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A simple visualization of Fluid efficiency Like a server, the same function instance can deal with multiple in-flight requests. Great for '↻ Thinking' LLMs. This is not a 'demo'. It's backed by real Fluid functions that report back their UUIDs (at 75% less cost.)

Guillermo Rauch

386,384 subscribers

36,096 просмотров • 1 год назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

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Bernoulli's Principle It’s a key idea in fluid dynamics named after Daniel Bernoulli. In simple terms: For a fluid flowing smoothly, an increase in the fluid’s speed happens at the same time as a decrease in pressure or a decrease in the fluid’s potential energy. Where: - P = pressure in the fluid - ρ = fluid density - v = flow velocity - g = acceleration due to gravity - h = height above a reference point Bernoulli's Principle basically says that for a fluid that's flowing smoothly, when its speed goes up, its pressure goes down. Think of it like this: fast-moving air or water pushes less sideways than slow-moving air or water. The energy in the fluid stays the same overall, but it shifts between motion, pressure, and height. That's why an airplane wing creates lift. The air moves faster over the curved top of the wing than underneath, so the pressure on top is lower. The higher pressure below pushes the wing up.

Bernoulli's Principle It’s a key idea in fluid dynamics named after Daniel Bernoulli. In simple terms: For a fluid flowing smoothly, an increase in the fluid’s speed happens at the same time as a decrease in pressure or a decrease in the fluid’s potential energy. Where: - P = pressure in the fluid - ρ = fluid density - v = flow velocity - g = acceleration due to gravity - h = height above a reference point Bernoulli's Principle basically says that for a fluid that's flowing smoothly, when its speed goes up, its pressure goes down. Think of it like this: fast-moving air or water pushes less sideways than slow-moving air or water. The energy in the fluid stays the same overall, but it shifts between motion, pressure, and height. That's why an airplane wing creates lift. The air moves faster over the curved top of the wing than underneath, so the pressure on top is lower. The higher pressure below pushes the wing up.

Sam Mathverse

27,791 просмотров • 3 месяцев назад

CSS Clamp function 🌟 -> clamp() is a function in CSS that provides a concise way for combining both the min() and max() functions. ⚠ Note: This can be achieved by this also - min(100px, max(50%, 200px))

CSS Clamp function 🌟 -> clamp() is a function in CSS that provides a concise way for combining both the min() and max() functions. ⚠ Note: This can be achieved by this also - min(100px, max(50%, 200px))

Prasenjit

78,754 просмотров • 1 год назад

Everyone loves the SPAS-12. I was thinking about it because of the Turkish "clone" that popped up at a recent trade show. It's not an actual copy, it's a completely different action in a wrapper that looks like a SPAS-12. Anyway, here's the real deal firing semi-auto.

Everyone loves the SPAS-12. I was thinking about it because of the Turkish "clone" that popped up at a recent trade show. It's not an actual copy, it's a completely different action in a wrapper that looks like a SPAS-12. Anyway, here's the real deal firing semi-auto.

Military Arms

33,448 просмотров • 5 месяцев назад

This looks like a simple transparent shock absorber filled with oil. But what you are seeing is one of the most destructive phenomena in fluid engineering. This is cavitation in its true form. The white cloud forming beneath the piston is not foam and it is not air. The oil is literally changing from liquid to vapour at room temperature. When the piston moves rapidly, the oil is forced through tiny passages inside the damper. The fluid velocity increases, the local pressure drops, and if it falls below the oil's vapour pressure, the liquid begins to boil without any increase in temperature. The moment the pressure recovers, those microscopic vapour bubbles collapse almost instantly. And that is where the real damage begins. The destructive forces of cavitation is really not understood well by most. A collapsing cavitation bubble creates shockwaves and high-speed microjets that strike nearby surfaces with enormous local forces. Repeated millions of times, these tiny implosions can slowly eat away hardened metals, destroy precision components and reduce the lifespan of expensive machinery across industries. This same invisible phenomenon is one of the biggest challenges in naval engineering. Ship propellers operating under enormous loads can suffer cavitation erosion, losing efficiency while creating underwater noise. For advanced stealth submarines, that noise can become a major problem because cavitation can reveal their position. Decades of research have gone into specialised propeller designs, pump-jets, surface finishes and hydrodynamic optimisation to delay its formation. The same issues affects hydroelectric turbines that convert the energy of entire rivers into electricity, and industrial pumps that move oil, chemicals and water through critical infrastructure around the world. Perhaps the most remarkable part is that after 4-5 decades of advances in metallurgy, coatings and manufacturing, engineers still cannot simply build a material that is immune to cavitation. The solution is not to make stronger metals forever. It is to understand the fluid dynamics so precisely that cavitation is prevented before in those destructive bubbles ever form.

