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Two legends. Born in duality. Experience Pragmata on the ROG NUC 16 — a compact gaming powerhouse built to unleash high-FPS gameplay without missing a beat. Powered by up to an NVIDIA® GeForce RTX™ 5080 Laptop GPU with DLSS 4.5 Super Resolution and next-gen Transformer AI, it brings smooth,... show more

ROG Global

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17,183 просмотров • 1 месяц назад •via X (Twitter)

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I really don't post wins much on this app 🤣🤣 it feels good being low-key. Although, let's doxx this one!. Most of the time, I win big, I reinvest, win again, reinvest. I barely spend on myself much, mostly spend my money helping people, or supporting the needy. It's time for me 😌. Hey NVIDIA GeForce Hey ROG Global I Just slapped a Brand new heavy machine in my bag! One of the most powerful laptops of 2025! Emphasis on BRAND NEW! Introducing, the new owner of the ASUS ROG STRIX G16 2025. SPECS: - Intel Core Ultra 9 275HX Processor - 32GB DDR5 RAM - Nvidia GeForce RTX™ 5080 Dedicated GPU with a massive 16GB DDR7 VRAM - 3TB PCIe 4.0 SSD NVME storage - 24 Cores CPU (16 E-cores + 8 P-cores) - Base Frequency 2.70GHz - Max Turbo Frequency 5.40GHz 6 Million Naira well spent on this bad boy. Now, let's lock-in again and run it up back turbo! I need my $U bag soon enough 🤭. Pitch me on to node running, and prover projects, I'm fully locked in.

🐐𝙲𝚛𝚢𝚙𝚝𝚘𝙳𝚛𝚊𝚐𝚘𝚗「🦑」

18,821 просмотров • 10 месяцев назад

Nobody is talking about what this Nvidia laptop actually means for creators Jensen Huang walked on stage and held up the RTX Spark like it was nothing special. Full Blackwell GPU. 1 petaflop of AI performance inside a laptop. It renders, edits and runs local AI models faster than most desktop setups people have at home. You pay zero monthly fees because everything runs locally on the device. Creators who switch stop paying $300 a month in tools immediately. Video editors are already charging $150 an hour using the AI workflows this chip makes possible. At 8 hours a day that is $3,600 a week from a single laptop. Most people are still waiting 3 hours for a render this thing finishes in 10 minutes. The reaction in this clip says everything. Follow if you want to know what actually matters before everyone else figures it out.

Nobody is talking about what this Nvidia laptop actually means for creators Jensen Huang walked on stage and held up the RTX Spark like it was nothing special. Full Blackwell GPU. 1 petaflop of AI performance inside a laptop. It renders, edits and runs local AI models faster than most desktop setups people have at home. You pay zero monthly fees because everything runs locally on the device. Creators who switch stop paying $300 a month in tools immediately. Video editors are already charging $150 an hour using the AI workflows this chip makes possible. At 8 hours a day that is $3,600 a week from a single laptop. Most people are still waiting 3 hours for a render this thing finishes in 10 minutes. The reaction in this clip says everything. Follow if you want to know what actually matters before everyone else figures it out.

winkle.

14,477 просмотров • 1 месяц назад

$🔥Nexera & Aethir: Unleashing AI’s Next Frontier Through Tokenized GPU Power 🤝 Nexera is proud to join forces with Aethir in a strategic partnership to make cutting-edge AI infrastructure globally accessible. By tokenizing fractional GPU ownership, we’re enabling developers, enterprises, and investors everywhere to harness the explosive growth of deep learning and generative AI without being limited by geography, scale, or cost. With transparent tokenization, innovators can access powerful GPUs for faster model training and more advanced applications. GPU providers gain streamlined funding for expansion and upgrades, and investors tap into a high-growth market with secure, compliant opportunities that can provide higher yields than other RWA products. It’s an entirely new ecosystem where everyone can thrive, fueling AI’s evolution at an unprecedented pace. By 2030, the global GPU market is projected to exceed hundreds of billions of dollars, driven by the explosive demand for AI-powered applications, deep learning, and increasingly sophisticated generative models, ensuring that tokenizing these invaluable resources is poised to tap into a massive, rapidly expanding opportunity. $NXRA$

