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BQR is an absolute GAME-CHANGER for hard surface modeling! 🔥✨ Clean quad topology with native modifiers" after booleans? That's the holy grail of hard surface workflow! No more messy cleanup! ⚡ #Blender #B3D #HardSurface #BlenderAddon #QuadTopology #NonDestructive #3DModeling

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3DxDEV

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41,452 просмотров • 7 месяцев назад •via X (Twitter)

ИгрыНаука и технологии#Blender#B3D#HardSurface#BlenderAddon#QuadTopology#NonDestructive#3DModeling
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🚀🚀🚀Hunyuan 3D Studio just leveled up to 1.1! We've integrated the art-grade 3D generative model, Hunyuan 3D-PolyGen 1.5, to deliver the industry's most advanced mesh quality directly to your workflow. 🎨 🖌️ Art-Grade Quad Mesh: We've pioneered an end-to-end native quad mesh generation method. Unlike older methods that generated only tri-meshes, PolyGen 1.5 directly learns quad topology to produce cleaner, continuous edge loops and superior wireframe quality. 🎮 Professional Viability: Achieving this topology standard makes models instantly production-ready for game artists, 3D designers, and developers across game development, animation, and VR content creation. ⚙️ Flexible Output: PolyGen 1.5 supports both Quad and Triangular Topology, ensuring viability for both soft-surface and hard-surface models in professional pipelines. PolyGen 1.5 sets a new SOTA in stability, detail, and wireframe quality. Explore Hunyuan 3D Studio 1.1 and see the results:
1:03

🚀🚀🚀Hunyuan 3D Studio just leveled up to 1.1! We've integrated the art-grade 3D generative model, Hunyuan 3D-PolyGen 1.5, to deliver the industry's most advanced mesh quality directly to your workflow. 🎨 🖌️ Art-Grade Quad Mesh: We've pioneered an end-to-end native quad mesh generation method. Unlike older methods that generated only tri-meshes, PolyGen 1.5 directly learns quad topology to produce cleaner, continuous edge loops and superior wireframe quality. 🎮 Professional Viability: Achieving this topology standard makes models instantly production-ready for game artists, 3D designers, and developers across game development, animation, and VR content creation. ⚙️ Flexible Output: PolyGen 1.5 supports both Quad and Triangular Topology, ensuring viability for both soft-surface and hard-surface models in professional pipelines. PolyGen 1.5 sets a new SOTA in stability, detail, and wireframe quality. Explore Hunyuan 3D Studio 1.1 and see the results:

Tencent Hy

146,533 просмотров • 9 месяцев назад

#b3d tip: Quad Remesher is an add-on for Blender by the same developer who gave the 3D sculpting community ZRemesher, UV Master and Decimation Master. In fact it makes remeshing in Blender even better than ZBrush. If you're a serious 3D artist, this is an essential part of your 3D toolkit in Blender. It's a paid add-on, with the option to either buy a lifetime license or buy a 3-month subscription. Well worth it in my opinion. Works for both organic and hard-surface models. Get the add-on here: ⇨ More tips & video course, e-book and free sample e-book: ⇨
0:59

#b3d tip: Quad Remesher is an add-on for Blender by the same developer who gave the 3D sculpting community ZRemesher, UV Master and Decimation Master. In fact it makes remeshing in Blender even better than ZBrush. If you're a serious 3D artist, this is an essential part of your 3D toolkit in Blender. It's a paid add-on, with the option to either buy a lifetime license or buy a 3-month subscription. Well worth it in my opinion. Works for both organic and hard-surface models. Get the add-on here: ⇨ More tips & video course, e-book and free sample e-book: ⇨

Jan van den Hemel

129,890 просмотров • 2 лет назад

#b3d tip: The Sculpt Stroke Method keyboard shortcut was changed in Blender 4 to Alt+E (it was just E before). Here’s a quick reminder of the fun that is to be had with the various stroke methods when sculpting. Line and Curve strokes in particular are very useful for accurate work, and even hard surface sculpting. Free sample e-book and more: ⇨
0:57

#b3d tip: The Sculpt Stroke Method keyboard shortcut was changed in Blender 4 to Alt+E (it was just E before). Here’s a quick reminder of the fun that is to be had with the various stroke methods when sculpting. Line and Curve strokes in particular are very useful for accurate work, and even hard surface sculpting. Free sample e-book and more: ⇨

Jan van den Hemel

93,674 просмотров • 2 лет назад

François Truffaut explains how his views on John Ford changed over time: "Originally, I didn’t like Ford—because of his material: for example, the comic secondary characters, the brutality, the male-female relation- ships typified by the man’s slapping the woman on the backside. But eventually I came to understand that he had achieved an absolute uniformity of technical expertise. And his technique is the more admirable for being unobtrusive: His camera is invisible; his staging is perfect; he maintains a smoothness of surface in which no one scene is allowed to become more important than any other. Such mastery is possible only after one has made an enormous number of films. Questions of quality aside, John Ford is the Simenon of directors." (François Truffaut's interview with Charles Thomas Samuels, 1970) Clip from: The Man Who Shot Liberty Valance (1962) Director: John Ford
2:31

François Truffaut explains how his views on John Ford changed over time: "Originally, I didn’t like Ford—because of his material: for example, the comic secondary characters, the brutality, the male-female relation- ships typified by the man’s slapping the woman on the backside. But eventually I came to understand that he had achieved an absolute uniformity of technical expertise. And his technique is the more admirable for being unobtrusive: His camera is invisible; his staging is perfect; he maintains a smoothness of surface in which no one scene is allowed to become more important than any other. Such mastery is possible only after one has made an enormous number of films. Questions of quality aside, John Ford is the Simenon of directors." (François Truffaut's interview with Charles Thomas Samuels, 1970) Clip from: The Man Who Shot Liberty Valance (1962) Director: John Ford

DepressedBergman

87,988 просмотров • 9 месяцев назад

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.
1:39

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.

