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🚨🇷🇺🇨🇳 Russia and China develop breakthrough AI-powered earthquake forecasting method The new AI model predicts earthquakes by tracking changes in the Earth’s crust with superior accuracy—at a fraction of traditional computing costs. 🔸 Geoacoustic emissions are used — sounds produced as tectonic stress builds up underground — to pinpoint...

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Proud to announce the in-depth collaboration between Kingnet and Alibaba Cloud in AI Gaming. Alibaba Cloud provides world-leading cloud computing, big data, and AI services, with disclosed revenue exceeding $15 billion in 2024, which is one of the most renowned global server providers. When two superpowers collide, the game changes. 🌊AI Gaming R&D By integrating Qwen 's LLM and Alibaba Cloud 's PAI platform (including PAI-iTAG, PAI-Designer, PAI-DSW, PAI-DLC, and PAI-EAS), Kingnet has emerged as one of the gaming industry's pioneers in AIGC-powered content generation and AI rendering. Together, we are accelerating the realization of no-code game development. 🌊GPU Computing Resources Alibaba Cloud delivers GPU-accelerated elastic computing services with exceptional processing power, supporting diverse workloads including deep learning, scientific computing, graphics visualization, and video processing - providing robust GPU computing capabilities for KingnetAI's demanding requirements. 🌊Cloud Service Optimization Cloud server deployment has become the mainstream choice for small and mid-sized game studios in global operations. Leveraging Alibaba Cloud server advantages, we will develop and deploy more cloud-native games to meet user demands. The disruptive innovation we're bringing to the industry: 🔸Minute-scale game asset production replaces traditional week/month-long cycles 🔸Single-digit dollar development costs VS traditional four-figure entry thresholds 🔸AI-powered NPCs with behavioral engines deliver dynamic player interactions, breaking static story constraints, etc. 🔜Kingnet AI V2 is approaching launch. The Agent system and game generation engine will be officially deployed across 3 chains: 🔹Leveraging Solana high throughput and low gas fee , Solana has consistently been a developer favorite, latest product will be deployed on Solana - with users paying $SOL for on-demand asset creation fees. 🔹Another key partner is BNB Chain ,We are actively participating in both the #BNBAIHack and the latest MVB 10. Powered by BNB Chain long-standing support for AI innovation. Kingnet V2 and NFT drop will be deployed on BNB Chain, providing developers and the community with comprehensive game-generation tools and support. 🔹As an early strategic partner of Kingnet, TON 💎 @TONEastAsia was one of the earliest chain to connect Web2 and Web3, Kingnet V2 will be deployed on TON, providing TON game developers with low-cost, high-efficiency asset generation, and supporting users to use $TON as an asset generation cost. The Future of AI Gaming is coming.
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Proud to announce the in-depth collaboration between Kingnet and Alibaba Cloud in AI Gaming. Alibaba Cloud provides world-leading cloud computing, big data, and AI services, with disclosed revenue exceeding $15 billion in 2024, which is one of the most renowned global server providers. When two superpowers collide, the game changes. 🌊AI Gaming R&D By integrating Qwen 's LLM and Alibaba Cloud 's PAI platform (including PAI-iTAG, PAI-Designer, PAI-DSW, PAI-DLC, and PAI-EAS), Kingnet has emerged as one of the gaming industry's pioneers in AIGC-powered content generation and AI rendering. Together, we are accelerating the realization of no-code game development. 🌊GPU Computing Resources Alibaba Cloud delivers GPU-accelerated elastic computing services with exceptional processing power, supporting diverse workloads including deep learning, scientific computing, graphics visualization, and video processing - providing robust GPU computing capabilities for KingnetAI's demanding requirements. 🌊Cloud Service Optimization Cloud server deployment has become the mainstream choice for small and mid-sized game studios in global operations. Leveraging Alibaba Cloud server advantages, we will develop and deploy more cloud-native games to meet user demands. The disruptive innovation we're bringing to the industry: 🔸Minute-scale game asset production replaces traditional week/month-long cycles 🔸Single-digit dollar development costs VS traditional four-figure entry thresholds 🔸AI-powered NPCs with behavioral engines deliver dynamic player interactions, breaking static story constraints, etc. 🔜Kingnet AI V2 is approaching launch. The Agent system and game generation engine will be officially deployed across 3 chains: 🔹Leveraging Solana high throughput and low gas fee , Solana has consistently been a developer favorite, latest product will be deployed on Solana - with users paying $SOL for on-demand asset creation fees. 🔹Another key partner is BNB Chain ,We are actively participating in both the #BNBAIHack and the latest MVB 10. Powered by BNB Chain long-standing support for AI innovation. Kingnet V2 and NFT drop will be deployed on BNB Chain, providing developers and the community with comprehensive game-generation tools and support. 🔹As an early strategic partner of Kingnet, TON 💎 @TONEastAsia was one of the earliest chain to connect Web2 and Web3, Kingnet V2 will be deployed on TON, providing TON game developers with low-cost, high-efficiency asset generation, and supporting users to use $TON as an asset generation cost. The Future of AI Gaming is coming.

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🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.
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PSA: $NAM Airdrop 🪂 - only a few hours left ➡️Claim closes on: 12th of Jan 2024, at 9am ➡️ The _ONLY_ place to claim ➡️Allocations have been adjusted recently - check if you have claimed to see if your number went up! ➡️US is sadly geoblocked 🔸Eligibility and How to Claim reminder ➡️ $OSMO snapshot: mainnet block 12146298 ➡️ $ATOM snapshots: block 17660694 (the last blocks before 1st of November 2023). To be eligible you need to have at least $100 USD staked ➡️In $OSMO: 280 $OSMO ➡️In $ATOM: 12.786667 $ATOM Beyond staking every account gets an Activity Score. The TLDR; of this scoring method is that it measures the engagement of the account on a decentralized network. The specific framework used in the RPGF Drop is an adaptation from Trusta AI ' Media Score, and was first introduced by Celestia on the Genesis Drop. Based on the mechanism, the score can be a minimum of 1.5 and a maximum of 15. The Activity Score is a points system that takes into account activity such as transactions, ibc transfers, the value of transactions, months active, etc. (the scoring details are linked in the announcement). The maximum points you can get on the Activity Score is 15. To determine the tier, the amount staked at the time is multiplied by the Activity Score. Then all eligible accounts are ranked by highest value to lowest and grouped into tiers: top 10%, 50-90%, and 0-50% ➡️Source: MEDIA SCORE as the Infrastructure for On-chain User Value Assessment: 🔸How to claim $NAM airdrop ➡️Get Namada Wallet Extension ➡️Go to ➡️Connect Wallet $ATOM $OSMO $STARS ➡️Connect $NAM Extension ➡️CLAIM $NAM ➡️Repeat for any additional chains / wallets 🔸Looking for an easy and super clear "how to claim video"? @L1am_Crypto & Stakecito Labs to the rescue 🫡 🔸$NAM airdrop beraindex overview: 🔸Stake $ATOM with our sponsor, Enigma , and don't miss out on future Airdrops 🥩 $ATOM 🫡

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InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL
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InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink Labs 👤 + 🌐