This looks like a simple transparent shock absorber filled with oil. But what you are seeing is one of the most destructive phenomena in fluid engineering. This is cavitation in its true form. The white cloud forming beneath the piston is not foam and it is not air. The oil is literally changing from liquid to vapour at room temperature. When the piston moves rapidly, the oil is forced through tiny passages inside the damper. The fluid velocity increases, the local pressure drops, and if it falls below the oil's vapour pressure, the liquid begins to boil without any increase in temperature. The moment the pressure recovers, those microscopic vapour bubbles collapse almost instantly. And that is where the real damage begins. The destructive forces of cavitation is really not understood well by most. A collapsing cavitation bubble creates shockwaves and high-speed microjets that strike nearby surfaces with enormous local forces. Repeated millions of times, these tiny implosions can slowly eat away hardened metals, destroy precision components and reduce the lifespan of expensive machinery across industries. This same invisible phenomenon is one of the biggest challenges in naval engineering. Ship propellers operating under enormous loads can suffer cavitation erosion, losing efficiency while creating underwater noise. For advanced stealth submarines, that noise can become a major problem because cavitation can reveal their position. Decades of research have gone into specialised propeller designs, pump-jets, surface finishes and hydrodynamic optimisation to delay its formation. The same issues affects hydroelectric turbines that convert the energy of entire rivers into electricity, and industrial pumps that move oil, chemicals and water through critical infrastructure around the world. Perhaps the most remarkable part is that after 4-5 decades of advances in metallurgy, coatings and manufacturing, engineers still cannot simply build a material that is immune to cavitation. The solution is not to make stronger metals forever. It is to understand the fluid dynamics so precisely that cavitation is prevented before in those destructive bubbles ever form.

Ammanichanda

1,188,577 просмотров • 1 месяц назад

What looks like a server boiling underwater is actually one of the most advanced cooling technologies used in modern computing This demonstration showcases a two-phase immersion cooling system, a method increasingly explored for high-performance computing and AI infrastructure where traditional air cooling becomes less efficient. Instead of using fans to move heat away, server components are submerged in a specialized non-conductive dielectric fluid that safely surrounds the electronics without causing electrical short circuits. As processors generate heat, the liquid absorbs thermal energy and begins to boil directly at the component surface.

What looks like a server boiling underwater is actually one of the most advanced cooling technologies used in modern computing This demonstration showcases a two-phase immersion cooling system, a method increasingly explored for high-performance computing and AI infrastructure where traditional air cooling becomes less efficient. Instead of using fans to move heat away, server components are submerged in a specialized non-conductive dielectric fluid that safely surrounds the electronics without causing electrical short circuits. As processors generate heat, the liquid absorbs thermal energy and begins to boil directly at the component surface.

Amazing Things

105,562 просмотров • 3 месяцев назад

Not every drone flight is 100% hit the most fancy target. In this case, pilot hits a motorcycle used by Russian idiots near their safe house. This is great and viable - if you hit at least something, it's a great result. Most drones miss completely due to various reasons.

Not every drone flight is 100% hit the most fancy target. In this case, pilot hits a motorcycle used by Russian idiots near their safe house. This is great and viable - if you hit at least something, it's a great result. Most drones miss completely due to various reasons.

Dimko Zhluktenko 🇺🇦⚔️

33,719 просмотров • 7 месяцев назад

The Tesla Cybercab doesn't have ANY brake fluid. It is the first production vehicle to have a brake-by-wire system. Electronic actuators are responsible for the clamping pressure, rather than hydraulic fluid that you see in traditional vehicles. This system improves efficiency since the brake pads can fully disengage. They can go entirely off or on. It also enables Tesla to fine-tune the braking to be as smooth as possible. PLUS, when the car is built with the unboxed process, Tesla doesn't need to run any brake lines, everything is seamless.