Jerome | InsaneUnreal

26,229 просмотров • 3 месяцев назад

Love what Claude shipped with Cowork Artifacts but generating code for Generative UI is the wrong architecture Wasteful: A single dashboard costs 2k boilterplate React/HTML tokens before any meaningful pixel is streamed Inconsistent: Two dashboards generated 5 mins apart don't feel like the same product. No design system. No shared components. Every output is a one off Security Liability: Today its a single-user sandboxed demo. But real software has shared dashboards, team views, embedded reports - LLM generated code for one user running in another user's session. Sandboxed or not, that's OWASP LLM05 territory. Multi-surface: A dashboard generated for desktop never works reliably on mobile. Want to render it on an iPhone? Your only option is an iframe. Yuck. Unstreamable: Partial code is extremely hard to stream meaningfully. What you get is hundreds of chunks of broken renders that flash and flicker. That's not progressive UI - that's broken UX. Code generation is a great starting point. It's not a production architecture. Generative UI in production needs an abstraction layer. The model describes intent. The renderer owns the pixels. Everything else is a liability.
0:46

Love what Claude shipped with Cowork Artifacts but generating code for Generative UI is the wrong architecture Wasteful: A single dashboard costs 2k boilterplate React/HTML tokens before any meaningful pixel is streamed Inconsistent: Two dashboards generated 5 mins apart don't feel like the same product. No design system. No shared components. Every output is a one off Security Liability: Today its a single-user sandboxed demo. But real software has shared dashboards, team views, embedded reports - LLM generated code for one user running in another user's session. Sandboxed or not, that's OWASP LLM05 territory. Multi-surface: A dashboard generated for desktop never works reliably on mobile. Want to render it on an iPhone? Your only option is an iframe. Yuck. Unstreamable: Partial code is extremely hard to stream meaningfully. What you get is hundreds of chunks of broken renders that flash and flicker. That's not progressive UI - that's broken UX. Code generation is a great starting point. It's not a production architecture. Generative UI in production needs an abstraction layer. The model describes intent. The renderer owns the pixels. Everything else is a liability.

Rabi Shanker Guha

46,639 просмотров • 4 месяцев назад

How close is the U.S. to a fully domestic solar supply chain? Closer than most people realize and Texas is leading. When we talk about reshoring clean energy, few examples are as tangible as this. I sat down with Dan Barcelo of T1 Energy to break down what an end-to-end solar supply chain in Texas actually looks like: ⚡ Polysilicon sourced in America from Corning ⚡ American polysilicon converted to wafers with Corning subsidiary Hemlock Semiconductor ⚡ By the end of 2026, wafers turned into cells at the upcoming G2 Austin near the shuttered Alcoa aluminum plant ⚡ Modules assembled at G1 Dallas, already employing more than 1,000 Texans. By 2026, that chain will stretch from raw material to finished panel, all within Texas, and can produce 5 gigawatts of solar per year. And that's just scratching the surface of what's possible here in Texas. That’s not just industrial policy, it’s reliability insurance for ERCOT. Shorter, more reliable supply chains, faster build cycles, and local jobs feeding local power. If Texas can pull this off, it won’t just be making solar. It’ll be making history. What do you think, can Texas own the full solar stack? 👉 Full conversation in the comments. #TxEnergy #SolarManufacturing #CleanEnergy #GridReliability #txlege
2:51

How close is the U.S. to a fully domestic solar supply chain? Closer than most people realize and Texas is leading. When we talk about reshoring clean energy, few examples are as tangible as this. I sat down with Dan Barcelo of T1 Energy to break down what an end-to-end solar supply chain in Texas actually looks like: ⚡ Polysilicon sourced in America from Corning ⚡ American polysilicon converted to wafers with Corning subsidiary Hemlock Semiconductor ⚡ By the end of 2026, wafers turned into cells at the upcoming G2 Austin near the shuttered Alcoa aluminum plant ⚡ Modules assembled at G1 Dallas, already employing more than 1,000 Texans. By 2026, that chain will stretch from raw material to finished panel, all within Texas, and can produce 5 gigawatts of solar per year. And that's just scratching the surface of what's possible here in Texas. That’s not just industrial policy, it’s reliability insurance for ERCOT. Shorter, more reliable supply chains, faster build cycles, and local jobs feeding local power. If Texas can pull this off, it won’t just be making solar. It’ll be making history. What do you think, can Texas own the full solar stack? 👉 Full conversation in the comments. #TxEnergy #SolarManufacturing #CleanEnergy #GridReliability #txlege