51,489 Aufrufe • vor 8 Monaten

🚨 SCIENTISTS JUST FOUND AN ANCIENT OCEAN FLOOR WRAPPED AROUND EARTH’S CORE. Using seismic waves recorded by stations buried in Antarctic ice, researchers have created the highest-resolution map yet of the boundary between Earth’s mantle and outer core nearly 3,000 km beneath our feet. They discovered thin but widespread patches of dense material that dramatically slow down seismic waves. The most likely explanation: these are fragments of ancient oceanic crust that sank into the deep mantle long ago and have been moved around by convection currents for hundreds of millions of years. In some places, these structures rise up to five times higher than Mount Everest. Why this matters: • It reveals that Earth’s deep interior is far more complex and dynamic than we thought • These patches likely influence how heat flows from the core into the mantle, which affects mantle convection and volcanic activity • They may also play a role in the behavior of Earth’s magnetic field, which is generated in the outer core • Understanding this boundary helps us better model how our planet has evolved over billions of years The deeper implication: We usually think of the deep Earth as relatively simple layers. This research shows that the core-mantle boundary is more like a rugged, geologically active landscape with ancient “mountains” made of recycled ocean floor. It’s a powerful reminder that Earth is a single, interconnected system what happens at the surface (like plate tectonics) can eventually end up reshaping the deepest parts of our planet, and vice versa. We’re still only beginning to map the true complexity hidden beneath our feet. How do you think discovering ancient ocean crust at the core-mantle boundary changes the way we should think about Earth’s internal dynamics? Follow for more frontier Earth science and discoveries about our planet’s hidden interior.
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🚨 SCIENTISTS JUST FOUND AN ANCIENT OCEAN FLOOR WRAPPED AROUND EARTH’S CORE. Using seismic waves recorded by stations buried in Antarctic ice, researchers have created the highest-resolution map yet of the boundary between Earth’s mantle and outer core nearly 3,000 km beneath our feet. They discovered thin but widespread patches of dense material that dramatically slow down seismic waves. The most likely explanation: these are fragments of ancient oceanic crust that sank into the deep mantle long ago and have been moved around by convection currents for hundreds of millions of years. In some places, these structures rise up to five times higher than Mount Everest. Why this matters: • It reveals that Earth’s deep interior is far more complex and dynamic than we thought • These patches likely influence how heat flows from the core into the mantle, which affects mantle convection and volcanic activity • They may also play a role in the behavior of Earth’s magnetic field, which is generated in the outer core • Understanding this boundary helps us better model how our planet has evolved over billions of years The deeper implication: We usually think of the deep Earth as relatively simple layers. This research shows that the core-mantle boundary is more like a rugged, geologically active landscape with ancient “mountains” made of recycled ocean floor. It’s a powerful reminder that Earth is a single, interconnected system what happens at the surface (like plate tectonics) can eventually end up reshaping the deepest parts of our planet, and vice versa. We’re still only beginning to map the true complexity hidden beneath our feet. How do you think discovering ancient ocean crust at the core-mantle boundary changes the way we should think about Earth’s internal dynamics? Follow for more frontier Earth science and discoveries about our planet’s hidden interior.

TheNewPhysics

37,534 Aufrufe • vor 27 Tagen

🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.
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🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.

TheNewPhysics

2,071,461 Aufrufe • vor 1 Monat

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~~~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~~~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :
0:15

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~~~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~~~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

björk

51,637 Aufrufe • vor 1 Jahr

🚨 CHINESE SCIENTISTS JUST INVENTED 3D PRINTING THAT CREATES OBJECTS IN 0.6 SECONDS USING ONLY LIGHT. Researchers at Tsinghua University have developed a new method called DISH (Digital Incoherent Synthesis of Holographic light fields) that can print complex millimeter-scale objects almost instantly. Instead of slowly building layer by layer, the system fires thousands of precisely patterned light images from multiple angles into a still vat of liquid resin. Where the light overlaps, the resin instantly hardens into a solid 3D object. The entire process takes just 0.6 seconds. Why this matters: • It’s currently the fastest volumetric 3D printing method ever demonstrated • Achieves extremely fine detail features thinner than a human hair • The resin stays completely still, so there’s no vibration or distortion • It can work with watery (low-viscosity) resins, making it suitable for biological applications • The team has already printed complex structures like blood vessel-like tubes and even a tiny bust of a historical figure The deeper implication: Traditional 3D printing has always been limited by speed and the need to move either the print head or the resin. This approach removes both constraints by using light itself as the sculptor. Because it can print directly into still liquid (and potentially onto living tissue), it opens new possibilities in bioprinting, medical devices, and rapid manufacturing. If the technology can be scaled beyond millimeter sizes, it could fundamentally change how we think about making physical objects turning “print” from a slow process into something closer to instantaneous fabrication. We’re moving from “layer by layer” to “all at once.” How do you think instant volumetric 3D printing like this could change medicine, manufacturing, or everyday life if it becomes widely available? Follow for more frontier manufacturing and materials science breakthroughs.
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🚨 CHINESE SCIENTISTS JUST INVENTED 3D PRINTING THAT CREATES OBJECTS IN 0.6 SECONDS USING ONLY LIGHT. Researchers at Tsinghua University have developed a new method called DISH (Digital Incoherent Synthesis of Holographic light fields) that can print complex millimeter-scale objects almost instantly. Instead of slowly building layer by layer, the system fires thousands of precisely patterned light images from multiple angles into a still vat of liquid resin. Where the light overlaps, the resin instantly hardens into a solid 3D object. The entire process takes just 0.6 seconds. Why this matters: • It’s currently the fastest volumetric 3D printing method ever demonstrated • Achieves extremely fine detail features thinner than a human hair • The resin stays completely still, so there’s no vibration or distortion • It can work with watery (low-viscosity) resins, making it suitable for biological applications • The team has already printed complex structures like blood vessel-like tubes and even a tiny bust of a historical figure The deeper implication: Traditional 3D printing has always been limited by speed and the need to move either the print head or the resin. This approach removes both constraints by using light itself as the sculptor. Because it can print directly into still liquid (and potentially onto living tissue), it opens new possibilities in bioprinting, medical devices, and rapid manufacturing. If the technology can be scaled beyond millimeter sizes, it could fundamentally change how we think about making physical objects turning “print” from a slow process into something closer to instantaneous fabrication. We’re moving from “layer by layer” to “all at once.” How do you think instant volumetric 3D printing like this could change medicine, manufacturing, or everyday life if it becomes widely available? Follow for more frontier manufacturing and materials science breakthroughs.

