying to bring science fiction into reality: building a supercomputer with a space of only two square meters and the number of neurons comparable to the human cerebral cortex.
Even more amazing is that calculations show that this neuromorphic computer could run 250,000 to 1 million times faster than a biological brain , while consuming only 10 kilowatts of power (only slightly more than the energy consumption of a household air conditioner), which is undoubtedly a shot in the arm for the current dilemma of AI development.
Artificial intelligence is currently facing an "energy crisis". With the explosive development of technologies such as large language models, its astonishing power consumption has become a heavy burden that cannot be ignored.
Projections suggest that by 2027, the electricity bill alone to run these models could be as much as $25 trillion—more than the U.S. GDP that year.
In comparison, the most powerful intelligent being in nature, the human brain, consumes only about 20 watts per day , which is equivalent to the power of a household LED light bulb.
Scientists can't help but wonder:
Can AI be as efficient as the human brain ?
20瓦就能运行下一代AI？科学家瞄上了神经形态计算
面对AI能源危机，科学家瞄准神经形态计算技术寻求突破，旨在让AI像人脑一样高效运行。研究人员模拟人脑结构，构建仅需10千瓦功耗、占地两平方米但速度比生物大脑快25-100万倍的超级计算机。神经形态计算通过模拟大脑神经网络结构，采用事件驱动型通信和内存计算，能实现高效节能运行。
wallstreetcn.com
Can the next generation of AI run at 20 watts?
Scientists are targeting neuromorphic computing
Faced with the AI energy crisis, scientists are looking for breakthroughs in neuromorphic computing technology, aiming to make AI run as efficiently as the human brain. Researchers simulated the structure of the human brain and built a supercomputer that consumes only 10 kilowatts of power, occupies two square meters, but is 250,000 to 1 million times faster than a biological brain. Neuromorphic computing can achieve efficient and energy-saving operation by simulating the structure of the brain's neural network, using event-driven communication and memory computing.
The latest progress is led by the US National Laboratory. Scientists are trying to bring science fiction into reality: building a supercomputer with a space of only two square meters and the number of neurons comparable to the human cerebral cortex.
Even more amazing is that calculations show that this neuromorphic computer could run 250,000 to 1 million times faster than a biological brain , while consuming only 10 kilowatts of power (only slightly more than the energy consumption of a household air conditioner), which is undoubtedly a shot in the arm for the current dilemma of AI development.
Artificial intelligence is currently facing an "energy crisis". With the explosive development of technologies such as large language models, its astonishing power consumption has become a heavy burden that cannot be ignored.
Projections suggest that by 2027, the electricity bill alone to run these models could be as much as $25 trillion—more than the U.S. GDP that year.
In comparison, the most powerful intelligent being in nature, the human brain, consumes only about 20 watts per day , which is equivalent to the power of a household LED light bulb.
Scientists can't help but wonder:
Can AI be as efficient as the human brain ?
20瓦就能运行下一代AI？科学家瞄上了神经形态计算
面对AI能源危机，科学家瞄准神经形态计算技术寻求突破，旨在让AI像人脑一样高效运行。研究人员模拟人脑结构，构建仅需10千瓦功耗、占地两平方米但速度比生物大脑快25-100万倍的超级计算机。神经形态计算通过模拟大脑神经网络结构，采用事件驱动型通信和内存计算，能实现高效节能运行。
Can the next generation of AI run at 20 watts? Scientists are targeting neuromorphic computing
Quantum bits08:06
Faced with the AI energy crisis, scientists are looking for breakthroughs in neuromorphic computing technology, aiming to make AI run as efficiently as the human brain. Researchers simulated the structure of the human brain and built a supercomputer that consumes only 10 kilowatts of power, occupies two square meters, but is 250,000 to 1 million times faster than a biological brain. Neuromorphic computing can achieve efficient and energy-saving operation by simulating the structure of the brain's neural network, using event-driven communication and memory computing.
"Westworld" is really coming! Scientists are trying to equip AI with human brains.