🔥Nexera & Aethir: Unleashing AI’s Next Frontier Through Tokenized GPU Power 🤝 Nexera is proud to join forces with Aethir in a strategic partnership to make cutting-edge AI infrastructure globally accessible. By tokenizing fractional GPU ownership, we’re enabling developers, enterprises, and investors everywhere to harness the explosive growth of deep learning and generative AI without being limited by geography, scale, or cost. With transparent tokenization, innovators can access powerful GPUs for faster model training and more advanced applications. GPU providers gain streamlined funding for expansion and upgrades, and investors tap into a high-growth market with secure, compliant opportunities that can provide higher yields than other RWA products. It’s an entirely new ecosystem where everyone can thrive, fueling AI’s evolution at an unprecedented pace. By 2030, the global GPU market is projected to exceed hundreds of billions of dollars, driven by the explosive demand for AI-powered applications, deep learning, and increasingly sophisticated generative models, ensuring that tokenizing these invaluable resources is poised to tap into a massive, rapidly expanding opportunity. $NXRA

Nexera

27,776 просмотров • 1 год назад

📺 China’s Flying TV is here — and it’s mind-blowing. 🤯 I still can’t get over this. A drone-powered LED display that hovers mid-air, turning the sky into a living, moving screen. Not a drone. Not a billboard. Something entirely new. This is both — fused, intelligent, and powered by AI. 🇨🇳 What makes it so impressive: ➡️ Ultra-light LED screen with HD visuals ➡️ Balanced in flight by AI-driven gyroscopes ➡️ Smooth, stable, and autonomous flight control ➡️ Operates remotely or follows programmed paths It’s powered by lithium-polymer batteries, yet looks effortless as it floats — like it belongs there. 🎯 Possible use cases: open-air concerts, sports arenas, public messages, or next-gen sky advertising. To me, this is where AI starts to move beyond function — into wonder. It’s not just about smarter machines, but about reshaping how we experience technology itself. 👀 The next screen you look at might not be on a wall… it might be in the sky. #AI #Innovation #Technology #Drones #FlyingTV #Automation #Creativity #FutureOfWork Credits: Olivier Gomez

📺 China’s Flying TV is here — and it’s mind-blowing. 🤯 I still can’t get over this. A drone-powered LED display that hovers mid-air, turning the sky into a living, moving screen. Not a drone. Not a billboard. Something entirely new. This is both — fused, intelligent, and powered by AI. 🇨🇳 What makes it so impressive: ➡️ Ultra-light LED screen with HD visuals ➡️ Balanced in flight by AI-driven gyroscopes ➡️ Smooth, stable, and autonomous flight control ➡️ Operates remotely or follows programmed paths It’s powered by lithium-polymer batteries, yet looks effortless as it floats — like it belongs there. 🎯 Possible use cases: open-air concerts, sports arenas, public messages, or next-gen sky advertising. To me, this is where AI starts to move beyond function — into wonder. It’s not just about smarter machines, but about reshaping how we experience technology itself. 👀 The next screen you look at might not be on a wall… it might be in the sky. #AI #Innovation #Technology #Drones #FlyingTV #Automation #Creativity #FutureOfWork Credits: Olivier Gomez

Pascal Bornet

276,844 просмотров • 6 месяцев назад

𝐑𝐲𝐧𝐮𝐬 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐆𝐏𝐔 𝐒𝐚𝐥𝐞 𝐢𝐬 𝐍𝐎𝐖 𝐋𝐈𝐕𝐄! 👉 Join now: The gate to DePIN x RWA landscape on Solana is officially OPEN! Becoming a virtual GPU owner means you’re not just early - you’re essential! ✨ vGPU Owners' Benefits Include: 🔹 Backed by enterprise-grade GPU clusters powered by RTX 4090 high-performance 🔹 Daily stablecoin earnings (before Rynus mainnet launch) with estimated APR up to 100% 🔹 Act as Computing Providers to serve Rynus's enterprise clients on real-life tasks (AI Training, 3D Rendering, Data Processing,...) 🔹 Gpoint earnings and airdrop reward on TGE 🔹 Special vGPU Owner role in Discord 🧵Full vGPU Sale Guide:

𝐑𝐲𝐧𝐮𝐬 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐆𝐏𝐔 𝐒𝐚𝐥𝐞 𝐢𝐬 𝐍𝐎𝐖 𝐋𝐈𝐕𝐄! 👉 Join now: The gate to DePIN x RWA landscape on Solana is officially OPEN! Becoming a virtual GPU owner means you’re not just early - you’re essential! ✨ vGPU Owners' Benefits Include: 🔹 Backed by enterprise-grade GPU clusters powered by RTX 4090 high-performance 🔹 Daily stablecoin earnings (before Rynus mainnet launch) with estimated APR up to 100% 🔹 Act as Computing Providers to serve Rynus's enterprise clients on real-life tasks (AI Training, 3D Rendering, Data Processing,...) 🔹 Gpoint earnings and airdrop reward on TGE 🔹 Special vGPU Owner role in Discord 🧵Full vGPU Sale Guide:

Rynus

45,491 просмотров • 1 год назад

OPINION: WILL NEURALINK LET HUMANS KEEP UP WITH SUPERINTELLIGENT AI? The truth is simple. In the next five to ten years we could have AI thousands of times smarter than any human. Our brains are amazing, but they are slow compared to AI. We speak about 150 words a minute and type even slower. Super intelligent AI will think and solve problems at speeds we cannot imagine. Neuralink is a solution. That amazing, tiny implant connects your brain directly to computers. You think and the machine responds instantly, no more slow keyboards or speech. More than a dozen people already have Neuralink implants. Some who were fully paralyzed are now playing video games, designing 3D models, and controlling computers just by thinking. Elon says the next steps are real telepathy and downloading knowledge straight into your brain. The plan is not to beat super intelligent AI in a race we cannot win. The plan is to team up with it. A high-speed brain link lets our human creativity, emotions, and values guide the AI while we get its incredible power. In the future, will there be a day without Neuralink, most people get left behind?

OPINION: WILL NEURALINK LET HUMANS KEEP UP WITH SUPERINTELLIGENT AI? The truth is simple. In the next five to ten years we could have AI thousands of times smarter than any human. Our brains are amazing, but they are slow compared to AI. We speak about 150 words a minute and type even slower. Super intelligent AI will think and solve problems at speeds we cannot imagine. Neuralink is a solution. That amazing, tiny implant connects your brain directly to computers. You think and the machine responds instantly, no more slow keyboards or speech. More than a dozen people already have Neuralink implants. Some who were fully paralyzed are now playing video games, designing 3D models, and controlling computers just by thinking. Elon says the next steps are real telepathy and downloading knowledge straight into your brain. The plan is not to beat super intelligent AI in a race we cannot win. The plan is to team up with it. A high-speed brain link lets our human creativity, emotions, and values guide the AI while we get its incredible power. In the future, will there be a day without Neuralink, most people get left behind?

Mario Nawfal

29,841 просмотров • 7 месяцев назад

To build the next major leap in spatial computing, you can't rely on standard hardware architecture. That’s why we partnered with Snapdragon. We are incredibly proud to announce that the new XREAL AURA is the world’s first device powered by the new Snapdragon Reality Elite platform. To deliver an industry-leading 70° FOV and real-time processing, we utilized a revolutionary split-compute dual-chip architecture. By pairing the Snapdragon Reality Elite with XREAL’s custom X1S co-processor, we efficiently distribute the processing load. The X1S handles sensor fusion and spatial mapping at the edge, freeing the Snapdragon chip to run Android XR and GeminiI at absolute maximum performance without thermal throttling. The result? The most immersive XR experience ever engineered into a portable form factor. At just under 95g, you get the performance of a high-end spatial computer in a glasses form factor you can actually wear all day. Secure your spot in the next generation of XR: Reserve the XREAL AURA now for USD 99 and receive a USD 199 credit toward your final purchase at launch. 🔗 Reserve Yours Now:

To build the next major leap in spatial computing, you can't rely on standard hardware architecture. That’s why we partnered with Snapdragon. We are incredibly proud to announce that the new XREAL AURA is the world’s first device powered by the new Snapdragon Reality Elite platform. To deliver an industry-leading 70° FOV and real-time processing, we utilized a revolutionary split-compute dual-chip architecture. By pairing the Snapdragon Reality Elite with XREAL’s custom X1S co-processor, we efficiently distribute the processing load. The X1S handles sensor fusion and spatial mapping at the edge, freeing the Snapdragon chip to run Android XR and GeminiI at absolute maximum performance without thermal throttling. The result? The most immersive XR experience ever engineered into a portable form factor. At just under 95g, you get the performance of a high-end spatial computer in a glasses form factor you can actually wear all day. Secure your spot in the next generation of XR: Reserve the XREAL AURA now for USD 99 and receive a USD 199 credit toward your final purchase at launch. 🔗 Reserve Yours Now:

XREAL 👓

21,125 просмотров • 1 месяц назад

$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. 🤑

$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 просмотров • 1 год назад

Run Gemma 4 26B MoE on 8GB VRAM with 250k context at 20+ tokens/sec If you own any 8GB VRAM graphics card, stop what you are doing. Local AI just had its absolute "Holy Shit" moment for budget hardware. Yesterday, I benchmarked Unsloth Gemma 4 12B Q4_K_XL on an 8GB card. The community went wild but immediately demanded more: "Can we run a 25B+ model on budget GPUs?" Today, I’m delivering exactly that. I am running a massive 26B parameter Mixture of Experts (MoE) model locally on a standard 8GB VRAM setup with 250k full native context!. If you own an RTX 3060, 3070, 4060, or any budget GPU with 8GB of VRAM, the local AI paradigm has completely changed. The performance metrics are astonishing: - 20 tokens/sec flat decode throughput. - Stable, flat decode speed even with massive prompts. - I threw a 60k token prompt at it, and it still clocked in at 20 TPS without dropping a single frame. # What about prefill? Yes, Time To First Token (TTFT) is slightly high when swallowing massive contexts. But with a solid 200 tokens/sec prefill speed, the wait is barely noticeable and highly usable. And this is running completely without Multi Token Prediction (MTP) active. How is this possible? It’s the magic of Google's new QAT (Quantization Aware Training) quants for Gemma 4. The model weight file (unsloth gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf) is only 13.2 GB, making it the ultimate local powerhouse. # The Test Setup: CPU: Intel Core i7 RAM: 16GB System RAM GPU: NVIDIA GeForce RTX 4060 Laptop GPU (8GB VRAM) # The Secret Sauce (The -cmoe Flag) To make this work properly on any 8GB card, you must use the -cmoe (CPU MoE) flag in llama.cpp. This flag isolates the heavy MoE expert weights directly to system memory (CPU/RAM) while letting your GPU focus strictly on the Attention layers and the KV Cache. It prevents VRAM spillage and holds the throughput rock solid. # The flags: -m "gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf" -cmoe -c 248000 -v Once running, just open the UI on localhost and toggle the new reasoning lightbulb icon in the text input box to watch the model perform multi step thinking. Are you still running smaller models, or are you ready to scale up your budget local setups? Let's discuss in the replies