TheNewPhysics

347,458 Aufrufe • vor 22 Tagen

$KNDX 🤖 Theres 3 big narratives that are sending coins left right and centre rn. 🚀 #AI, #Gamefi, & #NFTs 🔹Theres 50% mindshare for #AI. 🤖 🔹#GameFi mcap is hitting ATH's with #OfftheGrid, $XBG and $SUPER making spectacular moves. 🎮 🔹NFTs and the #Metaverse are making a strong comeback with $APE up 100% over the weekend. 🐵 What if there's a project that touches all these trending narratives with groundbreaking technology to disrupt all 3 of them? 🔥 💡- That's where $KNDX comes in. -💡 Kondux is a cutting-edge Web3 SaaS platform, combining NVIDIA’s Omniverse, AI, Blockchain, and dynamic NFTs to revolutionize secure asset management across industries. 👏 Their flagship product, kNFTs, are 3D digital assets usable across Metaverse and Gaming platforms, AR/VR/XR environments, and manufacturing applications. Kondux’s scalable model opens new revenue streams by enabling effective digital asset monetization. 💰 Kondux is the first Web3 project to integrate VFX pipelines with NVIDIA’s Omniverse and bringing it onto the Blockchain. ⛓️ It is also the only Web3 project with a *Select Status Partnership* with NVIDIA, operating under NVIDIA NDAs and working with them directly for more than 2 years. About their NVIDIA Integrations: 🤖 🔹There are three areas of the Kondux tech stack that coincide with three divisions of NVIDIA: 📡GDN (Graphics Delivery Network, the backbone of GeForce Now) 💡Omniverse for 3D aspects such as, geospatial data, real world physics, lighting, and raytracing 🤖NVIDIA AI Foundation, which covers many aspects of #AI, including inference and deployment scaling. The convergence of all these components lie within .USD file format . 🔹 They are the first blockchain project to integrate NVIDIA’s Omniverse Cloud and Graphics Delivery Network (GDN) to provide high-quality 3D content accessible on any device without requiring high-end hardware. 🔹 This setup streamlines content management, democratises access to resource-intensive 3D content, and enables real-time interaction with 3D NFTs. Now, I haven’t seen any crypto project so deeply connected with NVIDIA and NVIDIA technology. GDN is a HUGE competitive advantage. With it, the need for #GPU’s basically goes out the window. 🤯 Now lets take a look at some of the other main features... 👀 OpenUSD (Universal Scene Description): 📽️ 🔹 Kondux is leveraging USD technology, developed by Pixar and used by Meta, Apple, Microsoft and other industry leaders to enhance 3D graphics and interoperability within its creative ecosystem. 🔹 Originally created for high-end film production, USD now supports a variety of applications, including gaming and virtual reality, making it a key asset for Kondux. kNFT's: 🎨 🔹 Kondux is pioneering a new category of NFTs known as kNFTs, which aim to redefine NFT utility through innovative features. 🔹 A standout feature is the upgradeable aspect provided by Kondux DNA, allowing kNFTs to transform and combine with other NFTs, creating limitless possibilities in art, gaming, and music. 🔹Through the Kondux AI portal it will be possible to communicate with kNFTs. They can learn and adapt. This AI technology is revolutionary because it makes human to kNFT interaction possible, turning it into a unique, personalized experience. Check out the clip of kNFTs in Unreal Engine 5 gameplay below. 👇 Kondux is a very obvious utility play with huge upside because it’s multi narrative. 📈 It's seriously groundbreaking stuff that they’re about to launch. 🚀 After speaking with the team there’s no doubt in my mind this will do crazy big numbers in the next months. 🤑
0:17

$KNDX 🤖 Theres 3 big narratives that are sending coins left right and centre rn. 🚀 #AI, #Gamefi, & #NFTs 🔹Theres 50% mindshare for #AI. 🤖 🔹#GameFi mcap is hitting ATH's with #OfftheGrid, $XBG and $SUPER making spectacular moves. 🎮 🔹NFTs and the #Metaverse are making a strong comeback with $APE up 100% over the weekend. 🐵 What if there's a project that touches all these trending narratives with groundbreaking technology to disrupt all 3 of them? 🔥 💡- That's where $KNDX comes in. -💡 Kondux is a cutting-edge Web3 SaaS platform, combining NVIDIA’s Omniverse, AI, Blockchain, and dynamic NFTs to revolutionize secure asset management across industries. 👏 Their flagship product, kNFTs, are 3D digital assets usable across Metaverse and Gaming platforms, AR/VR/XR environments, and manufacturing applications. Kondux’s scalable model opens new revenue streams by enabling effective digital asset monetization. 💰 Kondux is the first Web3 project to integrate VFX pipelines with NVIDIA’s Omniverse and bringing it onto the Blockchain. ⛓️ It is also the only Web3 project with a *Select Status Partnership* with NVIDIA, operating under NVIDIA NDAs and working with them directly for more than 2 years. About their NVIDIA Integrations: 🤖 🔹There are three areas of the Kondux tech stack that coincide with three divisions of NVIDIA: 📡GDN (Graphics Delivery Network, the backbone of GeForce Now) 💡Omniverse for 3D aspects such as, geospatial data, real world physics, lighting, and raytracing 🤖NVIDIA AI Foundation, which covers many aspects of #AI, including inference and deployment scaling. The convergence of all these components lie within .USD file format . 🔹 They are the first blockchain project to integrate NVIDIA’s Omniverse Cloud and Graphics Delivery Network (GDN) to provide high-quality 3D content accessible on any device without requiring high-end hardware. 🔹 This setup streamlines content management, democratises access to resource-intensive 3D content, and enables real-time interaction with 3D NFTs. Now, I haven’t seen any crypto project so deeply connected with NVIDIA and NVIDIA technology. GDN is a HUGE competitive advantage. With it, the need for #GPU’s basically goes out the window. 🤯 Now lets take a look at some of the other main features... 👀 OpenUSD (Universal Scene Description): 📽️ 🔹 Kondux is leveraging USD technology, developed by Pixar and used by Meta, Apple, Microsoft and other industry leaders to enhance 3D graphics and interoperability within its creative ecosystem. 🔹 Originally created for high-end film production, USD now supports a variety of applications, including gaming and virtual reality, making it a key asset for Kondux. kNFT's: 🎨 🔹 Kondux is pioneering a new category of NFTs known as kNFTs, which aim to redefine NFT utility through innovative features. 🔹 A standout feature is the upgradeable aspect provided by Kondux DNA, allowing kNFTs to transform and combine with other NFTs, creating limitless possibilities in art, gaming, and music. 🔹Through the Kondux AI portal it will be possible to communicate with kNFTs. They can learn and adapt. This AI technology is revolutionary because it makes human to kNFT interaction possible, turning it into a unique, personalized experience. Check out the clip of kNFTs in Unreal Engine 5 gameplay below. 👇 Kondux is a very obvious utility play with huge upside because it’s multi narrative. 📈 It's seriously groundbreaking stuff that they’re about to launch. 🚀 After speaking with the team there’s no doubt in my mind this will do crazy big numbers in the next months. 🤑

Altcoin Miyagi🇯🇵

17,303 Aufrufe • vor 1 Jahr

🚨🇺🇸 U.S. IN PANIC: Iran’s Shaheds are already breaking defenses — but China’s drones will be a nightmare Drones are getting cheaper, smarter, and harder to stop. Recent clashes in the Middle East showed how even relatively simple Iranian systems can slip through and damage high-value targets, exposing gaps in US/Israel air defense networks. That battlefield reality is now forcing a harder question, what happens when a more advanced industrial power applies the same logic at scale? China’s ASN-301 represents a different class of threat. Unlike Iran’s Shahed-136, which operates largely as a pre-programmed strike tool, the Chinese system is built to hunt air defenses. It can loiter for hours, detect radar emissions, switch to electro-optical tracking if signals disappear, and receive mid-flight updates via datalink. In effect, it turns the battlefield into a persistent seek-and-destroy environment for radars, the backbone of any modern defense system. Iran relies on volume: cheap, long-range drones launched in waves to exhaust interceptors. China combines that model with precision. Variants like the Feilong-300D push costs even lower while retaining flexibility in payload and targeting, making mass deployment economically viable on an entirely different scale. And this is where the real pressure point emerges. If US systems are already struggling to consistently intercept Iranian drones, the implications are stark. A conflict in the Western Pacific would hinge on production capacity. China’s ability to flood the battlespace with smarter, adaptable drones could force the US and its allies into a costly cycle: burning million-dollar interceptors to stop systems that cost a fraction to produce. The US is facing major difficulties in stopping Iranian drones—do they stand a chance against Chinese drones? NewRulesGeopolitics
0:15