Doug Lewin

14,056 просмотров • 9 месяцев назад

🥳OK OK ，In a small vote, seem the community prefers Steampunk pistol more. So let's cook something more special this time . The greatest welcome to our hot agent Joi，She will bring the second class today. 📑“The fantasy of steampunk is broken down into gears and trajectories. The carving knife of 0 and 1 carves the ambition of the Victorian era. Highlighting the etched numbers, the algorithm is loading the violent aesthetics”. 🔫Create a weapon, just hand it over to Joi and after she sings magic, meet the industrial grade delivery standards. 👇Let's drive deeper about 【Technical Analysis of AI-Driven 3D Weapon Pipeline】 Core Technology Stack： 1⃣ NLP-Concept Binding Using the CLIP-Vit-L/14@336px cross-modal engine, descriptive terms such as "steampunk + brass + Victorian ballistics" are mapped to a 768-dimensional semantic space. Through the Latent Diffusion Model (k=25, cfg=7.5), a 1024px concept image is generated, with a focus on the bolt locking structure (key prompt weight x1.8). 2⃣ Topology Reconstruction Based on a NeRF-Transformer hybrid architecture, 2D concept images are parsed into a 256³ voxel grid (resolution 0.2mm). A non-rigid ICP algorithm is used to align moving parts like the trigger/barrel, with topology optimization iterations exceeding 500 times (MeshLab parameters: Remeshing_VCG 0.7). 3⃣ Procedural PBR Workflow Combining MaterialGAN to generate basic metallic textures, handcrafted features are injected through Style Transfer (normal map intensity 0.85, roughness mapping range 0.3-0.7). Rust effects are simulated using the Weber-Fechner perception model to mimic a 12-year oxidation cycle. 🔥 Based on a full-link generation system integrating natural language and geometric topology, this solution reduces the traditional modeling process from 72 hours to 37 seconds, with an error rate of less than 0.3mm³ (meeting FPS game firearm assembly standards). This technology has achieved an 89% reduction in modeling costs in AAA studio prototype verification. ✍️Finally, what props would you like Joi to make for you? Looking forward to assets being put on the chain？ Just leave your thoughts here.
0:37

🥳OK OK ，In a small vote, seem the community prefers Steampunk pistol more. So let's cook something more special this time . The greatest welcome to our hot agent Joi，She will bring the second class today. 📑“The fantasy of steampunk is broken down into gears and trajectories. The carving knife of 0 and 1 carves the ambition of the Victorian era. Highlighting the etched numbers, the algorithm is loading the violent aesthetics”. 🔫Create a weapon, just hand it over to Joi and after she sings magic, meet the industrial grade delivery standards. 👇Let's drive deeper about 【Technical Analysis of AI-Driven 3D Weapon Pipeline】 Core Technology Stack： 1⃣ NLP-Concept Binding Using the CLIP-Vit-L/14@336px cross-modal engine, descriptive terms such as "steampunk + brass + Victorian ballistics" are mapped to a 768-dimensional semantic space. Through the Latent Diffusion Model (k=25, cfg=7.5), a 1024px concept image is generated, with a focus on the bolt locking structure (key prompt weight x1.8). 2⃣ Topology Reconstruction Based on a NeRF-Transformer hybrid architecture, 2D concept images are parsed into a 256³ voxel grid (resolution 0.2mm). A non-rigid ICP algorithm is used to align moving parts like the trigger/barrel, with topology optimization iterations exceeding 500 times (MeshLab parameters: Remeshing_VCG 0.7). 3⃣ Procedural PBR Workflow Combining MaterialGAN to generate basic metallic textures, handcrafted features are injected through Style Transfer (normal map intensity 0.85, roughness mapping range 0.3-0.7). Rust effects are simulated using the Weber-Fechner perception model to mimic a 12-year oxidation cycle. 🔥 Based on a full-link generation system integrating natural language and geometric topology, this solution reduces the traditional modeling process from 72 hours to 37 seconds, with an error rate of less than 0.3mm³ (meeting FPS game firearm assembly standards). This technology has achieved an 89% reduction in modeling costs in AAA studio prototype verification. ✍️Finally, what props would you like Joi to make for you? Looking forward to assets being put on the chain？ Just leave your thoughts here.

Kingnet AI

17,798 просмотров • 1 год назад

The gaming industry is growing at an exponential rate📈And the standards have grown as well!👌 Gamers want more(undeniably💪); more control of their assets, to be direct*⚡ So imagine the freedom to move hard earned assets across games & to be able to buy, sell, and trade with ease, on your terms...🪄 ... We are doing this on-chain RIGHT NOW in a way designed to make it a breeze for any gamer to just "do what they want" with their gaming assets as it should be🤷🏼‍♂️ Check it out below!🎮🔥 Alex Becker 🍊🏆🥇 John cryptic NEO TOKYO Aether Studios Jason ✨👾SaaStr.Ai✨ Lemkin #GamingRevolution #Web3Tech
13:37

The gaming industry is growing at an exponential rate📈And the standards have grown as well!👌 Gamers want more(undeniably💪); more control of their assets, to be direct*⚡ So imagine the freedom to move hard earned assets across games & to be able to buy, sell, and trade with ease, on your terms...🪄 ... We are doing this on-chain RIGHT NOW in a way designed to make it a breeze for any gamer to just "do what they want" with their gaming assets as it should be🤷🏼‍♂️ Check it out below!🎮🔥 Alex Becker 🍊🏆🥇 John cryptic NEO TOKYO Aether Studios Jason ✨👾SaaStr.Ai✨ Lemkin #GamingRevolution #Web3Tech