The Tesla Cybercab doesn't have ANY brake fluid. It is the first production vehicle to have a brake-by-wire system. Electronic actuators are responsible for the clamping pressure, rather than hydraulic fluid that you see in traditional vehicles. This system improves efficiency since the brake pads can fully disengage. They can go entirely off or on. It also enables Tesla to fine-tune the braking to be as smooth as possible. PLUS, when the car is built with the unboxed process, Tesla doesn't need to run any brake lines, everything is seamless.

Nic Cruz Patane

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I'm about the same age maybe a year older 64 in a few months Training for health is not the same as training for the sport of bodybuilding which relies on drugs. It's not something that can give one long term health in most cases but you can sell a shitloads of supplements to consumers Taking meds even TRT is foolish in my opinion. Don't follow their example it's a poor choice

I'm about the same age maybe a year older 64 in a few months Training for health is not the same as training for the sport of bodybuilding which relies on drugs. It's not something that can give one long term health in most cases but you can sell a shitloads of supplements to consumers Taking meds even TRT is foolish in my opinion. Don't follow their example it's a poor choice

mpetrus

515,448 просмотров • 2 месяцев назад

This truck was stopped by our CVSA Inspector D/Cst Bonney Operator tried to “fix” a leak in the brakes hydraulic fluid system with a pair of vice grips. As you can see, that did not work; and it would be illegal anyways…. Over on RGW by 5800kgs. Plates off/charges issued.

This truck was stopped by our CVSA Inspector D/Cst Bonney Operator tried to “fix” a leak in the brakes hydraulic fluid system with a pair of vice grips. As you can see, that did not work; and it would be illegal anyways…. Over on RGW by 5800kgs. Plates off/charges issued.

HRPS - Commercial Vehicle Unit

21,329 просмотров • 2 месяцев назад

If you’ve ever had a toddler, you can probably guess where this conversation is “headed!” 😀 Young children are famous for their literal thinking - which is largely a function of their emergent language learning. Put simply, as we learn words, it takes time and exposure to understand that many have multiple meanings. Our language is, likewise, chock full of expressions and metaphors the meaning of which can be quite different from what their literal interpretation might entail. So when you ask a toddler to “face the table,” don’t be surprised when you get a result that looks something like this. So great! This adorably compliant little one was posted to IG by melwire.

If you’ve ever had a toddler, you can probably guess where this conversation is “headed!” 😀 Young children are famous for their literal thinking - which is largely a function of their emergent language learning. Put simply, as we learn words, it takes time and exposure to understand that many have multiple meanings. Our language is, likewise, chock full of expressions and metaphors the meaning of which can be quite different from what their literal interpretation might entail. So when you ask a toddler to “face the table,” don’t be surprised when you get a result that looks something like this. So great! This adorably compliant little one was posted to IG by melwire.

Dan Wuori

199,271 просмотров • 3 лет назад

I stopped being a big NBA fan at the end of the 1990s. I came back to it in the last few years. I feel like I came back to something that is a fundamentally different game. It's almost not the same sport. This simply didn't exist back in the 1990s.

I stopped being a big NBA fan at the end of the 1990s. I came back to it in the last few years. I feel like I came back to something that is a fundamentally different game. It's almost not the same sport. This simply didn't exist back in the 1990s.

David Sirota

275,714 просмотров • 2 лет назад

This is the stadium of Real Madrid. But today, it is not filled for football. Over 80,000 Catholics from the Diocesan Community of Madrid gathered here for an encounter with Pope Leo. In a world that constantly predicts the decline of faith, moments like this remind us of a simple truth: The Church is alive.

This is the stadium of Real Madrid. But today, it is not filled for football. Over 80,000 Catholics from the Diocesan Community of Madrid gathered here for an encounter with Pope Leo. In a world that constantly predicts the decline of faith, moments like this remind us of a simple truth: The Church is alive.

Ugochukwu Ugwoke, ISch

18,362 просмотров • 2 месяцев назад

Routing for long-horizon coding agents is a big deal. Not Diamond just announced a model router that works natively with Claude Code. This is huge. It picks the model and reasoning effort before each turn in a session, runs through a privacy-preserving local proxy, and your requests still execute through your own gateway. In their benchmarks, it approximates Opus 4.8 Xhigh quality at 39 to 61 percent lower cost.