🚨🇺🇸 U.S. IN PANIC: Iran’s Shaheds are already breaking defenses — but China’s drones will be a nightmare Drones are getting cheaper, smarter, and harder to stop. Recent clashes in the Middle East showed how even relatively simple Iranian systems can slip through and damage high-value targets, exposing gaps in US/Israel air defense networks. That battlefield reality is now forcing a harder question, what happens when a more advanced industrial power applies the same logic at scale? China’s ASN-301 represents a different class of threat. Unlike Iran’s Shahed-136, which operates largely as a pre-programmed strike tool, the Chinese system is built to hunt air defenses. It can loiter for hours, detect radar emissions, switch to electro-optical tracking if signals disappear, and receive mid-flight updates via datalink. In effect, it turns the battlefield into a persistent seek-and-destroy environment for radars, the backbone of any modern defense system. Iran relies on volume: cheap, long-range drones launched in waves to exhaust interceptors. China combines that model with precision. Variants like the Feilong-300D push costs even lower while retaining flexibility in payload and targeting, making mass deployment economically viable on an entirely different scale. And this is where the real pressure point emerges. If US systems are already struggling to consistently intercept Iranian drones, the implications are stark. A conflict in the Western Pacific would hinge on production capacity. China’s ability to flood the battlespace with smarter, adaptable drones could force the US and its allies into a costly cycle: burning million-dollar interceptors to stop systems that cost a fraction to produce. The US is facing major difficulties in stopping Iranian drones—do they stand a chance against Chinese drones? NewRulesGeopolitics

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

105,656 Aufrufe • vor 3 Monaten

The Chinese are flying 4 sixth-generation prototypes, but what does that mean? While the West keeps debating wars that seem never-ending, huh, China is flying low – or rather, high! – improving their 6th generation fighter prototypes, like the J-36/J-50, with total focus on advanced integration. This gives a huge strategic advantage, with emphasis on long-range missiles and multiple guidance to dominate global scenarios. China already has about 4 6th generation prototypes and plans to reach 8, selecting the most adapted one. All this under the General Concept: Indestructible Flying Brain: 6th generation fighters go way beyond just a slightly improved stealth; they are central platforms that command a global war web via AI, drones, and varied weapons, making previous fighters obsolete in connectivity and limiting them to very local operations. This omnipresence redefines air superiority, with the fighter surviving as a resilient node in the first hours of conflicts and being able to operate with speed. Kill Web: The Global War Web: The fighter acts as the central node of a real-time network, connecting submarines, satellites, ships, drones, and troops worldwide. It allows omnipresence, receiving data from a destroyer thousands of km away and attacking as if it were right nearby, with AI assisting the pilot in analysis and target acquisition. That's why the Chinese focus on missiles with ranges of thousands of km, with multiple guidance, turning the 6th generation pilot into a tactical manager very different from today's. Being a 6th generation fighter pilot is going to demand a lot. Command of Drone Swarms (CCA/Loyal Wingman) The fighter controls 6-20 drones simultaneously for reconnaissance, jamming, or suicide attacks. It transforms the pilot (or AI) into a "maestro" of a robotic orchestra, or quarterback of Collaborative Combat Aircraft (CCAs), which carry extra weapons, expanding offensive power without exposing the main fighter. Like, a controlled symphony of destruction! Superior Multi-Spectral Stealth (Stealth++) Not limited to radar, it covers infrared, acoustic, visual, and electromagnetic. It uses advanced materials, tailless designs, and minimal thermal signature to penetrate dense A2/AD defenses, making it extremely hard to detect and essential for operations in contested environments. Extreme Range, Autonomy, and New Generation Weapons Combat radius of 1,800-2,500 km without refueling, with sustained supercruise (Mach 1.5-2.0) without afterburner, thanks to adaptive cycle engines and huge internal tanks. There's talk of including lasers, but so far, what's really there are internal hypersonic missiles and 2-3x greater armament capacity than the F-35, all while maintaining total stealth. Artificial Intelligence, Integrated Sensors, Resilience, and Open Architecture AI as co-pilot or main, processing data in real time and making tactical decisions to reduce human load; optionally manned mode: piloted, remote, or autonomous flight; virtual cockpit via helmet visor. Multifunctional sensors combine radar, electronic warfare, communications, and non-kinetic effects, with total data fusion transforming the fighter into a flying data center. Network resistant to jamming and GPS loss via quantum-resistant communications, mesh networks, and inertial/computer vision navigation. Modular architecture allows quick upgrades (90% by software), avoiding high costs like in the F-35; in "Decision Centric Warfare," AI decides in milliseconds, with the human as an optional bottleneck, including cyber warfare and active defense. In another article, I'll talk about what I think of this in terms of costs and demand and if such an investment is really worth it.
0:13

The Chinese are flying 4 sixth-generation prototypes, but what does that mean? While the West keeps debating wars that seem never-ending, huh, China is flying low – or rather, high! – improving their 6th generation fighter prototypes, like the J-36/J-50, with total focus on advanced integration. This gives a huge strategic advantage, with emphasis on long-range missiles and multiple guidance to dominate global scenarios. China already has about 4 6th generation prototypes and plans to reach 8, selecting the most adapted one. All this under the General Concept: Indestructible Flying Brain: 6th generation fighters go way beyond just a slightly improved stealth; they are central platforms that command a global war web via AI, drones, and varied weapons, making previous fighters obsolete in connectivity and limiting them to very local operations. This omnipresence redefines air superiority, with the fighter surviving as a resilient node in the first hours of conflicts and being able to operate with speed. Kill Web: The Global War Web: The fighter acts as the central node of a real-time network, connecting submarines, satellites, ships, drones, and troops worldwide. It allows omnipresence, receiving data from a destroyer thousands of km away and attacking as if it were right nearby, with AI assisting the pilot in analysis and target acquisition. That's why the Chinese focus on missiles with ranges of thousands of km, with multiple guidance, turning the 6th generation pilot into a tactical manager very different from today's. Being a 6th generation fighter pilot is going to demand a lot. Command of Drone Swarms (CCA/Loyal Wingman) The fighter controls 6-20 drones simultaneously for reconnaissance, jamming, or suicide attacks. It transforms the pilot (or AI) into a "maestro" of a robotic orchestra, or quarterback of Collaborative Combat Aircraft (CCAs), which carry extra weapons, expanding offensive power without exposing the main fighter. Like, a controlled symphony of destruction! Superior Multi-Spectral Stealth (Stealth++) Not limited to radar, it covers infrared, acoustic, visual, and electromagnetic. It uses advanced materials, tailless designs, and minimal thermal signature to penetrate dense A2/AD defenses, making it extremely hard to detect and essential for operations in contested environments. Extreme Range, Autonomy, and New Generation Weapons Combat radius of 1,800-2,500 km without refueling, with sustained supercruise (Mach 1.5-2.0) without afterburner, thanks to adaptive cycle engines and huge internal tanks. There's talk of including lasers, but so far, what's really there are internal hypersonic missiles and 2-3x greater armament capacity than the F-35, all while maintaining total stealth. Artificial Intelligence, Integrated Sensors, Resilience, and Open Architecture AI as co-pilot or main, processing data in real time and making tactical decisions to reduce human load; optionally manned mode: piloted, remote, or autonomous flight; virtual cockpit via helmet visor. Multifunctional sensors combine radar, electronic warfare, communications, and non-kinetic effects, with total data fusion transforming the fighter into a flying data center. Network resistant to jamming and GPS loss via quantum-resistant communications, mesh networks, and inertial/computer vision navigation. Modular architecture allows quick upgrades (90% by software), avoiding high costs like in the F-35; in "Decision Centric Warfare," AI decides in milliseconds, with the human as an optional bottleneck, including cyber warfare and active defense. In another article, I'll talk about what I think of this in terms of costs and demand and if such an investment is really worth it.

