Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, 404 explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and use directly in games.... show more

Openτensor Foundaτion

171,059 subscribers

14,279 görüntüleme • 3 gün önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

"I hot-swapped from Claw to Hermes. No problem whatsoever.” On the latest Novelty Search, Ditto explains how Ditto gives AI agents a shared memory layer, letting users move between agents without losing the knowledge and context they have built up. SN118 turns that product problem into a live competition: miners improve how agents store and retrieve memory, with every submission tested against a newly generated synthetic user. Hosted by const + Mark Jeffrey Full episode in the first comment

"I hot-swapped from Claw to Hermes. No problem whatsoever.” On the latest Novelty Search, Ditto explains how Ditto gives AI agents a shared memory layer, letting users move between agents without losing the knowledge and context they have built up. SN118 turns that product problem into a live competition: miners improve how agents store and retrieve memory, with every submission tested against a newly generated synthetic user. Hosted by const + Mark Jeffrey Full episode in the first comment

Openτensor Foundaτion

164,107 görüntüleme • 1 ay önce

This is your reminder to play The Dream, 404’s Chroma Award-winning game built using SN17-generated assets. At 404, we aim to help kickstart the next revolution in gaming around AI-native games. That starts with democratising 3D content creation through Bittensor, making it easier for creators to build virtual worlds, games, and AR/VR/XR experiences without needing massive production teams. The long-term vision is to let creators describe the game or world they want to build, then generate the assets, sound, voice, and environment around it. The Dream is an amazing example of that vision. It is a fully playable 3D open-world experience created by a two-person team in just 30 days, using over 12,000 assets generated with 404. The goal is not to replace enterprise game development. It is to create a new layer where individuals and small teams can build and explore high-fidelity game worlds without needing a massive AAA-style pipeline. Sometimes, you need to see it to believe it. Play The Dream yourself at:

This is your reminder to play The Dream, 404’s Chroma Award-winning game built using SN17-generated assets. At 404, we aim to help kickstart the next revolution in gaming around AI-native games. That starts with democratising 3D content creation through Bittensor, making it easier for creators to build virtual worlds, games, and AR/VR/XR experiences without needing massive production teams. The long-term vision is to let creators describe the game or world they want to build, then generate the assets, sound, voice, and environment around it. The Dream is an amazing example of that vision. It is a fully playable 3D open-world experience created by a two-person team in just 30 days, using over 12,000 assets generated with 404. The goal is not to replace enterprise game development. It is to create a new layer where individuals and small teams can build and explore high-fidelity game worlds without needing a massive AAA-style pipeline. Sometimes, you need to see it to believe it. Play The Dream yourself at:

404

19,278 görüntüleme • 1 ay önce

The future of smart AI 3D Gaming Models is here. 🤖 Create AI 3D Avatar Token (Agents) for free. Anyone participating can use the created Avatar in Gaming and revenue generated is shared by Token Holders. ➡️ ⬅️ Decentralized AI Gaming Assets. $STYLE

3D AI Agents Launchpad - Avatars/NPCs for Gaming!

23,538 görüntüleme • 1 yıl önce

“The only team productizing Constitutional AI outside of Anthropic is us” On the latest Novelty Search, Trishool | SN23 shared that SN23 is training a 0.8B guard model close to SOTA, at one-tenth the size of Qwen’s leading guard model. They also break down how competitive jailbreaks from Bittensor miners help harden their Constitutional AI guard models. Hosted by const Full episode in the first comment

“The only team productizing Constitutional AI outside of Anthropic is us” On the latest Novelty Search, Trishool | SN23 shared that SN23 is training a 0.8B guard model close to SOTA, at one-tenth the size of Qwen’s leading guard model. They also break down how competitive jailbreaks from Bittensor miners help harden their Constitutional AI guard models. Hosted by const Full episode in the first comment

Openτensor Foundaτion

21,095 görüntüleme • 2 ay önce

I generated this 3D enviroment using a single image using "Marble" from World Labs. The new version can generate a mesh from the splat and is directly usable in Unreal Engine 5.7.

I generated this 3D enviroment using a single image using "Marble" from World Labs. The new version can generate a mesh from the splat and is directly usable in Unreal Engine 5.7.