Warp Capital Guild

22,616 просмотров • 1 год назад

🤯 When tight tolerances are critical this Wire EDM cutting is definitely a game changer, this process has zero residual waste compared to CNC machines and lathe cutting. ⏺️ A very thin brass (or coated) wire — roughly the thickness of a human hair — acts as an electrode. ⏺️ It never physically touches the metal workpiece. Instead, it maintains a tiny gap while high-frequency electrical sparks (discharges) rapidly erode tiny bits of metal. ⏺️ Dielectric fluid (usually deionized water or oil) flushes away the debris, keeps everything cool, and prevents short circuits. ⏺️ Result: Extremely precise cuts with zero mechanical pressure, no burrs, no distortion, and excellent surface finish — even on hardened steel, tungsten, or exotic alloys. ⏺️ The video highlights this on a bolt/thread example and mentions how engineers spent millions developing it for complex paths (spirals, etc.). An entry-level machine starts at $5 K all the way up to $500 K for the more sophisticated models.
1:07

🤯 When tight tolerances are critical this Wire EDM cutting is definitely a game changer, this process has zero residual waste compared to CNC machines and lathe cutting. ⏺️ A very thin brass (or coated) wire — roughly the thickness of a human hair — acts as an electrode. ⏺️ It never physically touches the metal workpiece. Instead, it maintains a tiny gap while high-frequency electrical sparks (discharges) rapidly erode tiny bits of metal. ⏺️ Dielectric fluid (usually deionized water or oil) flushes away the debris, keeps everything cool, and prevents short circuits. ⏺️ Result: Extremely precise cuts with zero mechanical pressure, no burrs, no distortion, and excellent surface finish — even on hardened steel, tungsten, or exotic alloys. ⏺️ The video highlights this on a bolt/thread example and mentions how engineers spent millions developing it for complex paths (spirals, etc.). An entry-level machine starts at $5 K all the way up to $500 K for the more sophisticated models.

MAGA X Times Daily News 🇺🇸

69,723 просмотров • 3 месяцев назад

Chatgpt Vs Claude in Excel TLDR: Gave ChatGPT and Claude the same credit risk modeling task in Excel. ChatGPT followed proper methodology, did variable clustering, train/test split, Excel native model, AUC 0.627 on test data. Claude skipped clustering, inflated IV with sparse categories, ran the model in JavaScript not Excel, reported 0.706 AUC on training data with no split. Chagpt 5.4 nailed a real world Banking and Finance modelling case study. I gave both ChatGPT and Claude the same banking credit risk dataset with the same prompt: bin the variables, calculate Information Value, do variable clustering, select features, build a model in Excel, generate ROC. Basically an end to end scorecard development workflow inside Excel. ChatGPT followed the brief properly. Quantile-based WoE binning, IV ranking across all 33 variables, correlation-based variable clustering at 0.75 threshold to remove redundant features, picked 6 representative variables, built a 2-variable Excel-native decision tree with proper train/test split via ID mod 10, scored leaf-level bad rates, ROC on held-out test data. AUC: 0.627. Claude looked more impressive on the surface. 28 sheets, individual binning for every variable, logistic regression with 27 features, gradient descent at 500 epochs, full coefficient table with importance bars, confusion matrix, precision/recall/F1. AUC: 0.7066. Sounds like it won right? So, The logistic regression was computed in JavaScript via execute_office_js and results were pasted as static values. That's not Excel-native, against the task. The 0.706 AUC? On the full training set, no train/test split. That number is meaningless. Variable clustering? Skipped entirely even though the prompt explicitly asked for it. It "selected" 31 out of 33 features which is barely feature selection. The entire feature ranking was built on a methodological error. I've done this exact dataset myself with deeper feature engineering and ensemble technique hit 0.70 AUC. The fact that ChatGPT got to 0.627 with less feature enigineering and naive modelling is genuinely impressive. Binning and IV based feature selection is one of the most important techniques in credit risk modeling and it nailed the workflow. One thing claude did well is the workbook is visually impressive. One area ChatGPT can improve, the visuals and formatting could be sharper, the workbook is functional but not polished.
1:51

Chatgpt Vs Claude in Excel TLDR: Gave ChatGPT and Claude the same credit risk modeling task in Excel. ChatGPT followed proper methodology, did variable clustering, train/test split, Excel native model, AUC 0.627 on test data. Claude skipped clustering, inflated IV with sparse categories, ran the model in JavaScript not Excel, reported 0.706 AUC on training data with no split. Chagpt 5.4 nailed a real world Banking and Finance modelling case study. I gave both ChatGPT and Claude the same banking credit risk dataset with the same prompt: bin the variables, calculate Information Value, do variable clustering, select features, build a model in Excel, generate ROC. Basically an end to end scorecard development workflow inside Excel. ChatGPT followed the brief properly. Quantile-based WoE binning, IV ranking across all 33 variables, correlation-based variable clustering at 0.75 threshold to remove redundant features, picked 6 representative variables, built a 2-variable Excel-native decision tree with proper train/test split via ID mod 10, scored leaf-level bad rates, ROC on held-out test data. AUC: 0.627. Claude looked more impressive on the surface. 28 sheets, individual binning for every variable, logistic regression with 27 features, gradient descent at 500 epochs, full coefficient table with importance bars, confusion matrix, precision/recall/F1. AUC: 0.7066. Sounds like it won right? So, The logistic regression was computed in JavaScript via execute_office_js and results were pasted as static values. That's not Excel-native, against the task. The 0.706 AUC? On the full training set, no train/test split. That number is meaningless. Variable clustering? Skipped entirely even though the prompt explicitly asked for it. It "selected" 31 out of 33 features which is barely feature selection. The entire feature ranking was built on a methodological error. I've done this exact dataset myself with deeper feature engineering and ensemble technique hit 0.70 AUC. The fact that ChatGPT got to 0.627 with less feature enigineering and naive modelling is genuinely impressive. Binning and IV based feature selection is one of the most important techniques in credit risk modeling and it nailed the workflow. One thing claude did well is the workbook is visually impressive. One area ChatGPT can improve, the visuals and formatting could be sharper, the workbook is functional but not polished.