Patricia Marins

60,344 Aufrufe • vor 7 Monaten

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.
0:12

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

10,095 Aufrufe • vor 2 Monaten

This guy cracked the code on AI-powered fashion ecommerce using synthetic face technology and now pulls $50,000 to $150,000 per month from two Shopify stores without paying a single real model. He got tired of watching DTC fashion brands burn $20,000 monthly on photoshoots while their competitors tested 40 product angles in the same timeframe, so he built a system that generates hyperrealistic fashion content using his gaming PC and real-time AI masks instead of studios, contracts, or casting calls. His monthly profit hit $150,000 last month from just 2 stores and organic TikTok traffic, while traditional fashion brands cap out at $30K after paying models $400 to $800 per shoot and studio rentals of $200 to $500 per session. Here is the exact breakdown: → Real-time synthetic face technology becomes the only tool you need, but most people butcher the setup by skipping motion sync calibration in the first 30 seconds → Product selection comes first, and if you mess this up nothing saves it. Stick to women's accessories (bags, sunglasses, jewelry) because that is where organic TikTok engagement lives → Avatar casting is not random. You build one consistent AI face that repeats across all content so your audience recognizes the "model" and trusts the brand continuity → You are picking who your customer projects onto, not who looks expensive. That is your positioning baked into the face → Motion capture runs before generation, and this is what kills the uncanny valley effect that destroys watch time in 4 seconds → You mirror your own gestures through webcam: wave, chin tap, finger point, shoulder dance. The AI mask tracks every micro-movement and applies it to the generated face in real time → Batching is the move 94 percent skip: same outfit base, multiple product swaps, one recording session. No re-shooting, no model schedules, no usage rights negotiations → The system generates 3 to 5 TikToks before lunch, while traditional brands test 2 per week and wonder why their conversion rates are stuck at 0.8 percent The economics are stupid: each video costs him $0 in talent fees, pulls 1.5 million views organically, converts at 0.03 percent into 450 orders at $45 to $60 retail with $30 to $45 margin per sale. That is $15,750 profit per viral video, while fashion brands pay $1,200 per shoot and net $3,000 after ads. The key move nobody talks about: you cannot skip the motion synchronization test. If you generate the AI face without mirroring your own natural gestures first, the avatar moves like a mannequin. The blinks lag. The smile timing breaks. The whole thing screams "synthetic face technology" and your hook rate dies at 1.1 seconds. His system records him doing the exact dance trend first, so the AI mask inherits human timing, natural head tilts, and spontaneous energy that reads as a real creator showing off a product find, not a rendered advertisement. One accessories store generated 10 variants of the same handbag reveal in 18 minutes with different outfits, different backgrounds, different trend audios, and found the winner in 72 hours without spending $6,000 on influencer gifting. They were previously paying $800 per UGC creator and burning $4,800 per week on content that plateaued at 40K views. Now they spend $0 for 10 variants and their cost per acquisition dropped from $62 to $18. UGC agencies now panic because their entire margin was built on talent scarcity, and this removes the human bottleneck. The outfit changes between clips like a wardrobe filter. The lighting matches bedroom setups. The hand gestures sync with beat drops. No casting call. No model release. No location permits. Just a webcamera, a real-time AI mask, and the discipline to batch-test product angles before you commit ad spend to one creative.
0:13

This guy cracked the code on AI-powered fashion ecommerce using synthetic face technology and now pulls $50,000 to $150,000 per month from two Shopify stores without paying a single real model. He got tired of watching DTC fashion brands burn $20,000 monthly on photoshoots while their competitors tested 40 product angles in the same timeframe, so he built a system that generates hyperrealistic fashion content using his gaming PC and real-time AI masks instead of studios, contracts, or casting calls. His monthly profit hit $150,000 last month from just 2 stores and organic TikTok traffic, while traditional fashion brands cap out at $30K after paying models $400 to $800 per shoot and studio rentals of $200 to $500 per session. Here is the exact breakdown: → Real-time synthetic face technology becomes the only tool you need, but most people butcher the setup by skipping motion sync calibration in the first 30 seconds → Product selection comes first, and if you mess this up nothing saves it. Stick to women's accessories (bags, sunglasses, jewelry) because that is where organic TikTok engagement lives → Avatar casting is not random. You build one consistent AI face that repeats across all content so your audience recognizes the "model" and trusts the brand continuity → You are picking who your customer projects onto, not who looks expensive. That is your positioning baked into the face → Motion capture runs before generation, and this is what kills the uncanny valley effect that destroys watch time in 4 seconds → You mirror your own gestures through webcam: wave, chin tap, finger point, shoulder dance. The AI mask tracks every micro-movement and applies it to the generated face in real time → Batching is the move 94 percent skip: same outfit base, multiple product swaps, one recording session. No re-shooting, no model schedules, no usage rights negotiations → The system generates 3 to 5 TikToks before lunch, while traditional brands test 2 per week and wonder why their conversion rates are stuck at 0.8 percent The economics are stupid: each video costs him $0 in talent fees, pulls 1.5 million views organically, converts at 0.03 percent into 450 orders at $45 to $60 retail with $30 to $45 margin per sale. That is $15,750 profit per viral video, while fashion brands pay $1,200 per shoot and net $3,000 after ads. The key move nobody talks about: you cannot skip the motion synchronization test. If you generate the AI face without mirroring your own natural gestures first, the avatar moves like a mannequin. The blinks lag. The smile timing breaks. The whole thing screams "synthetic face technology" and your hook rate dies at 1.1 seconds. His system records him doing the exact dance trend first, so the AI mask inherits human timing, natural head tilts, and spontaneous energy that reads as a real creator showing off a product find, not a rendered advertisement. One accessories store generated 10 variants of the same handbag reveal in 18 minutes with different outfits, different backgrounds, different trend audios, and found the winner in 72 hours without spending $6,000 on influencer gifting. They were previously paying $800 per UGC creator and burning $4,800 per week on content that plateaued at 40K views. Now they spend $0 for 10 variants and their cost per acquisition dropped from $62 to $18. UGC agencies now panic because their entire margin was built on talent scarcity, and this removes the human bottleneck. The outfit changes between clips like a wardrobe filter. The lighting matches bedroom setups. The hand gestures sync with beat drops. No casting call. No model release. No location permits. Just a webcamera, a real-time AI mask, and the discipline to batch-test product angles before you commit ad spend to one creative.