Run Gemma 4 26B MoE on 8GB VRAM with 250k context at 20+ tokens/sec If you own any 8GB VRAM graphics card, stop what you are doing. Local AI just had its absolute "Holy Shit" moment for budget hardware. Yesterday, I benchmarked Unsloth Gemma 4 12B Q4_K_XL on an 8GB card. The community went wild but immediately demanded more: "Can we run a 25B+ model on budget GPUs?" Today, I’m delivering exactly that. I am running a massive 26B parameter Mixture of Experts (MoE) model locally on a standard 8GB VRAM setup with 250k full native context!. If you own an RTX 3060, 3070, 4060, or any budget GPU with 8GB of VRAM, the local AI paradigm has completely changed. The performance metrics are astonishing: - 20 tokens/sec flat decode throughput. - Stable, flat decode speed even with massive prompts. - I threw a 60k token prompt at it, and it still clocked in at 20 TPS without dropping a single frame. # What about prefill? Yes, Time To First Token (TTFT) is slightly high when swallowing massive contexts. But with a solid 200 tokens/sec prefill speed, the wait is barely noticeable and highly usable. And this is running completely without Multi Token Prediction (MTP) active. How is this possible? It’s the magic of Google's new QAT (Quantization Aware Training) quants for Gemma 4. The model weight file (unsloth gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf) is only 13.2 GB, making it the ultimate local powerhouse. # The Test Setup: CPU: Intel Core i7 RAM: 16GB System RAM GPU: NVIDIA GeForce RTX 4060 Laptop GPU (8GB VRAM) # The Secret Sauce (The -cmoe Flag) To make this work properly on any 8GB card, you must use the -cmoe (CPU MoE) flag in llama.cpp. This flag isolates the heavy MoE expert weights directly to system memory (CPU/RAM) while letting your GPU focus strictly on the Attention layers and the KV Cache. It prevents VRAM spillage and holds the throughput rock solid. # The flags: -m "gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf" -cmoe -c 248000 -v Once running, just open the UI on localhost and toggle the new reasoning lightbulb icon in the text input box to watch the model perform multi step thinking. Are you still running smaller models, or are you ready to scale up your budget local setups? Let's discuss in the replies

Alok

292,096 просмотров • 1 месяц назад

CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.

CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.

Loji

37,459 просмотров • 1 год назад

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Kondux

96,043 просмотров • 1 год назад

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

Blaze

38,242 просмотров • 2 месяцев назад

From a sketch to Netflix? We’re halfway there. My brother and I started ZenFrogs - an animated franchise 3 years ago. Now we have: 🐸 Sold-out 3,333 NFT-backed digital collectibles 🐸 $ZEN community-born culture coin peaked at $2.5M mc 🐸 18.6K organic followers on X 🐸 Fan art from supporters around the world 🐸 Building a Social-Fi platform to turn fans into co-creators 🐸 20 animators currently working on the pilot 🐸 Trademark ZenFrogs™ in EU & UK (US pending) 🐸 Supported by the Viru Film Fund 🐸 Built a successful international Web3 conference in the most unlikely location 🐸 Established a non-profit bringing opportunities to young people ❌ No shortcuts. No paid followers. No VCs. ✅ Just pure consistency, story and community. ZenFrogs is a next-gen dark, animated comedy sci-fi series in a $400billion animation industry. Think Rick and Morty, but with lots of frogs and powered by Web3. ✉️ If you're interested in supporting us - as an investor, strategic partner, or believer - send me a message. Let’s make something unforgettable. Stay Zen AF.

From a sketch to Netflix? We’re halfway there. My brother and I started ZenFrogs - an animated franchise 3 years ago. Now we have: 🐸 Sold-out 3,333 NFT-backed digital collectibles 🐸 $ZEN community-born culture coin peaked at $2.5M mc 🐸 18.6K organic followers on X 🐸 Fan art from supporters around the world 🐸 Building a Social-Fi platform to turn fans into co-creators 🐸 20 animators currently working on the pilot 🐸 Trademark ZenFrogs™ in EU & UK (US pending) 🐸 Supported by the Viru Film Fund 🐸 Built a successful international Web3 conference in the most unlikely location 🐸 Established a non-profit bringing opportunities to young people ❌ No shortcuts. No paid followers. No VCs. ✅ Just pure consistency, story and community. ZenFrogs is a next-gen dark, animated comedy sci-fi series in a $400billion animation industry. Think Rick and Morty, but with lots of frogs and powered by Web3. ✉️ If you're interested in supporting us - as an investor, strategic partner, or believer - send me a message. Let’s make something unforgettable. Stay Zen AF.

