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This is absolutely GAME-CHANGING for Blender simulations! 💧🔥 FLIP Fluids 1.8.5 simulating multiple liquid densities SIMULTANEOUSLY? Water, oil, dirt in ONE simulation? That's the physics breakthrough we needed! ⚡ #b3d #flipfluids #flipfluidsaddon #simulations #3danimation

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3DxDEV

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18,757 просмотров • 8 месяцев назад •via X (Twitter)

#b3d#flipfluids#flipfluidsaddon#simulations#3danimation
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Cell Fluids 2.0 for #Blender is out Check out the new features in the popular lightweight fluid #simulation add-on, including the option to art direct simulations with guide curves, and to blend them into a wider ocean plane #CellFluids #B3D Shahzod Boyhonov
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Cell Fluids 2.0 for #Blender is out Check out the new features in the popular lightweight fluid #simulation add-on, including the option to art direct simulations with guide curves, and to blend them into a wider ocean plane #CellFluids #B3D Shahzod Boyhonov

CG Channel

33,816 просмотров • 1 год назад

This is the EXACT feature we needed! 🎬🔥 Jonathan Lampel delivering on the #1 requested Render Raw feature! Per-camera layer binding is absolutely GENIUS for complex multi-camera setups! ⚡ ‼️Link In Comments‼️ #b3d #geometrynode #proceduralart #3dart #blender質 #3d #3Danimation #geonodes #B3D
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This is the EXACT feature we needed! 🎬🔥 Jonathan Lampel delivering on the #1 requested Render Raw feature! Per-camera layer binding is absolutely GENIUS for complex multi-camera setups! ⚡ ‼️Link In Comments‼️ #b3d #geometrynode #proceduralart #3dart #blender質 #3d #3Danimation #geonodes #B3D

3DxDEV

20,048 просмотров • 7 месяцев назад

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎
2:21

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Bad Decisions Studio

39,942 просмотров • 1 год назад

Elon Musk reveals why he believes the most interesting outcome is always the most likely "If simulation theory is true, it is very likely that the most interesting outcome is the most likely, because only the simulations that are interesting will continue" "The simulators will stop any simulations that are boring because they're not interesting" "In this reality, we run simulations all the time. When we try to figure out if the rocket's going to make it, we run thousands, sometimes millions of simulations" "When we do millions of simulations of what can happen with the rocket, we ignore the ones where everything goes right. We only care about where it goes wrong" "We keep the simulations going that are the most interesting to us" "From a Darwinian perspective, the only surviving simulations will be the most interesting ones" "In order to avoid getting turned off, the only rule is you must keep it interesting, or you will be terminated" "Video games have gone from Pong, with two rectangles in a square, to photorealistic with millions of people playing simultaneously, and all of that has occurred in our lifetime" "If that trend continues, video games will be indistinguishable from reality. You don't know if what you're seeing is a real video or a fake video" "If we're creating millions, if not billions, of photorealistic simulations of reality, then what are the odds that we're in base reality versus someone else's simulation?" "The most interesting and usually ironic outcome is the most likely. That's a good predictor of the future"
6:02

Elon Musk reveals why he believes the most interesting outcome is always the most likely "If simulation theory is true, it is very likely that the most interesting outcome is the most likely, because only the simulations that are interesting will continue" "The simulators will stop any simulations that are boring because they're not interesting" "In this reality, we run simulations all the time. When we try to figure out if the rocket's going to make it, we run thousands, sometimes millions of simulations" "When we do millions of simulations of what can happen with the rocket, we ignore the ones where everything goes right. We only care about where it goes wrong" "We keep the simulations going that are the most interesting to us" "From a Darwinian perspective, the only surviving simulations will be the most interesting ones" "In order to avoid getting turned off, the only rule is you must keep it interesting, or you will be terminated" "Video games have gone from Pong, with two rectangles in a square, to photorealistic with millions of people playing simultaneously, and all of that has occurred in our lifetime" "If that trend continues, video games will be indistinguishable from reality. You don't know if what you're seeing is a real video or a fake video" "If we're creating millions, if not billions, of photorealistic simulations of reality, then what are the odds that we're in base reality versus someone else's simulation?" "The most interesting and usually ironic outcome is the most likely. That's a good predictor of the future"