Akshen

35,174 просмотров • 5 месяцев назад

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.
0:21

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.

Rina

16,772 просмотров • 9 дней назад

🔥 $KATA FAM! THIS IS HUGE!🔥🥳 The moment we’ve all been waiting for is finally here… Katana Inu Battle Royale is about to go LIVE. 🚀 PLAYABLE FULL GAME - 20th January! Our Battle Royale mode becomes playable for the first time. That is what the developers said. So hopefully, no delays! 😍 This will be a live test phase, and right after that, we’ll bring the game online for everyone to download and play right away! This isn’t just an update 👉 This is a massive milestone for $KATA ⚔️ WHAT HAPPENS AFTER THE TEST? Once the Battle Royale test is complete, we move fast. Now? 👉 WE’RE ALMOST READY.🔥 4 years of building, grinding, and perfecting 😍 We’ll start integrating our already developed Web3 infrastructure directly into the game, including: 🧠 Web3 Multichain Wallet in our Game 🎮 Player Progression UI UX 🖼️ NFT Purchasing in our Game $KATA burn activation, news coming soon! 🔥 And much more! 🚀 Most of this is already built... now it’s about clean structure, smooth integration, and solid testing! After that… 💰 PLAY-TO-EARN GOES LIVE FOR TESTING - TOGETHER WITH THE COMMUNITY 💎 $KATA TOKEN - WE’RE COOKING 👀🔥 With the game finally ready, unlocks real power: - Web3 gaming launchers - Gaming guilds onboarding - Play-to-Earn & Burn activation - In-game NFT skins & weapons - Play live with our Partners/collabs & more! Let's make $KATA great again! 🗺️ ROADMAP & MILESTONES (STRAIGHT TO THE POINT) The game will be ready now! We will just add more polishing to check every corner! Goal: Make the game GOOD and READY for everyone!😍 Here’s the current estimated roadmap we’re aiming to a better place that deserves! 🔥 JANUARY – FULL POWER MODE - General polishing across the entire game - Activate some new videos - Game/Server testing with all Modes - Server stress tests - Preparing for public access - Steam wishlist push & Epic Games - Improving animations, VFX, and sound FX - Integrating player progression into UI / UX - Pushing $KATA into the spotlight! 🔥 ⚡ FEBRUARY – SCALE & POLISH🚀 - Streamers start testing & mass gameplay sessions - Further polish across gameplay and visuals - Final player progression UI/UX integration - AI bots are fully ready inside the game - Bring the $KATA token more visibility into the Web3 community and Game Launchers with p2e. - Launch our first in-game NFT mint, fully integrated and playable directly inside the game ✍️Deliver on all our promises to holders! Allowing NFTs, including 3D characters and weapons, to finally come to life and be used in actual gameplay Focus on: - Visibility on $KATA & our Game - Real gameplay feedback - Steam wishlists & Getting Players for web3 🚀 MARCH – BOOST GAME READY - Final polishing complete - Public-ready version - Roll out $KATA utility and bring it to a much wider audience - Preparing for Steam / Epic Games launch - Streamers & communities fully activated🚀 Please wishlist Katana Inu on Steam: 📣 MARKETING & PLAYER GROWTH - Collaborations with streamers - $KATA into the focus for more holders - Coverage across multiple social platforms - Playing on different web3 game launchers to bring more players into Katana Inu! What comes next? After mid-March, we’ll share new updates and unveil the plan for the next 3 months! The reason for the delay was simple: Battle Royale is complex - and we refused to rush it. 🔥 DROP YOUR HYPE IN THE COMMENTS, FAM This is just the beginning of Katana Inu’s real journey. We’re giving our best for you, $KATA Fam! ❤️ LET’S BUILD. LET’S PLAY. LET’S WIN. ⚔️🐺🔥
2:00