Aleeex

14,263 просмотров • 10 месяцев назад

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

max fu

69,270 просмотров • 7 дней назад

Pyth Price Feeds are blasting off 🚀 Blast has entered into orbit as a new Ethereum Layer 2 and the first of its kind to offer native yield for ETH and stablecoins. Blast is now live on mainnet. Learn more about Pyth’s deployment on Blast: ℹ️ About Blast Blast is the latest advancement in Ethereum Layer 2 solutions, delivering native yield for ETH and stablecoins. It accelerates and economizes transactions, with the backing of industry leaders like Paradigm, Standard Crypto, and eGirl Capital. 🔮 Pyth's Data-Powered Vision on Blast Over 15 apps have launched on the Blast and are harnessing Pyth’s low-latency, high-resolution price data: meathook—a gateway to 100+ crypto assets with high-leverage options. 100x—a high-speed perpetual DEX experience. Aark Digital—1000x perpetual DEX powered by LST/LRT. Blast Futures—a platform integrating perpetuals with native yield. Bloom—a leveraged trading DEX for rebasing assets. Curvance—a modular multi-chain money market with boosted yield. Deriblast—blends trading with gaming to create a unique experience. Easy X—a reimagined perpetual protocol for diverse asset exposure. Fragment—a new foundation for liquidity and lending protocols. HMX 🐉—a decentralized perpetual protocol with versatile collateral options. Juice Finance—an innovative approach to cross-margin DeFi. @Laser_on_Blast—a liquidity layer for on-chain banking on Blast. Orbit Protocol 🥮—a decentralized protocol for asset lending and borrowing. SynFutures—a decentralized derivatives trading protocol. YOLO GAMES—the go-to for high-stakes Degen Gaming. Zest 👾⚡️Genesis Version⚡️—a collateralized stablecoin with 100% capital efficiency. Pac Finance—a new pioneering DeFi hub on Blast. Seismic Finance—a new Blast native lending market. Thanks to the Pyth oracle, Blast is charting a new course for DeFi—one where accuracy and speed are not just nice-to-have features, but fundamentals that redefine users’ expectations and standards for on-chain finance.

Pyth Price Feeds are blasting off 🚀 Blast has entered into orbit as a new Ethereum Layer 2 and the first of its kind to offer native yield for ETH and stablecoins. Blast is now live on mainnet. Learn more about Pyth’s deployment on Blast: ℹ️ About Blast Blast is the latest advancement in Ethereum Layer 2 solutions, delivering native yield for ETH and stablecoins. It accelerates and economizes transactions, with the backing of industry leaders like Paradigm, Standard Crypto, and eGirl Capital. 🔮 Pyth's Data-Powered Vision on Blast Over 15 apps have launched on the Blast and are harnessing Pyth’s low-latency, high-resolution price data: meathook—a gateway to 100+ crypto assets with high-leverage options. 100x—a high-speed perpetual DEX experience. Aark Digital—1000x perpetual DEX powered by LST/LRT. Blast Futures—a platform integrating perpetuals with native yield. Bloom—a leveraged trading DEX for rebasing assets. Curvance—a modular multi-chain money market with boosted yield. Deriblast—blends trading with gaming to create a unique experience. Easy X—a reimagined perpetual protocol for diverse asset exposure. Fragment—a new foundation for liquidity and lending protocols. HMX 🐉—a decentralized perpetual protocol with versatile collateral options. Juice Finance—an innovative approach to cross-margin DeFi. @Laser_on_Blast—a liquidity layer for on-chain banking on Blast. Orbit Protocol 🥮—a decentralized protocol for asset lending and borrowing. SynFutures—a decentralized derivatives trading protocol. YOLO GAMES—the go-to for high-stakes Degen Gaming. Zest 👾⚡️Genesis Version⚡️—a collateralized stablecoin with 100% capital efficiency. Pac Finance—a new pioneering DeFi hub on Blast. Seismic Finance—a new Blast native lending market. Thanks to the Pyth oracle, Blast is charting a new course for DeFi—one where accuracy and speed are not just nice-to-have features, but fundamentals that redefine users’ expectations and standards for on-chain finance.