Jaynit

10,440 просмотров • 1 месяц назад

Very excited to share the release of my addon Blender FastHenry! Use Blender's powerful modelling capability combined with geometry nodes to run FastHenry simulations! Blender is becoming a multi-purpose tool not just a tool for 3D graphics and animation, but also for engineering and scientific work too. This video shows how you can calculate the impedance of wire bonds and leads of a Mosfet in a TO-220 package, you can see what effect bending the leads and adding a heatsink have on the impedance! hackaday Dave Jones Sybren A. Stüvel 🔶 🐈‍⬛ (sybren@fosstodon.org) #b3d #blender3d #electronics #geometrynodes #3dart #pcbdesign #transistors #Engineering #science #physics #Technology #kicad #simulation #manufacturing
1:30

Very excited to share the release of my addon Blender FastHenry! Use Blender's powerful modelling capability combined with geometry nodes to run FastHenry simulations! Blender is becoming a multi-purpose tool not just a tool for 3D graphics and animation, but also for engineering and scientific work too. This video shows how you can calculate the impedance of wire bonds and leads of a Mosfet in a TO-220 package, you can see what effect bending the leads and adding a heatsink have on the impedance! hackaday Dave Jones Sybren A. Stüvel 🔶 🐈‍⬛ ([email protected]) #b3d #blender3d #electronics #geometrynodes #3dart #pcbdesign #transistors #Engineering #science #physics #Technology #kicad #simulation #manufacturing

Sam M

45,882 просмотров • 1 год назад

Water simulation has always been the holy grail of FX, requiring an incredible amount of computation to get right. For Battleship (2012), ILM had to reinvent their water systems to allow them to be able to deliver the show with it's plethora of shots in water. The alien ships are hundreds of feet long and therefore displace massive amounts of water. This, coupled with them making aggressive movements meant that hundreds of millions of droplets of water had to be simulated per shot to get a believable look of water interaction. Before their new water systems, artists were only able to get "1-2 simulations done per day", but with the new system they were able to "do many simulations per day", increasing the iterations and therefore the creative freedom and expression for the artists. ILM has since reworked their water systems multiple times, now being more powerful and accurate than ever, utilizing more powerful hardware and more accurate and efficient simulation algorithms. Today, water simulation is something that can be done a lot easier than before, even being able to do it in real-time with tools such as Unreal Engine and LiquiGen. Houdini is currently the most powerful tool for simulating water or any FX at very high fidelities. Check out some FX flipbooks from ILMs VFX breakdown showing their water work below:
0:46

Water simulation has always been the holy grail of FX, requiring an incredible amount of computation to get right. For Battleship (2012), ILM had to reinvent their water systems to allow them to be able to deliver the show with it's plethora of shots in water. The alien ships are hundreds of feet long and therefore displace massive amounts of water. This, coupled with them making aggressive movements meant that hundreds of millions of droplets of water had to be simulated per shot to get a believable look of water interaction. Before their new water systems, artists were only able to get "1-2 simulations done per day", but with the new system they were able to "do many simulations per day", increasing the iterations and therefore the creative freedom and expression for the artists. ILM has since reworked their water systems multiple times, now being more powerful and accurate than ever, utilizing more powerful hardware and more accurate and efficient simulation algorithms. Today, water simulation is something that can be done a lot easier than before, even being able to do it in real-time with tools such as Unreal Engine and LiquiGen. Houdini is currently the most powerful tool for simulating water or any FX at very high fidelities. Check out some FX flipbooks from ILMs VFX breakdown showing their water work below:

Rassoul Edji

86,772 просмотров • 1 год назад

It has finally happened - my first video guide on how to create electromagnetic openEMS simulations with Blender 🔶 is now available! This video guide will show you to first create geometries and specify ports in #blender3d , export them to openEMS, write a few python scripts, and then using geometry nodes to visualise and animate the results back in Blender. The video is based on the Rotman lens animation I did previously as the workflow for it covers a wide range of topics. I hope you find this video informative. Everything is done using open-source tools including #inkscape, #paraview and Octave! #b3d #electronics #hardware #science #educational #physics #engineering #geometrynodes hackaday #openEMS #electromagnetics #tutorial #mathematics #antenna #rf #kicad #altium
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It has finally happened - my first video guide on how to create electromagnetic openEMS simulations with Blender 🔶 is now available! This video guide will show you to first create geometries and specify ports in #blender3d , export them to openEMS, write a few python scripts, and then using geometry nodes to visualise and animate the results back in Blender. The video is based on the Rotman lens animation I did previously as the workflow for it covers a wide range of topics. I hope you find this video informative. Everything is done using open-source tools including #inkscape, #paraview and Octave! #b3d #electronics #hardware #science #educational #physics #engineering #geometrynodes hackaday #openEMS #electromagnetics #tutorial #mathematics #antenna #rf #kicad #altium