🔥 $KATA FAM! THIS IS HUGE!🔥🥳 The moment we’ve all been waiting for is finally here… Katana Inu Battle Royale is about to go LIVE. 🚀 PLAYABLE FULL GAME - 20th January! Our Battle Royale mode becomes playable for the first time. That is what the developers said. So hopefully, no delays! 😍 This will be a live test phase, and right after that, we’ll bring the game online for everyone to download and play right away! This isn’t just an update 👉 This is a massive milestone for $KATA ⚔️ WHAT HAPPENS AFTER THE TEST? Once the Battle Royale test is complete, we move fast. Now? 👉 WE’RE ALMOST READY.🔥 4 years of building, grinding, and perfecting 😍 We’ll start integrating our already developed Web3 infrastructure directly into the game, including: 🧠 Web3 Multichain Wallet in our Game 🎮 Player Progression UI UX 🖼️ NFT Purchasing in our Game $KATA burn activation, news coming soon! 🔥 And much more! 🚀 Most of this is already built... now it’s about clean structure, smooth integration, and solid testing! After that… 💰 PLAY-TO-EARN GOES LIVE FOR TESTING - TOGETHER WITH THE COMMUNITY 💎 $KATA TOKEN - WE’RE COOKING 👀🔥 With the game finally ready, unlocks real power: - Web3 gaming launchers - Gaming guilds onboarding - Play-to-Earn & Burn activation - In-game NFT skins & weapons - Play live with our Partners/collabs & more! Let's make $KATA great again! 🗺️ ROADMAP & MILESTONES (STRAIGHT TO THE POINT) The game will be ready now! We will just add more polishing to check every corner! Goal: Make the game GOOD and READY for everyone!😍 Here’s the current estimated roadmap we’re aiming to a better place that deserves! 🔥 JANUARY – FULL POWER MODE - General polishing across the entire game - Activate some new videos - Game/Server testing with all Modes - Server stress tests - Preparing for public access - Steam wishlist push & Epic Games - Improving animations, VFX, and sound FX - Integrating player progression into UI / UX - Pushing $KATA into the spotlight! 🔥 ⚡ FEBRUARY – SCALE & POLISH🚀 - Streamers start testing & mass gameplay sessions - Further polish across gameplay and visuals - Final player progression UI/UX integration - AI bots are fully ready inside the game - Bring the $KATA token more visibility into the Web3 community and Game Launchers with p2e. - Launch our first in-game NFT mint, fully integrated and playable directly inside the game ✍️Deliver on all our promises to holders! Allowing NFTs, including 3D characters and weapons, to finally come to life and be used in actual gameplay Focus on: - Visibility on $KATA & our Game - Real gameplay feedback - Steam wishlists & Getting Players for web3 🚀 MARCH – BOOST GAME READY - Final polishing complete - Public-ready version - Roll out $KATA utility and bring it to a much wider audience - Preparing for Steam / Epic Games launch - Streamers & communities fully activated🚀 Please wishlist Katana Inu on Steam: 📣 MARKETING & PLAYER GROWTH - Collaborations with streamers - $KATA into the focus for more holders - Coverage across multiple social platforms - Playing on different web3 game launchers to bring more players into Katana Inu! What comes next? After mid-March, we’ll share new updates and unveil the plan for the next 3 months! The reason for the delay was simple: Battle Royale is complex - and we refused to rush it. 🔥 DROP YOUR HYPE IN THE COMMENTS, FAM This is just the beginning of Katana Inu’s real journey. We’re giving our best for you, $KATA Fam! ❤️ LET’S BUILD. LET’S PLAY. LET’S WIN. ⚔️🐺🔥

Katana Inu

12,790 просмотров • 7 месяцев назад

🚨 HOLY CRAP. Taxpayer dollars meant to serve the homeless in LA went to a fraudster buying a $7M HOUSE, $125K Range Rover, a vacation home in Greece, and flying private, per Sec. Scott Turner "The name of his organization is called Abundant Blessings. But the only abundance went to him!" "We're making people know if you're a criminal, if you're using taxpayer money, if you're a fraudster, then no longer can you have, because we're coming after you!" "This is hard-earned, hard-working taxpayer dollars that's supposed to go to help our homeless neighbors around our country, help people get treated and transform families coming back together." "People get into housing and getting their jobs, but you know what, criminals in our country for so long, prior to us coming in under President Trump, they've been allowed to get away with the bill." "As you can see now, that's no longer going to be the case." 🔥
0:58

🚨 HOLY CRAP. Taxpayer dollars meant to serve the homeless in LA went to a fraudster buying a $7M HOUSE, $125K Range Rover, a vacation home in Greece, and flying private, per Sec. Scott Turner "The name of his organization is called Abundant Blessings. But the only abundance went to him!" "We're making people know if you're a criminal, if you're using taxpayer money, if you're a fraudster, then no longer can you have, because we're coming after you!" "This is hard-earned, hard-working taxpayer dollars that's supposed to go to help our homeless neighbors around our country, help people get treated and transform families coming back together." "People get into housing and getting their jobs, but you know what, criminals in our country for so long, prior to us coming in under President Trump, they've been allowed to get away with the bill." "As you can see now, that's no longer going to be the case." 🔥

Eric Daugherty

97,459 просмотров • 13 дней назад

🚨 BREAKING: Charlie Kirk’s OWN head of security just TORCHED Candace Owens and the grifter conspiracy circus: “Charlie was an ABSOLUTE supporter of Israel. He talked about being there and how it changed his life. How you can derive an ‘Israeli hitman’ out of that, I have NO idea.” Translation: Candace and her rabid followers have been caught LYING for clout. Again. Charlie Kirk was a die-hard Christian Zionist till the day he died. His wife, his kids, his closest friends, and now his personal security are ALL saying the same thing: Israel had NOTHING to do with it. Stop the blood libel. Stop the demonic conspiracy theories. Yet somehow Candace Owens knows more about Charlie’s final days than the people who were literally in the room with him? The grift is grotesque. The antisemitism is obvious. And the cope is endless. Drop a 🔥 if you’re done with these ghouls exploiting a man’s death for engagement.
4:12