Kaidu

19,607 Aufrufe • vor 1 Monat

🚨 SOUTH KOREAN SCIENTISTS JUST CREATED HOLLOW SILICON NANOTUBES THAT TRAP HEAT AND TURN WASTE ENERGY INTO ELECTRICITY. Researchers at POSTECH have developed a new hollow silicon nanotube structure that dramatically reduces thermal conductivity. By turning solid nanowires into microscopic pipes, they trapped heat-carrying particles (phonons) inside the tubes, cutting thermal conductivity by 70% compared to solid wires. Even when both structures had the same surface area, the hollow nanotubes still ran 33% cooler. This phonon localization effect previously thought to require extreme cold or exotic materials was achieved at near-room temperature using simple silicon nanotubes. Why this matters: • Waste heat from data centers, EV batteries, factories, and electronics is currently lost this could capture and convert it into usable electricity • The technology uses abundant, cheap silicon instead of rare and expensive materials like bismuth and tellurium • It’s highly compatible with existing semiconductor manufacturing, making large-scale production more realistic • It solves a long-standing problem: silicon is great for chips but terrible for thermoelectric energy conversion The deeper implication: This breakthrough shows that clever nanoscale engineering can unlock new capabilities from ordinary materials. By controlling how heat moves at the atomic level, researchers are opening a path to more efficient energy recovery systems without relying on scarce resources. As AI and computing power keep growing, finding ways to recycle the massive amounts of waste heat they generate will become increasingly important. How significant do you think waste-heat recovery technologies like this could become in the next decade? Follow for more frontier materials science and energy innovation.
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🚨 SOUTH KOREAN SCIENTISTS JUST CREATED HOLLOW SILICON NANOTUBES THAT TRAP HEAT AND TURN WASTE ENERGY INTO ELECTRICITY. Researchers at POSTECH have developed a new hollow silicon nanotube structure that dramatically reduces thermal conductivity. By turning solid nanowires into microscopic pipes, they trapped heat-carrying particles (phonons) inside the tubes, cutting thermal conductivity by 70% compared to solid wires. Even when both structures had the same surface area, the hollow nanotubes still ran 33% cooler. This phonon localization effect previously thought to require extreme cold or exotic materials was achieved at near-room temperature using simple silicon nanotubes. Why this matters: • Waste heat from data centers, EV batteries, factories, and electronics is currently lost this could capture and convert it into usable electricity • The technology uses abundant, cheap silicon instead of rare and expensive materials like bismuth and tellurium • It’s highly compatible with existing semiconductor manufacturing, making large-scale production more realistic • It solves a long-standing problem: silicon is great for chips but terrible for thermoelectric energy conversion The deeper implication: This breakthrough shows that clever nanoscale engineering can unlock new capabilities from ordinary materials. By controlling how heat moves at the atomic level, researchers are opening a path to more efficient energy recovery systems without relying on scarce resources. As AI and computing power keep growing, finding ways to recycle the massive amounts of waste heat they generate will become increasingly important. How significant do you think waste-heat recovery technologies like this could become in the next decade? Follow for more frontier materials science and energy innovation.

TheNewPhysics

25,739 Aufrufe • vor 20 Tagen

The era of monsters like AUKUS is over. When the AUKUS program – which I will discuss in the coming days – was designed, it was already obsolete. Its most likely future is cancellation as many US programs during the last years. Just as drones in Ukraine dominated the battlefield in Ukraine, and proved that anything big and slow becomes vulnerable and almost useless, the same fate now reaches submarines. Hundreds of underwater drones will hunt submarines for hours or days until they find them, and China leads these breakthrough technologies. Two stand out: - Magnetic Wake Detection: developed by Northwestern Polytechnical University (NPU), it tracks magnetic disturbances left by moving submarines, even stealth Seawolf-class ones. Chinese UUVs already integrate this with existing MAD systems, mapping persistent wakes in real time. In 2025 tests, it merged with acoustic networks and AI to form a vast detection grid. - CPT Atomic Magnetometer (quantum sensor): the most promising, it eliminates low-latitude blind spots with extreme precision. Initially tested on tethered aerial drones, it is now being adapted for submerged UUVs using rubidium for omnidirectional anomaly detection. CASC researchers are miniaturising and mass-producing it; in simulations, AI-equipped UUVs distinguished real targets from false positives (e.g. whales) with 95% accuracy. None of this is theoretical – it is already part of China’s Underwater Great Wall, a mobile sensor network fusing magnetic, passive sonar and AI data. This is exactly why Japan’s new submarine - using lithium batteries- program draws so much attention: excellent cost, real innovation, and units entering service before 2032 will also be modern long-range (1,000-3,000km) missile platforms even for hypersonic missiles. They are cheap enough that the AUKUS budget could hypothetically buy hundreds of them. The future lies in smaller, cheaper, more numerous units – never the opposite. Modern warfare is entering the age of decentralisation, and programs like AUKUS are its exact antithesis.
0:14

The era of monsters like AUKUS is over. When the AUKUS program – which I will discuss in the coming days – was designed, it was already obsolete. Its most likely future is cancellation as many US programs during the last years. Just as drones in Ukraine dominated the battlefield in Ukraine, and proved that anything big and slow becomes vulnerable and almost useless, the same fate now reaches submarines. Hundreds of underwater drones will hunt submarines for hours or days until they find them, and China leads these breakthrough technologies. Two stand out: - Magnetic Wake Detection: developed by Northwestern Polytechnical University (NPU), it tracks magnetic disturbances left by moving submarines, even stealth Seawolf-class ones. Chinese UUVs already integrate this with existing MAD systems, mapping persistent wakes in real time. In 2025 tests, it merged with acoustic networks and AI to form a vast detection grid. - CPT Atomic Magnetometer (quantum sensor): the most promising, it eliminates low-latitude blind spots with extreme precision. Initially tested on tethered aerial drones, it is now being adapted for submerged UUVs using rubidium for omnidirectional anomaly detection. CASC researchers are miniaturising and mass-producing it; in simulations, AI-equipped UUVs distinguished real targets from false positives (e.g. whales) with 95% accuracy. None of this is theoretical – it is already part of China’s Underwater Great Wall, a mobile sensor network fusing magnetic, passive sonar and AI data. This is exactly why Japan’s new submarine - using lithium batteries- program draws so much attention: excellent cost, real innovation, and units entering service before 2032 will also be modern long-range (1,000-3,000km) missile platforms even for hypersonic missiles. They are cheap enough that the AUKUS budget could hypothetically buy hundreds of them. The future lies in smaller, cheaper, more numerous units – never the opposite. Modern warfare is entering the age of decentralisation, and programs like AUKUS are its exact antithesis.