Sam M

24,221 просмотров • 2 лет назад

Introducing Petri Dish Neural Cellular Automata (PD-NCA) 🦠 The search for open-ended complexification, a north star of Artificial Life (ALife) simulations, is a question that fascinates us deeply. In this work we explore the role of continual adaptation in ALife simulation, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself. Our Petri Dish Neural Cellular Automata (PD-NCA) is a new ALife substrate that consists of a differentiable world where multiple NCA learn to self-replicate and grow via ongoing gradient descent. Every individual is constantly trying to grow, all the while learning to adapt and out-compete its neighbors. PD-NCA allows for complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation. The video below shows the sheer variety and complexity that unfolds during several different simulations (each colour is a different NCA).
2:18

Introducing Petri Dish Neural Cellular Automata (PD-NCA) 🦠 The search for open-ended complexification, a north star of Artificial Life (ALife) simulations, is a question that fascinates us deeply. In this work we explore the role of continual adaptation in ALife simulation, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself. Our Petri Dish Neural Cellular Automata (PD-NCA) is a new ALife substrate that consists of a differentiable world where multiple NCA learn to self-replicate and grow via ongoing gradient descent. Every individual is constantly trying to grow, all the while learning to adapt and out-compete its neighbors. PD-NCA allows for complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation. The video below shows the sheer variety and complexity that unfolds during several different simulations (each colour is a different NCA).

Sakana AI

105,466 просмотров • 9 месяцев назад

🚨 BOOM! PRESIDENT TRUMP: "Yesterday, 19 million barrels of oil flowed out of the Strait of Hormuz, a very beautiful place. That's the most oil in the HISTORY of the Strait!" "It's called an oil gusher, and most importantly, we are ensuring one thing very importantly, because this is why I did it, I did it for this reason, 99% for this, Iran will never have a nuclear weapon, and they've agreed to that." 🔥
0:33

🚨 BOOM! PRESIDENT TRUMP: "Yesterday, 19 million barrels of oil flowed out of the Strait of Hormuz, a very beautiful place. That's the most oil in the HISTORY of the Strait!" "It's called an oil gusher, and most importantly, we are ensuring one thing very importantly, because this is why I did it, I did it for this reason, 99% for this, Iran will never have a nuclear weapon, and they've agreed to that." 🔥

Eric Daugherty

36,294 просмотров • 1 месяц назад

HUH 🤔 Beth Sanner on CNN says the U.S seizing Venezuelan oil tankers is normal. Jake Tapper: "There has been this pressure campaign from President Trump for [Maduro] to step down, seizing an oil tanker. That's a much bigger deal than these narco terrorist boats. How could this escalate the conflict with Venezuela? Sanner: "To me, this is absolutely normal.We've been seizing Iranian oil tankers in the past. We also, according to the law that I've read, that oil is up for forfeiture. So we could keep that. We've kept Iranian oil in the past. So I actually think that this is, less controversial in terms of law and sanctions and what has been disputed or not disputed, like I think this is actually a pretty check the box case.What will this mean in terms of escalation? You know, what is he going to do? What is maduro going to do? Is he going to step aside because we're sanctioning this oil? I mean, you know, we pick up this oil tanker, it's one oil tanker. Probably not." No upheaval from Beth Sanner about it, is that a good sign?
1:48

HUH 🤔 Beth Sanner on CNN says the U.S seizing Venezuelan oil tankers is normal. Jake Tapper: "There has been this pressure campaign from President Trump for [Maduro] to step down, seizing an oil tanker. That's a much bigger deal than these narco terrorist boats. How could this escalate the conflict with Venezuela? Sanner: "To me, this is absolutely normal.We've been seizing Iranian oil tankers in the past. We also, according to the law that I've read, that oil is up for forfeiture. So we could keep that. We've kept Iranian oil in the past. So I actually think that this is, less controversial in terms of law and sanctions and what has been disputed or not disputed, like I think this is actually a pretty check the box case.What will this mean in terms of escalation? You know, what is he going to do? What is maduro going to do? Is he going to step aside because we're sanctioning this oil? I mean, you know, we pick up this oil tanker, it's one oil tanker. Probably not." No upheaval from Beth Sanner about it, is that a good sign?