🚨 BREAKING: Charlie Kirk’s OWN head of security just TORCHED Candace Owens and the grifter conspiracy circus: “Charlie was an ABSOLUTE supporter of Israel. He talked about being there and how it changed his life. How you can derive an ‘Israeli hitman’ out of that, I have NO idea.” Translation: Candace and her rabid followers have been caught LYING for clout. Again. Charlie Kirk was a die-hard Christian Zionist till the day he died. His wife, his kids, his closest friends, and now his personal security are ALL saying the same thing: Israel had NOTHING to do with it. Stop the blood libel. Stop the demonic conspiracy theories. Yet somehow Candace Owens knows more about Charlie’s final days than the people who were literally in the room with him? The grift is grotesque. The antisemitism is obvious. And the cope is endless. Drop a 🔥 if you’re done with these ghouls exploiting a man’s death for engagement.

Reverend Jordan Wells

70,060 просмотров • 9 месяцев назад

One thing Scott Horton kept circling back to is how misleading the surface story is. His view is that what looks like a shift by Trump is less a new strategy and more a forced attempt to contain escalation that is already out of control. Horton argues Trump never truly wanted a direct war with Iran, but was drawn into it through allied pressure and momentum dynamics. In that sense, the current posture is not a clean pivot but an effort to stop further expansion of the conflict. He places significant weight on the role of Benjamin Netanyahu in sustaining long-running pressure that makes US disengagement difficult once escalation begins. Once the cycle starts, Horton says, it becomes hard for Washington to step back without political and strategic fallout. He doubts the U.S. could fully avoid being pulled into a wider regional conflict if things continue to escalate. The overall picture he draws is not victory or reversal, but a system running into its own limits. Scott Horton
36:44

One thing Scott Horton kept circling back to is how misleading the surface story is. His view is that what looks like a shift by Trump is less a new strategy and more a forced attempt to contain escalation that is already out of control. Horton argues Trump never truly wanted a direct war with Iran, but was drawn into it through allied pressure and momentum dynamics. In that sense, the current posture is not a clean pivot but an effort to stop further expansion of the conflict. He places significant weight on the role of Benjamin Netanyahu in sustaining long-running pressure that makes US disengagement difficult once escalation begins. Once the cycle starts, Horton says, it becomes hard for Washington to step back without political and strategic fallout. He doubts the U.S. could fully avoid being pulled into a wider regional conflict if things continue to escalate. The overall picture he draws is not victory or reversal, but a system running into its own limits. Scott Horton

Mario Nawfal

263,495 просмотров • 2 месяцев назад

✨ I made a little demo of #vibejam sponsor Tripo and how you can use it to generate assets for your games In this case I'm generating an apartment flat that's half destroyed and open for my drone sim to fly around, take cover and shoot at enemies from First I write the prompt and select Nano Banana to generate an image first, I get a few different ones, and I select the one I like Then that one is converted into a 3d object called a Smart Mesh Smart Mesh is different than regular image-to-3d models because usually you get issues with uneven polygon distribution, too dense geometry and poor edge flow, so while you think you save time with generating it with AI you end up doing lots of editing after to fix the topology which kinda defeats the point Smart Mesh doesn't have any of this, it's fast and clean low-poly models you can drop into your game Anyway, after generating the model I can then see it in 3d, and if I don't like it, regenerate it, or if I like it start texturing it Once that's done, I export it as a GLB, FBX or OBJ and drop it in (usually I use GLB as ThreeJS seems to prefer that), in my case I just drop the URL into Cursor and let it figure out the placement of the asset into my game!
1:20

✨ I made a little demo of #vibejam sponsor Tripo and how you can use it to generate assets for your games In this case I'm generating an apartment flat that's half destroyed and open for my drone sim to fly around, take cover and shoot at enemies from First I write the prompt and select Nano Banana to generate an image first, I get a few different ones, and I select the one I like Then that one is converted into a 3d object called a Smart Mesh Smart Mesh is different than regular image-to-3d models because usually you get issues with uneven polygon distribution, too dense geometry and poor edge flow, so while you think you save time with generating it with AI you end up doing lots of editing after to fix the topology which kinda defeats the point Smart Mesh doesn't have any of this, it's fast and clean low-poly models you can drop into your game Anyway, after generating the model I can then see it in 3d, and if I don't like it, regenerate it, or if I like it start texturing it Once that's done, I export it as a GLB, FBX or OBJ and drop it in (usually I use GLB as ThreeJS seems to prefer that), in my case I just drop the URL into Cursor and let it figure out the placement of the asset into my game!