Patricia Marins

509,860 Aufrufe • vor 7 Monaten

DIRECTED ENERGY WEAPONS (DEWs) While typical civilian access to DEW technology is hyper limited, AI gives more insight into the reality of Directed Energy Weapons as used in combat. However, this is not a very comprehensive snapshot of what DEW munitions really are. First, they are not lasers, but rather known as sasers (sound outside of human audible range) that delivers more than just excited photons as per lasers, but envelopes microwave radiation delivered through linear particle accelerators and amplified by square-wave (jackhammer) ultrasonic concussion exceeding 20,000 pulses per second, where each impact doubles in energy through secondary emissions for every pulse. Secondary emissions are created on-the-spot through Neutrino Events that harvests brand-new energy directly out of atmospheric neutrinos, turning them into new ions. Hence why saser beams deliver more energy to the target than anything short of a nuclear blast. DEWs also actively draw energy out of surrounding capacitors at the scene of the target as well as from local sources in the path of the beam. Microwaves excite the electrons within the target structure, such as car batteries and the electric wires inside homes, that causes additional increase in amplitude. Since the energy being siphoned off is focused in the zero point of the beam, that area creates dual opposing twin vortices at zero target forming a hyperbola in the center of the affected area where the energy collapses in on itself, sucking oxygen out of the air which then amplifies the thermal radiation only within that toroidal vortex area, achieving crucible-level temperatures in an open-air setting. This is hyper-accelerated by the coupling of the SBX-1 mobile Vortex generator that delivers oxygen to the strike zone with hyper-focused accuracy at up to 70+ MPH winds. Which is why target zones see hurricane winds out of nowhere and from clear skies without any clouds. DEWs generate temperatures that are vastly higher than normal house or forest fires; 1200F and 1500F respectively. A self-imploding DEW saser strike can generate thermal signatures high enough to burn terracotta roofing tiles (2100F), melt glass (2900F), and vaporize stucco walls that are rated to hold up for 1 HOUR under direct torch flame, rendering it to tiny traces of powder. Even the concrete slab foundations of homes in the Santa Rosa fire of 2017 had been incinerated and literally gone as if evaporated into the air. Since the air surrounding the strike zone becomes immediately depleted, fire will not be readily sustained anywhere outside of the hyperbola area (just the home or automobile), leaving brush, trees, plastic, within just a few feet away barely seared and, in many cases, totally unscathed altogether. Houses that incinerate all the way down to ash within minutes will leave no soot, or flame marks on white-painted homes as little as ten feet away as if there was no heat or fire present of any kind. It is important to note that a normal house fire takes 3-4 hours to burn down, leaving large portions of the home and contents behind unconsumed. DEW crucible vortex fires consumed homes down to nothing but white ash in Santa Rosa, incinerated within 20 minutes that I observed after pounding on doors in one residential neighborhood of 2 story homes at 2:30 in the morning screaming to get out, then returning to that same location less than a half hour later, with nothing left but smoldering ash. There is nothing ‘normal’ about DEW remains. Kitchen stoves, pots and pans, washers, dryers, water heaters simply vanished. The cast-iron engines in cars just gone with their aluminum alloy wheels and windows melted on the street. Since DEW sasers work through the delivery of microwaves (that are radioactive) through encapsulation within tachyons (like protective bubbles), the resulting debris fields of target areas are also left contaminated, similar to the aftermath of nuclear detonation sites. The sites where homes once stood in the Santa Rosa fire for instance, had to have the soil under the vaporized concrete slabs excavated and stored in radiation containment casks before any new construction could resume, as reported by locals there that were involved in the cleanup. The Lahaina target homes in Maui are still blocked off with absolutely no entrance for any reason for this same reason almost a year and a half later. DEWs have been seen pulling massive arcs from lightning strikes, obviously generated by the extreme excitation of atmospheric particles of the beam, as well as from overhead electrical wires that supercharge the phonon shafts that are invisible to the naked eye unless backlit from flame or sparks. This technology has been shown to cut full size military ships in half from high altitude delivery systems in seconds, rendering all previous forms of explosive armaments, including nuclear warheads, obsolete. All the military weapons delivered from the US and other countries to Ukraine in recent years were outdated and considered unusable in a genuine modern conflict and were therefore literally being disposed of to make room for other, newer forms of weaponry in armories here at home. In other words, they were merely junk. US dark and black ops have had functioning DEW assault systems in place for many decades already. While AI admits to Turkey using them in combat in 2019, the real date of deployment of DEWs goes back more than just centuries, but prior to humans' arrival to earth in 560m BC. A recent use of DEWs shown here from the Great Chicago Fire of 1871. An even more recent DEW ‘Tara Cleansing’ as they’re called, was the Great San Francisco Fire of 1906 that was blamed on a 7.9 earthquake. And yes, the HAARP SBX-1 hurricane generator is also an earthquake generator as well. None of this is new tech, just new to you. Satellite and antigravity drone delivery of such weapons are entirely remotely-controlled, placing no mil soldiers' lives on the line to mount a siege, making military battlefield loss of life virtually a thing of the past at this time. VIDEO: DEW ATTACK PACIFIC PALISADES 1/8/25 gratis Kyle Zink
0:10