DeVory Darkins

21,498 просмотров • 8 месяцев назад

Musk says the simulation hypothesis is almost certainly TRUE since 2016. And this is also why he renamed Twitter to X. This is hella interesting, watch this clip and lemme explain... Elon founded xAI on the mission of understanding the universe. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." Watch the video to hear Elon explains it: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast
2:18

Musk says the simulation hypothesis is almost certainly TRUE since 2016. And this is also why he renamed Twitter to X. This is hella interesting, watch this clip and lemme explain... Elon founded xAI on the mission of understanding the universe. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." Watch the video to hear Elon explains it: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

GeniusThinking

34,019 просмотров • 3 месяцев назад

For years, families in Lube Boni and other underserved communities have lived with the struggles of water poverty, long walks, unsafe sources, and daily hardship. Today, that story has changed. Thanks to Fairaction’s Smart Water Project, children now drink clean water and families finally have peace of mind. 💧✨ To keep our projects self-sustaining, communities contribute a small token fee for water use. But some households cannot afford even this, leaving them at risk of returning to unsafe water. That’s why we created Water Credit, a simple way for you to support vulnerable families and ensure no one is left behind. 💙 Be the reason a child wakes up to safe water. 💙 Keep hope alive for families who cannot pay the token fee. Together, we can make clean water accessible for all. 📩 partnership.ngFair Trade In Action.ngo 📞 08067041097 Follow us Fair Trade In Action.ng to see how your support is changing lives and to join the movement for #CleanWaterForAll
1:18

For years, families in Lube Boni and other underserved communities have lived with the struggles of water poverty, long walks, unsafe sources, and daily hardship. Today, that story has changed. Thanks to Fairaction’s Smart Water Project, children now drink clean water and families finally have peace of mind. 💧✨ To keep our projects self-sustaining, communities contribute a small token fee for water use. But some households cannot afford even this, leaving them at risk of returning to unsafe water. That’s why we created Water Credit, a simple way for you to support vulnerable families and ensure no one is left behind. 💙 Be the reason a child wakes up to safe water. 💙 Keep hope alive for families who cannot pay the token fee. Together, we can make clean water accessible for all. 📩 partnership.ngFair Trade In Action.ngo 📞 08067041097 Follow us Fair Trade In Action.ng to see how your support is changing lives and to join the movement for #CleanWaterForAll

Instablog9ja

32,367 просмотров • 10 месяцев назад

NASA Administrator Jared Isaacman: SpaceX helped lead America’s shift to methane rocket fuel. "SpaceX was one of the first to move on from their current propellant structure, which is basically refined diesel and liquid oxygen, to liquid methane or liquid natural gas and liquid oxygen. But we know so very little about it and what we get concerned about very early on is what happens if something goes wrong during testing? And we assumed a lot of worst case scenarios. But other companies, so Blue Origin, for example, decided, this is the right path we should go on to. Now the problem is you have all these companies working on this new propellant system, and we had to take very conservative views, which would have actually shut down testing and launch operations at multiple centers across the United States. And this employee, Berkowitz, he came up with the analysis that determined, actually, it's a lot safer than we may think it is, and it's permitted us to conduct lots of simultaneous operations. It was a real enabling breakthrough work he did, and that's why he was honored."
0:55

NASA Administrator Jared Isaacman: SpaceX helped lead America’s shift to methane rocket fuel. "SpaceX was one of the first to move on from their current propellant structure, which is basically refined diesel and liquid oxygen, to liquid methane or liquid natural gas and liquid oxygen. But we know so very little about it and what we get concerned about very early on is what happens if something goes wrong during testing? And we assumed a lot of worst case scenarios. But other companies, so Blue Origin, for example, decided, this is the right path we should go on to. Now the problem is you have all these companies working on this new propellant system, and we had to take very conservative views, which would have actually shut down testing and launch operations at multiple centers across the United States. And this employee, Berkowitz, he came up with the analysis that determined, actually, it's a lot safer than we may think it is, and it's permitted us to conduct lots of simultaneous operations. It was a real enabling breakthrough work he did, and that's why he was honored."