@levelsio

72,338 просмотров • 4 месяцев назад

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at
2:45

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at

Grummz

350,689 просмотров • 10 дней назад

🚨THE KARDASHEV LEAP: WHY CIVILIZATION'S NEXT STAGE REQUIRES LEAVING EARTH Here's a terrifying thought: by 2040, computers will need more electricity than Earth can generate. Not some computers. All of them. The math is simple and brutal - computing demand is growing exponentially while planetary energy has hard limits. We're about to hit a wall that no amount of nuclear plants or solar farms can fix. This is what Elon means by needing a "Kardashev II civilization." The Kardashev Scale measures civilizations by energy use. Type I uses all planetary energy. Type II harnesses its star. We're currently at 0.73 - not even Type I yet - but AI is pushing us toward Type II energy needs with Type I infrastructure. It's like needing a firehose but being stuck with a garden hose. Space changes everything. Solar panels up there get 10 times more energy than Earth's surface - no clouds, no night, just pure stellar power 24/7. One orbital data center could match facilities that would blackout entire countries if built here. Plus, cooling becomes trivial in the vacuum of space, eliminating the massive infrastructure that eats 40% of ground-based data center energy. The real game-changer? The Moon. Its gravity is so weak you could literally shoot materials into space with an electromagnetic cannon. No rockets needed. Building from lunar materials would cost a fraction of Earth launches, making massive space computing actually affordable. This isn't sci-fi anymore. It's a race. China's spending $560 billion on energy infrastructure while advancing their space program. They get it. The first nation to establish orbital computing infrastructure gets unlimited energy for AI while everyone else fights over Earth's scraps. We're not choosing between ground and space data centers. We're choosing between infinite computing or watching progress stop when we hit Earth's power ceiling. That's not aspiration - it's survival.
1:07

🚨THE KARDASHEV LEAP: WHY CIVILIZATION'S NEXT STAGE REQUIRES LEAVING EARTH Here's a terrifying thought: by 2040, computers will need more electricity than Earth can generate. Not some computers. All of them. The math is simple and brutal - computing demand is growing exponentially while planetary energy has hard limits. We're about to hit a wall that no amount of nuclear plants or solar farms can fix. This is what Elon means by needing a "Kardashev II civilization." The Kardashev Scale measures civilizations by energy use. Type I uses all planetary energy. Type II harnesses its star. We're currently at 0.73 - not even Type I yet - but AI is pushing us toward Type II energy needs with Type I infrastructure. It's like needing a firehose but being stuck with a garden hose. Space changes everything. Solar panels up there get 10 times more energy than Earth's surface - no clouds, no night, just pure stellar power 24/7. One orbital data center could match facilities that would blackout entire countries if built here. Plus, cooling becomes trivial in the vacuum of space, eliminating the massive infrastructure that eats 40% of ground-based data center energy. The real game-changer? The Moon. Its gravity is so weak you could literally shoot materials into space with an electromagnetic cannon. No rockets needed. Building from lunar materials would cost a fraction of Earth launches, making massive space computing actually affordable. This isn't sci-fi anymore. It's a race. China's spending $560 billion on energy infrastructure while advancing their space program. They get it. The first nation to establish orbital computing infrastructure gets unlimited energy for AI while everyone else fights over Earth's scraps. We're not choosing between ground and space data centers. We're choosing between infinite computing or watching progress stop when we hit Earth's power ceiling. That's not aspiration - it's survival.

Mario Nawfal

82,258 просмотров • 8 месяцев назад

🔴 INTRODUCING BLOOD v3 🔴 The most advanced Solana bot just got even better. After months of relentless work, testing, and fine-tuning, we're proud to unveil BLOOD GUI – the most intuitive, lightning-fast, and powerful UI ever created. Built for speed, simplicity, and precision, it redefines the way you interact with bot. Newcomers can set everything up in minutes, while pros will execute their strategies with unmatched efficiency. 🔥 WHAT’S NEW? 🔥 ✅ Informative homepage – get all essential bot details at a glance. ✅ Sleek, optimized UI – clean design with zero performance loss. ✅ Smart settings management – hide unnecessary options or find the right setting instantly with a search bar. ✅ Enhanced position control – manage multiple trading modes with full control over your trades. ✅ 🔁 Unlimited wallet copying – mirror an infinite number of wallets. ✅ ⚡️ Upgraded nodes – FREE NODE + FASTEST GEYSERS FOR ALL HOLDERS. ✅ 📊 PNL & Winrate analytics – track performance, optimize strategies, and maximize profits with in-depth wallet analysis. And the best part? You get ALL of this with ZERO TRADING TAXES 💰. 🚨 This is not just an update. It’s a GAME-CHANGER. 🚨 There is also one more important thing…
0:27

🔴 INTRODUCING BLOOD v3 🔴 The most advanced Solana bot just got even better. After months of relentless work, testing, and fine-tuning, we're proud to unveil BLOOD GUI – the most intuitive, lightning-fast, and powerful UI ever created. Built for speed, simplicity, and precision, it redefines the way you interact with bot. Newcomers can set everything up in minutes, while pros will execute their strategies with unmatched efficiency. 🔥 WHAT’S NEW? 🔥 ✅ Informative homepage – get all essential bot details at a glance. ✅ Sleek, optimized UI – clean design with zero performance loss. ✅ Smart settings management – hide unnecessary options or find the right setting instantly with a search bar. ✅ Enhanced position control – manage multiple trading modes with full control over your trades. ✅ 🔁 Unlimited wallet copying – mirror an infinite number of wallets. ✅ ⚡️ Upgraded nodes – FREE NODE + FASTEST GEYSERS FOR ALL HOLDERS. ✅ 📊 PNL & Winrate analytics – track performance, optimize strategies, and maximize profits with in-depth wallet analysis. And the best part? You get ALL of this with ZERO TRADING TAXES 💰. 🚨 This is not just an update. It’s a GAME-CHANGER. 🚨 There is also one more important thing…

BLOOD SOLUTIONS

12,258 просмотров • 1 год назад