The latest progress is led by the US National Laboratory. Scientists are trying to bring science fiction into reality: building a supercomputer with a space of only two square meters and the number of neurons comparable to the human cerebral cortex.
Even more amazing is that calculations show that this neuromorphic computer could run 250,000 to 1 million times faster than a biological brain , while consuming only 10 kilowatts of power (only slightly more than the energy consumption of a household air conditioner), which is undoubtedly a shot in the arm for the current dilemma of AI development.
Artificial intelligence is currently facing an "energy crisis". With the explosive development of technologies such as large language models, its astonishing power consumption has become a heavy burden that cannot be ignored.
Projections suggest that by 2027, the electricity bill alone to run these models could be as much as $25 trillion—more than the U.S. GDP that year.
In comparison, the most powerful intelligent being in nature, the human brain, consumes only about 20 watts per day , which is equivalent to the power of a household LED light bulb. Scientists can't help but wonder: Can AI be as efficient as the human brain ?
The answer: neuromorphic computing .
This cutting-edge technology, which aims to simulate the structure and operation of the human brain, is being seen as a key direction for the next generation of AI. One of its core goals is to drive powerful intelligence with "light bulb-level" energy consumption.
Neuromorphic computing: learning from the brain
In the human brain, there are about 86 billion complex neurons working together and building a huge signal transmission network through 100 trillion synapses.Inspired by their structure and functionality, neuromorphic computing is built using energy-efficient electronic and photonic networks that mimic biological neural networks, namely spiking neural networks (SNNs), and aims to integrate memory, processing, and learning into a unified design.
Its main features include:
Unlike current AI models that rely on binary supercomputer processing, it can dynamically adjust based on its understanding of the world, making it smarter, more flexible, and less susceptible to interference.
For example, when a tester wearing a T-shirt with a stop sign walked in front of an autonomous car, the car controlled by traditional AI stopped because it was unable to discern the context.
In contrast, a neuromorphic computer processes information through feedback loops and context-driven checks, which can clearly determine that the stop sign is on the T-shirt and allow the car to continue driving.
This difference is not surprising. After all, neuromorphic computing simulates the most efficient and powerful reasoning and prediction engine in nature. Scientists therefore believe that the next wave of artificial intelligence technology explosion must be a combination of physics and neuroscience.
Prospects for a new round of technological revolution
At present, relevant research is in full swing. Existing neuromorphic computers have more than 1 billion neurons connected by more than 100 billion synapses. Although it is only a drop in the bucket compared to the complexity of the human brain, it also reasonably proves that this technology can achieve brain-level expansion.
Jeff Shainline of the National Institute of Standards and Technology said:
Technology companies such as IBM and Intel are at the forefront of this technological revolution. The TrueNorth chip developed by IBM in 2014 and the Loihi chip launched by Intel in 2018 are both hardware products designed to simulate the neural activity of the brain, paving the way for subsequent new AI models.
In addition, some startups focusing on neuromorphic computing are also beginning to emerge. For example, BrainChip has launched the Akida neuromorphic processor , which is designed for low-power but powerful edge AI and can be widely used in always-online smart homes, factories or city sensors.
At the same time, according to The Business Research Company, by 2025, the global neuromorphic computing market size will grow exponentially to US$1.81 billion , with a compound annual growth rate of 25.7% .
In the longer term, scientists hope that neuromorphic computing will transcend the traditional boundaries of artificial intelligence and get closer to human intelligent reasoning patterns, bringing new technological breakthroughs to the next generation of intelligent systems and even AGI.
I find it interesting how people believe that AI will bring about the downfall of humanity… but honestly, we don’t need AI for that … humans are already doing a pretty good job on their own.
Through wars, disgusting child and human trafficking, modern slavery, power struggles, greed… the list goes on and on.
So what exactly could AI make worse?
I believe AI is actually a chance to improve human life… through security systems, modern surveillance, fast identification of criminals, and more.
And I think AI can help us build systems and solve problems that humanity alone could never achieve.
Just my opinion… but maybe it’s time to think a little more positively.
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