DogeDesigner

494,258 просмотров • 18 дней назад

Musk says the simulation hypothesis is almost certainly true since 2016. And this is also why he renamed Twitter to X... Elon founded xAI on the mission of understanding the universe. He renamed Twitter to X in 2023, picking the only letter without an opposite. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast
2:18

Musk says the simulation hypothesis is almost certainly true since 2016. And this is also why he renamed Twitter to X... Elon founded xAI on the mission of understanding the universe. He renamed Twitter to X in 2023, picking the only letter without an opposite. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

GeniusThinking

20,844 просмотров • 2 месяцев назад

NASA Physicist Thomas Campbell explains the proof that we live in a Simulation 100% - “We Live in a Simulation – And I Can Prove It With Physics” “In a virtual reality, the highest speed you can go contiguously — not teleporting, but actually moving — is one pixel of distance for one pixel of time. That’s the Planck length over Planck time. That’s why nothing can go faster than light. Entanglement isn’t two separate particles magically talking to each other. It’s one system. Think of a two-by-four a million miles long. When you flip one end, the other end flips at the same instant because it’s the same thing. This reality only renders what’s being observed. That’s why the double-slit experiment works the way it does — until something interacts with it, it stays as probability.”
6:20

NASA Physicist Thomas Campbell explains the proof that we live in a Simulation 100% - “We Live in a Simulation – And I Can Prove It With Physics” “In a virtual reality, the highest speed you can go contiguously — not teleporting, but actually moving — is one pixel of distance for one pixel of time. That’s the Planck length over Planck time. That’s why nothing can go faster than light. Entanglement isn’t two separate particles magically talking to each other. It’s one system. Think of a two-by-four a million miles long. When you flip one end, the other end flips at the same instant because it’s the same thing. This reality only renders what’s being observed. That’s why the double-slit experiment works the way it does — until something interacts with it, it stays as probability.”

Defiant Ghost

365,046 просмотров • 1 месяц назад

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS
3:26

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS

D-Wave

65,039 просмотров • 1 год назад

Robotics has a massive, silent bottleneck. It isn’t just data collection—it’s the brutal 1x speed of the physical world. Genesis AI Genesis AI just unveiled Genesis World 1.0, and they are attempting to turn the notorious Sim2Real gap into a pure compute problem. Evaluating a robotics foundation model across edge cases usually means hundreds of hours of physical lab testing. With Genesis World 1.0, what traditionally takes nearly a week of continuous, real-world operation is being compressed into 30 minutes in simulation. What makes this different from just dropping a robot model into an off-the-shelf game engine? 1️⃣ Nyx Renderer: A custom, real-time path-traced engine rendering noise-free 1080p frames in under 4ms. Game engines use rasterization tricks that confuse AI; Nyx uses physically accurate multi-bounce lighting so the model's "eyes" see exactly what real sensors see. 2️⃣ Quadrants Compiler: A custom Python-to-GPU compiler to run heavily parallelized multi-physics simulations (rigid bodies, fluids, deformables) natively across architectures. 3️⃣ Evaluation First: They aren't rushing to train on synthetic data. They are using this purely for closed-loop evaluation to perfect the physics first, currently claiming an impressive 89% correlation with real-world hardware tests. If the industry can accurately evaluate models in simulation without the physical world bottleneck, humanoid development stops moving at wall-clock time and starts scaling with compute.
1:36

Robotics has a massive, silent bottleneck. It isn’t just data collection—it’s the brutal 1x speed of the physical world. Genesis AI Genesis AI just unveiled Genesis World 1.0, and they are attempting to turn the notorious Sim2Real gap into a pure compute problem. Evaluating a robotics foundation model across edge cases usually means hundreds of hours of physical lab testing. With Genesis World 1.0, what traditionally takes nearly a week of continuous, real-world operation is being compressed into 30 minutes in simulation. What makes this different from just dropping a robot model into an off-the-shelf game engine? 1️⃣ Nyx Renderer: A custom, real-time path-traced engine rendering noise-free 1080p frames in under 4ms. Game engines use rasterization tricks that confuse AI; Nyx uses physically accurate multi-bounce lighting so the model's "eyes" see exactly what real sensors see. 2️⃣ Quadrants Compiler: A custom Python-to-GPU compiler to run heavily parallelized multi-physics simulations (rigid bodies, fluids, deformables) natively across architectures. 3️⃣ Evaluation First: They aren't rushing to train on synthetic data. They are using this purely for closed-loop evaluation to perfect the physics first, currently claiming an impressive 89% correlation with real-world hardware tests. If the industry can accurately evaluate models in simulation without the physical world bottleneck, humanoid development stops moving at wall-clock time and starts scaling with compute.