Pyth Network 🔮

202,443 просмотров • 2 лет назад

ALIENX 👽⛓️ Crypto: A New Frontier in Blockchain Technology ALIENX is a decentralized blockchain platform that aims to revolutionize the way we interact with digital assets. Powered by a network of AI nodes, ALIENX offers a secure, scalable, and efficient environment for various blockchain applications, including NFTs and gaming. Key Features of ALIENX Crypto: AI-Powered Nodes: ALIENX utilizes a network of AI nodes to enhance blockchain performance, security, and intelligence. These nodes continuously learn and adapt to optimize network operations. Staking: Users can stake their ALIENX tokens to earn rewards and contribute to the network's security. Staking also grants users voting rights in the ALIENX governance system. NFT Ecosystem: ALIENX is designed to support a thriving NFT ecosystem. Creators can easily mint and sell their NFTs on the platform, while collectors can discover and acquire unique digital assets. Gaming Integration: ALIENX is actively exploring partnerships with game developers to integrate blockchain technology into gaming experiences. This could enable players to own in-game assets, trade them, and participate in play-to-earn mechanics. ALIENX Token: The native token of the ALIENX ecosystem is AIX. AIX is used for various purposes, including: Governance: AIX holders can participate in governance decisions through voting on proposals. Staking: Staking AIX rewards users with additional AIX tokens. Fees: AIX is used to pay transaction fees on the ALIENX network. Why Choose ALIENX Crypto? ALIENX offers a number of advantages over other blockchain platforms, including: Enhanced Security: The AI-powered nodes provide a more secure environment for storing and transacting digital assets. Scalability: ALIENX is designed to handle a large number of transactions, making it suitable for high-demand applications. Efficiency: The AI nodes optimize network performance, resulting in faster transaction times and lower costs. Community-Driven: ALIENX is governed by its community, ensuring that the platform evolves to meet the needs of its users. Join the ALIENX Revolution: If you're looking for a blockchain platform with a bright future, ALIENX is worth considering. By leveraging AI and blockchain technology, ALIENX has the potential to become a leading player in the digital asset space. Follow us on Twitter for the latest updates and news: [ALIENX 👽⛓️] Here are some additional resources: ALIENX Website: ALIENX Funding #ALIENX #AIBlockchain #NFTRevolution #Crypto #Web3Innovation

ALIENX 👽⛓️ Crypto: A New Frontier in Blockchain Technology ALIENX is a decentralized blockchain platform that aims to revolutionize the way we interact with digital assets. Powered by a network of AI nodes, ALIENX offers a secure, scalable, and efficient environment for various blockchain applications, including NFTs and gaming. Key Features of ALIENX Crypto: AI-Powered Nodes: ALIENX utilizes a network of AI nodes to enhance blockchain performance, security, and intelligence. These nodes continuously learn and adapt to optimize network operations. Staking: Users can stake their ALIENX tokens to earn rewards and contribute to the network's security. Staking also grants users voting rights in the ALIENX governance system. NFT Ecosystem: ALIENX is designed to support a thriving NFT ecosystem. Creators can easily mint and sell their NFTs on the platform, while collectors can discover and acquire unique digital assets. Gaming Integration: ALIENX is actively exploring partnerships with game developers to integrate blockchain technology into gaming experiences. This could enable players to own in-game assets, trade them, and participate in play-to-earn mechanics. ALIENX Token: The native token of the ALIENX ecosystem is AIX. AIX is used for various purposes, including: Governance: AIX holders can participate in governance decisions through voting on proposals. Staking: Staking AIX rewards users with additional AIX tokens. Fees: AIX is used to pay transaction fees on the ALIENX network. Why Choose ALIENX Crypto? ALIENX offers a number of advantages over other blockchain platforms, including: Enhanced Security: The AI-powered nodes provide a more secure environment for storing and transacting digital assets. Scalability: ALIENX is designed to handle a large number of transactions, making it suitable for high-demand applications. Efficiency: The AI nodes optimize network performance, resulting in faster transaction times and lower costs. Community-Driven: ALIENX is governed by its community, ensuring that the platform evolves to meet the needs of its users. Join the ALIENX Revolution: If you're looking for a blockchain platform with a bright future, ALIENX is worth considering. By leveraging AI and blockchain technology, ALIENX has the potential to become a leading player in the digital asset space. Follow us on Twitter for the latest updates and news: [ALIENX 👽⛓️] Here are some additional resources: ALIENX Website: ALIENX Funding #ALIENX #AIBlockchain #NFTRevolution #Crypto #Web3Innovation