Routing for long-horizon coding agents is a big deal. Not Diamond just announced a model router that works natively with Claude Code. This is huge. It picks the model and reasoning effort before each turn in a session, runs through a privacy-preserving local proxy, and your requests still execute through your own gateway. In their benchmarks, it approximates Opus 4.8 Xhigh quality at 39 to 61 percent lower cost.

elvis

13,699 просмотров • 1 месяц назад

KIMI K3 VS OPUS 4.8 SIMULATING A 3D PARTICLE SYSTEM same prompt, same target: thousands of particles reacting to gravity and to each other in real time → K3: more organic distribution, smoother motion, particles actually cluster and drift like something physical → Opus: more rigid pattern, less natural, movement reads more like a grid than a simulation K3: $0.65 in API. Opus 4.8: ~$1.30 this is simulated physics, not just aesthetics, and it's the kind of detail that separates a demo from something you'd actually ship

KIMI K3 VS OPUS 4.8 SIMULATING A 3D PARTICLE SYSTEM same prompt, same target: thousands of particles reacting to gravity and to each other in real time → K3: more organic distribution, smoother motion, particles actually cluster and drift like something physical → Opus: more rigid pattern, less natural, movement reads more like a grid than a simulation K3: $0.65 in API. Opus 4.8: ~$1.30 this is simulated physics, not just aesthetics, and it's the kind of detail that separates a demo from something you'd actually ship

Jade

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A dual-socket Xeon server with 512GB of ECC RAM sells for under $2,000 after AWS retires it. Two open chassis sit on a desk. Heatsinks the size of a fist. Every RAM slot filled. Fiber cables still warm. Network cards and PCIe risers that once pushed millions of requests a day. This is not a lab. It is someone’s workspace. Hardware built for five years of 24/7 load leaves the datacenter after three or four. A machine that cost $50,000 new appears on the used market for $500–2,000. The CPUs still work. The memory still works. Only the balance sheet changed. Dual-socket Xeons and hundreds of gigabytes of ECC RAM load models that choke consumer boards. Multiple VMs, databases, and inference jobs run at once without strain. That is the exact job these boards were designed for. The cost is power and noise. 500–1,000 watts under load. A jet-engine soundtrack. The electricity bill notices. Most people spend $2,000 on a mini PC with 128GB. This one cost less and delivers 512GB+ of server-grade memory plus dual enterprise CPUs that were processing production traffic six months earlier. A Mac Mini looks like a toy next to the heatsinks.

A dual-socket Xeon server with 512GB of ECC RAM sells for under $2,000 after AWS retires it. Two open chassis sit on a desk. Heatsinks the size of a fist. Every RAM slot filled. Fiber cables still warm. Network cards and PCIe risers that once pushed millions of requests a day. This is not a lab. It is someone’s workspace. Hardware built for five years of 24/7 load leaves the datacenter after three or four. A machine that cost $50,000 new appears on the used market for $500–2,000. The CPUs still work. The memory still works. Only the balance sheet changed. Dual-socket Xeons and hundreds of gigabytes of ECC RAM load models that choke consumer boards. Multiple VMs, databases, and inference jobs run at once without strain. That is the exact job these boards were designed for. The cost is power and noise. 500–1,000 watts under load. A jet-engine soundtrack. The electricity bill notices. Most people spend $2,000 on a mini PC with 128GB. This one cost less and delivers 512GB+ of server-grade memory plus dual enterprise CPUs that were processing production traffic six months earlier. A Mac Mini looks like a toy next to the heatsinks.

HodlReaper

77,912 просмотров • 29 дней назад

Well, this is great The Princess of Wales on Court 18 at #Wimbledon ! This is not a show court -anyone with a ground pass can get a seat Her security is low-key and there’s none of the demands for king levels of protection that ‘others’ bore us with She really is a queen

Well, this is great The Princess of Wales on Court 18 at #Wimbledon ! This is not a show court -anyone with a ground pass can get a seat Her security is low-key and there’s none of the demands for king levels of protection that ‘others’ bore us with She really is a queen

It's a lawyer's life

16,521 просмотров • 2 месяцев назад

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 просмотров • 1 месяц назад

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

301,306 просмотров • 8 месяцев назад

SECRETARY RUBIO on help from the G7: It’s not help for us. Like I said, very little of U.S. energy comes through the Strait of Hormuz. It's the world that has a great interest in that. So they should step up and deal with it.

SECRETARY RUBIO on help from the G7: It’s not help for us. Like I said, very little of U.S. energy comes through the Strait of Hormuz. It's the world that has a great interest in that. So they should step up and deal with it.

Department of State

100,373 просмотров • 5 месяцев назад