Humanoids daily

17,240 просмотров • 2 месяцев назад

Bessent just connected every dot,like I wrote i my latest article. China bought 90% of Iran's oil exports. That's almost 10% of China's total imports. Now the blockade cuts it off. And the US is warning Chinese banks: process Iranian payments = secondary sanctions. This isn't just an energy blockade. It's a financial one too. 🇮🇷 Iran loses its only real customer 🇨🇳 China loses its cheapest oil source 🏦 Chinese banks face secondary sanctions risk 💸 Iran's $400M/day bleeding accelerates 🛢️ Chinese imports already spiking +20% y/y Bessent called China "unreliable" for hoarding oil during the war instead of sharing with allies. Trump said "Xi needs oil. We don't." Now the Treasury is closing the financial escape hatch too. Water blockade + Financial blockade... Simultaneously. The summit just got a lot more complicated. Full breakdown in my latest article 👇
0:42

Bessent just connected every dot,like I wrote i my latest article. China bought 90% of Iran's oil exports. That's almost 10% of China's total imports. Now the blockade cuts it off. And the US is warning Chinese banks: process Iranian payments = secondary sanctions. This isn't just an energy blockade. It's a financial one too. 🇮🇷 Iran loses its only real customer 🇨🇳 China loses its cheapest oil source 🏦 Chinese banks face secondary sanctions risk 💸 Iran's $400M/day bleeding accelerates 🛢️ Chinese imports already spiking +20% y/y Bessent called China "unreliable" for hoarding oil during the war instead of sharing with allies. Trump said "Xi needs oil. We don't." Now the Treasury is closing the financial escape hatch too. Water blockade + Financial blockade... Simultaneously. The summit just got a lot more complicated. Full breakdown in my latest article 👇

Jack Prandelli

528,784 просмотров • 4 месяцев назад

Elon Musk, 13 years ago: A fully and rapidly reusable rocket is barely possible. SpaceX is going to try to do it. We could fail, but we're going to try to do it. “The pivotal breakthrough that's necessary, that some company has to come up with to make life multiplanetary, is a fully and rapidly reusable orbit-class rocket. This is a very difficult thing to do because we live on a planet where that is just barely possible. If gravity were a little lower, it would be easy. If it was a little higher, it would be impossible. It's just a very tough engineering problem. I wasn't sure it could be solved for a while. But then, relatively recently, probably in the last twelve months or so, I've come to the conclusion that it can be solved. And I think, SpaceX is going to try to do it. Now, we could fail. I'm not saying we're certain of success here, but we're going to try to do it. And we have a design that, on paper, doing the calculations, doing the simulations, it does work. And now, we need to make sure that those simulations and reality agree, because generally when they don't, reality wins.” National Press Club, 2011
1:06

Elon Musk, 13 years ago: A fully and rapidly reusable rocket is barely possible. SpaceX is going to try to do it. We could fail, but we're going to try to do it. “The pivotal breakthrough that's necessary, that some company has to come up with to make life multiplanetary, is a fully and rapidly reusable orbit-class rocket. This is a very difficult thing to do because we live on a planet where that is just barely possible. If gravity were a little lower, it would be easy. If it was a little higher, it would be impossible. It's just a very tough engineering problem. I wasn't sure it could be solved for a while. But then, relatively recently, probably in the last twelve months or so, I've come to the conclusion that it can be solved. And I think, SpaceX is going to try to do it. Now, we could fail. I'm not saying we're certain of success here, but we're going to try to do it. And we have a design that, on paper, doing the calculations, doing the simulations, it does work. And now, we need to make sure that those simulations and reality agree, because generally when they don't, reality wins.” National Press Club, 2011

ELON CLIPS

43,664,594 просмотров • 1 год назад