ボス-NFT ALL CHAIN GIVEAWAY🇯🇵

279,875 просмотров • 1 год назад

FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB AGENCY. The same animated website that used to cost between $6,000 and $35,000 can now be built in a single session for around $12 in AI credits. Claude Code handles the website. Higgsfield creates the visuals. Together, they can build a complete scroll-driven website from a simple prompt. Claude writes the layout, GSAP ScrollTrigger animations, Lenis smooth scrolling, responsive pages, and checks everything before you ship. Higgsfield generates the hero videos, cinematic transitions, ambient loops, thumbnails, and every visual asset you need. By the end of one session, you have a fully animated website with cinematic motion, smooth scrolling, optimized assets, responsive layouts, and polished visual effects like film grain, particles, vignette, glass cards, and color tints. Getting started only takes a few minutes. Add Higgsfield as an MCP server inside Claude Code, complete the OAuth login once, and Claude can generate and pull videos directly into your project without manually exporting anything. The prompts are simple. Give Claude your project brief and ask it to script the entire scroll experience. Tell it to generate a hero video and supporting clips for every section. Ask it to add the finishing touches like film grain, particles, glass cards, and scroll pacing. Then let it review the site, improve loading speed, fix mobile layouts, and rewrite anything that doesn’t work. This replaces work that usually looks like this: A $6,000-$35,000 web agency. An $800-$2,000 motion designer. A $2,000-$10,000 front-end developer. And weeks of back-and-forth before launch. Now it’s Fable 5, Higgsfield, a subscription, a few dollars in AI credits, and one session. The pipeline used to be the advantage. Now it’s just a prompt. Full breakdown in the article below.

FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB AGENCY. The same animated website that used to cost between $6,000 and $35,000 can now be built in a single session for around $12 in AI credits. Claude Code handles the website. Higgsfield creates the visuals. Together, they can build a complete scroll-driven website from a simple prompt. Claude writes the layout, GSAP ScrollTrigger animations, Lenis smooth scrolling, responsive pages, and checks everything before you ship. Higgsfield generates the hero videos, cinematic transitions, ambient loops, thumbnails, and every visual asset you need. By the end of one session, you have a fully animated website with cinematic motion, smooth scrolling, optimized assets, responsive layouts, and polished visual effects like film grain, particles, vignette, glass cards, and color tints. Getting started only takes a few minutes. Add Higgsfield as an MCP server inside Claude Code, complete the OAuth login once, and Claude can generate and pull videos directly into your project without manually exporting anything. The prompts are simple. Give Claude your project brief and ask it to script the entire scroll experience. Tell it to generate a hero video and supporting clips for every section. Ask it to add the finishing touches like film grain, particles, glass cards, and scroll pacing. Then let it review the site, improve loading speed, fix mobile layouts, and rewrite anything that doesn’t work. This replaces work that usually looks like this: A $6,000-$35,000 web agency. An $800-$2,000 motion designer. A $2,000-$10,000 front-end developer. And weeks of back-and-forth before launch. Now it’s Fable 5, Higgsfield, a subscription, a few dollars in AI credits, and one session. The pipeline used to be the advantage. Now it’s just a prompt. Full breakdown in the article below.

MIKE

138,059 просмотров • 11 дней назад