DIRECTED ENERGY WEAPONS (DEWs) While typical civilian access to DEW technology is hyper limited, AI gives more insight into the reality of Directed Energy Weapons as used in combat. However, this is not a very comprehensive snapshot of what DEW munitions really are. First, they are not lasers, but rather known as sasers (sound outside of human audible range) that delivers more than just excited photons as per lasers, but envelopes microwave radiation delivered through linear particle accelerators and amplified by square-wave (jackhammer) ultrasonic concussion exceeding 20,000 pulses per second, where each impact doubles in energy through secondary emissions for every pulse. Secondary emissions are created on-the-spot through Neutrino Events that harvests brand-new energy directly out of atmospheric neutrinos, turning them into new ions. Hence why saser beams deliver more energy to the target than anything short of a nuclear blast. DEWs also actively draw energy out of surrounding capacitors at the scene of the target as well as from local sources in the path of the beam. Microwaves excite the electrons within the target structure, such as car batteries and the electric wires inside homes, that causes additional increase in amplitude. Since the energy being siphoned off is focused in the zero point of the beam, that area creates dual opposing twin vortices at zero target forming a hyperbola in the center of the affected area where the energy collapses in on itself, sucking oxygen out of the air which then amplifies the thermal radiation only within that toroidal vortex area, achieving crucible-level temperatures in an open-air setting. This is hyper-accelerated by the coupling of the SBX-1 mobile Vortex generator that delivers oxygen to the strike zone with hyper-focused accuracy at up to 70+ MPH winds. Which is why target zones see hurricane winds out of nowhere and from clear skies without any clouds. DEWs generate temperatures that are vastly higher than normal house or forest fires; 1200F and 1500F respectively. A self-imploding DEW saser strike can generate thermal signatures high enough to burn terracotta roofing tiles (2100F), melt glass (2900F), and vaporize stucco walls that are rated to hold up for 1 HOUR under direct torch flame, rendering it to tiny traces of powder. Even the concrete slab foundations of homes in the Santa Rosa fire of 2017 had been incinerated and literally gone as if evaporated into the air. Since the air surrounding the strike zone becomes immediately depleted, fire will not be readily sustained anywhere outside of the hyperbola area (just the home or automobile), leaving brush, trees, plastic, within just a few feet away barely seared and, in many cases, totally unscathed altogether. Houses that incinerate all the way down to ash within minutes will leave no soot, or flame marks on white-painted homes as little as ten feet away as if there was no heat or fire present of any kind. It is important to note that a normal house fire takes 3-4 hours to burn down, leaving large portions of the home and contents behind unconsumed. DEW crucible vortex fires consumed homes down to nothing but white ash in Santa Rosa, incinerated within 20 minutes that I observed after pounding on doors in one residential neighborhood of 2 story homes at 2:30 in the morning screaming to get out, then returning to that same location less than a half hour later, with nothing left but smoldering ash. There is nothing ‘normal’ about DEW remains. Kitchen stoves, pots and pans, washers, dryers, water heaters simply vanished. The cast-iron engines in cars just gone with their aluminum alloy wheels and windows melted on the street. Since DEW sasers work through the delivery of microwaves (that are radioactive) through encapsulation within tachyons (like protective bubbles), the resulting debris fields of target areas are also left contaminated, similar to the aftermath of nuclear detonation sites. The sites where homes once stood in the Santa Rosa fire for instance, had to have the soil under the vaporized concrete slabs excavated and stored in radiation containment casks before any new construction could resume, as reported by locals there that were involved in the cleanup. The Lahaina target homes in Maui are still blocked off with absolutely no entrance for any reason for this same reason almost a year and a half later. DEWs have been seen pulling massive arcs from lightning strikes, obviously generated by the extreme excitation of atmospheric particles of the beam, as well as from overhead electrical wires that supercharge the phonon shafts that are invisible to the naked eye unless backlit from flame or sparks. This technology has been shown to cut full size military ships in half from high altitude delivery systems in seconds, rendering all previous forms of explosive armaments, including nuclear warheads, obsolete. All the military weapons delivered from the US and other countries to Ukraine in recent years were outdated and considered unusable in a genuine modern conflict and were therefore literally being disposed of to make room for other, newer forms of weaponry in armories here at home. In other words, they were merely junk. US dark and black ops have had functioning DEW assault systems in place for many decades already. While AI admits to Turkey using them in combat in 2019, the real date of deployment of DEWs goes back more than just centuries, but prior to humans' arrival to earth in 560m BC. A recent use of DEWs shown here from the Great Chicago Fire of 1871. An even more recent DEW ‘Tara Cleansing’ as they’re called, was the Great San Francisco Fire of 1906 that was blamed on a 7.9 earthquake. And yes, the HAARP SBX-1 hurricane generator is also an earthquake generator as well. None of this is new tech, just new to you. Satellite and antigravity drone delivery of such weapons are entirely remotely-controlled, placing no mil soldiers' lives on the line to mount a siege, making military battlefield loss of life virtually a thing of the past at this time. VIDEO: DEW ATTACK PACIFIC PALISADES 1/8/25 gratis Kyle Zink

W.R. Schock, QBD

611,836 Aufrufe • vor 1 Jahr

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂
0:18

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,891 Aufrufe • vor 2 Jahren

Those investing in submarines today may be wasting money. A Virginia-class submarine, powered by an S9G reactor, has a submerged displacement of around 10,000 tons and costs approximately $4–5.8 billion. Its top speed is over 30 knots. Now imagine a much smaller reactor, with power and weight around 15% of the Virginia's, used solely to continuously recharge a solid-state battery bank. Solid-state batteries weigh about half as much as lithium-ion batteries while offering 2-3x more energy capacity. In practice, this means that with the same battery weight, such a sub could achieve roughly 3x the energy gain, In terms of speed, solid-state batteries deliver double or higher discharge rates (potentially 10–20C vs. 5–10C for lithium-ion), ideal for sustained sprints above 30 knots lasting many days and a cruising speed around 25 knots. All this with 15% less overall weight, much quieter operation on batteries alone, and the same endurance as a conventional nuclear sub. And the cost? A micro-reactor would be 15–25% the price of a conventional one, small, modular, low-temperature/low-pressure. This means that when a more modern reactor is needed, you simply swap the module. A micro-reactor paired with solid-state batteries could make a Virginia-class sub $1.2-1.6 billion cheaper, quieter, and leave far more space for weapons, additional batteries, or crew comfort. That's why this system would put all existing submarines at a disadvantage in terms of cost, space, and stealth. Those not adopting micro nuclear reactors can follow what the Germans, Japanese, and French are doing. The Japanese pioneered lithium-ion batteries with diesel chargers, giving their submarines excellent value for money. The Germans chose a fuel cell AIP system to recharge lithium-ion batteries, while the French opted for a similar Japanese-style approach with a battery configuration allowing up to 80 days endurance, making the new Scorpène highly competitive. Starting around 2030, production will shift to solid-state batteries, tripling the capacity of these conventional submarines and enabling silent navigation at around 25 knots for days,making them superior in stealth and speed to many nuclear submarines currently in service. Submarines powered by solid-state batteries, recharged via micro-reactors, fuel cells, or diesel, will be superior: better armed, cheaper, and stealthier than anything we know today.
0:15

Those investing in submarines today may be wasting money. A Virginia-class submarine, powered by an S9G reactor, has a submerged displacement of around 10,000 tons and costs approximately $4–5.8 billion. Its top speed is over 30 knots. Now imagine a much smaller reactor, with power and weight around 15% of the Virginia's, used solely to continuously recharge a solid-state battery bank. Solid-state batteries weigh about half as much as lithium-ion batteries while offering 2-3x more energy capacity. In practice, this means that with the same battery weight, such a sub could achieve roughly 3x the energy gain, In terms of speed, solid-state batteries deliver double or higher discharge rates (potentially 10–20C vs. 5–10C for lithium-ion), ideal for sustained sprints above 30 knots lasting many days and a cruising speed around 25 knots. All this with 15% less overall weight, much quieter operation on batteries alone, and the same endurance as a conventional nuclear sub. And the cost? A micro-reactor would be 15–25% the price of a conventional one, small, modular, low-temperature/low-pressure. This means that when a more modern reactor is needed, you simply swap the module. A micro-reactor paired with solid-state batteries could make a Virginia-class sub $1.2-1.6 billion cheaper, quieter, and leave far more space for weapons, additional batteries, or crew comfort. That's why this system would put all existing submarines at a disadvantage in terms of cost, space, and stealth. Those not adopting micro nuclear reactors can follow what the Germans, Japanese, and French are doing. The Japanese pioneered lithium-ion batteries with diesel chargers, giving their submarines excellent value for money. The Germans chose a fuel cell AIP system to recharge lithium-ion batteries, while the French opted for a similar Japanese-style approach with a battery configuration allowing up to 80 days endurance, making the new Scorpène highly competitive. Starting around 2030, production will shift to solid-state batteries, tripling the capacity of these conventional submarines and enabling silent navigation at around 25 knots for days,making them superior in stealth and speed to many nuclear submarines currently in service. Submarines powered by solid-state batteries, recharged via micro-reactors, fuel cells, or diesel, will be superior: better armed, cheaper, and stealthier than anything we know today.

Patricia Marins

288,841 Aufrufe • vor 7 Monaten