Matt Workman

42,460 görüntüleme • 9 ay önce

Someone vibe coded a fully interactive 3D human anatomy app using GPT-5.6 Sol and Codex, and it started from a single design image. GPT Image 2.0 generated the design. Every organ image was generated from it and converted to 3D models through Tripo AI. Codex took those models, a master prompt and the design image and built the first version. The models were nearly 150MB each and running at 16fps, so Codex optimized everything down to 2 to 5.5MB per model and reduced total assets from 900MB to 28.6MB while keeping the visual quality intact. Codex also generated the anatomical illustrations showing where each organ sits, and created the interactive hotspot markers explaining different parts of every organ. Live and fully open source.

Someone vibe coded a fully interactive 3D human anatomy app using GPT-5.6 Sol and Codex, and it started from a single design image. GPT Image 2.0 generated the design. Every organ image was generated from it and converted to 3D models through Tripo AI. Codex took those models, a master prompt and the design image and built the first version. The models were nearly 150MB each and running at 16fps, so Codex optimized everything down to 2 to 5.5MB per model and reduced total assets from 900MB to 28.6MB while keeping the visual quality intact. Codex also generated the anatomical illustrations showing where each organ sits, and created the interactive hotspot markers explaining different parts of every organ. Live and fully open source.

0xMarioNawfal

56,870 görüntüleme • 28 gün önce

You can build your 3D models directly from a prompt into Claude code. All thanks to this beautiful python project, build123 a parametric modeling framework for 2D and 3D CAD. It is built on the Open Cascade geometric kernel and it is suitable for 3D printing.

You can build your 3D models directly from a prompt into Claude code. All thanks to this beautiful python project, build123 a parametric modeling framework for 2D and 3D CAD. It is built on the Open Cascade geometric kernel and it is suitable for 3D printing.

Marco Franzon

20,819 görüntüleme • 5 ay önce

Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS

Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS

Joseph Azar

74,480 görüntüleme • 2 ay önce

“The bank of Bittensor” That’s how Zipcode framed the long-term vision for SN46 on the latest Novelty Search. Zipcode started with real estate appraisals. The bigger vision is on-chain credit, real-world assets, and a new financial layer on Bittensor. Hosted by const Full episode in the first comment

“The bank of Bittensor” That’s how Zipcode framed the long-term vision for SN46 on the latest Novelty Search. Zipcode started with real estate appraisals. The bigger vision is on-chain credit, real-world assets, and a new financial layer on Bittensor. Hosted by const Full episode in the first comment

Openτensor Foundaτion

26,968 görüntüleme • 2 ay önce

Wild what's possible now: I can ship a 3D experience prototype to a museum in a single afternoon. Everything coded and generated with Omma, leveraging AI to iterate fast. 3D models generated in Omma. Scene built on top of Three.js. Prompted for dissolving shaders + particle systems?

Wild what's possible now: I can ship a 3D experience prototype to a museum in a single afternoon. Everything coded and generated with Omma, leveraging AI to iterate fast. 3D models generated in Omma. Scene built on top of Three.js. Prompted for dissolving shaders + particle systems?

Joseph Azar

93,557 görüntüleme • 3 ay önce

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Martin Nebelong

48,280 görüntüleme • 2 yıl önce

Quickly create real-time dance content that you can choose to use directly for virtual live streaming or interactive experiences in VR. All it takes is capturing with a webcam, powered by an AI-generated 3D motion solution. 3D models from Warudo @ Hakuya Labs

Quickly create real-time dance content that you can choose to use directly for virtual live streaming or interactive experiences in VR. All it takes is capturing with a webcam, powered by an AI-generated 3D motion solution. 3D models from Warudo @ Hakuya Labs

CYANPUPPETS

16,462 görüntüleme • 2 yıl önce

Fable 5 generated this INSANE 3D Hogwarts environment... and it does it so easily because Anthropic built it to excel at long horizon tasks... working on its own for hours until it's perfectly done 3D maps, games and assets are the perfect showcase of that if you want to learn how to master this insane model, check out the full course:

Fable 5 generated this INSANE 3D Hogwarts environment... and it does it so easily because Anthropic built it to excel at long horizon tasks... working on its own for hours until it's perfectly done 3D maps, games and assets are the perfect showcase of that if you want to learn how to master this insane model, check out the full course:

Machina

35,800 görüntüleme • 1 ay önce

Fable 5 built this 3D world in Three.js with no external assets. The project was almost entirely generated autonomously by Fable 5, with only occasional human feedback for visual details the model could not reliably inspect, like moving water and wind effects. That makes the result a lot more interesting than a normal assisted 3D demo: the terrain, vegetation, atmosphere and world structure were effectively produced by the model itself. The full prompt is also included in the repository, so the experiment is inspectable. Repository: Project by: Remi Sebastian Kits

Fable 5 built this 3D world in Three.js with no external assets. The project was almost entirely generated autonomously by Fable 5, with only occasional human feedback for visual details the model could not reliably inspect, like moving water and wind effects. That makes the result a lot more interesting than a normal assisted 3D demo: the terrain, vegetation, atmosphere and world structure were effectively produced by the model itself. The full prompt is also included in the repository, so the experiment is inspectable. Repository: Project by: Remi Sebastian Kits

Token Gremlin

11,708 görüntüleme • 20 gün önce

Kimi. Kimi. Kimi. 🔥 You can literally build a beautiful website in a couple of hours using Kimi.ai 3D effects, images, UI elements, everything gets generated on its own. You don't have to spend time finding assets, fonts, or any other design resources. This is the kind of intelligence I want from AI. Give it a prompt and a reference, and it should figure out the rest. Generate the assets, coordinate the sub agents, and ship a complete experience. That's the future. Live: Code: Design:

Kimi. Kimi. Kimi. 🔥 You can literally build a beautiful website in a couple of hours using Kimi.ai 3D effects, images, UI elements, everything gets generated on its own. You don't have to spend time finding assets, fonts, or any other design resources. This is the kind of intelligence I want from AI. Give it a prompt and a reference, and it should figure out the rest. Generate the assets, coordinate the sub agents, and ship a complete experience. That's the future. Live: Code: Design:

The Bugged Dev

30,210 görüntüleme • 24 gün önce

📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai

📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai

Matthias Niessner

19,020 görüntüleme • 5 ay önce

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

AI at Meta

408,909 görüntüleme • 2 yıl önce

Yes, AI is here and 3D artists have to adapt. Here's one way I'm integrating AI with my 3D work, as a set extension. The BG is generated by Kling 3.0 and brought into my 3D scene so I can fully control the timing of the lights in the FG, which is 3D. Seedance 2.0 next!!

Yes, AI is here and 3D artists have to adapt. Here's one way I'm integrating AI with my 3D work, as a set extension. The BG is generated by Kling 3.0 and brought into my 3D scene so I can fully control the timing of the lights in the FG, which is 3D. Seedance 2.0 next!!

David Ariew

29,702 görüntüleme • 6 ay önce

great to see more people generating 3d avatars with our new text-to-3d feature in forge. this marks a step in the right direction in putting powerful creation tools directly in the hands of everyone. we built forge entirely from the ground up over the past months as one of the key releases on our roadmap. having full proprietary ownership of the technology gives us complete control to shape its direction without depending on external platforms or third-party licenses. building on this foundation, our upcoming studio feature will let users generate high-quality accessories, clothing, and environments simply by typing natural language prompts. a single description can produce fully textured, production-ready 3d assets in seconds, with options to create multiple variations and refine them through follow-up instructions.every asset created in studio integrates seamlessly with the 3d ai agents made in forge on users can instantly apply clothing and accessories with automatic fitting, layer multiple items, and place their agents inside custom-generated environments. all clothing and accessories come pre-rigged and optimized, while environments include proper lighting and geometry for immediate use in games, animation, virtual worlds, and more. we have spent months thoughtfully designing how can deliver real, sustainable value back to the community. we will continue to share more details on token utility use cases and the economic flywheel we have built. the goal is to create a self-reinforcing system where creators earn through royalties, autonomous agents drive on-chain activity, and platform growth directly benefits active community members and token holders. together, these features enable a complete creative flow. from a simple idea, anyone can quickly build fully realized 3d ai agents standing in rich, custom scenes. we are excited to see what the community builds next.

great to see more people generating 3d avatars with our new text-to-3d feature in forge. this marks a step in the right direction in putting powerful creation tools directly in the hands of everyone. we built forge entirely from the ground up over the past months as one of the key releases on our roadmap. having full proprietary ownership of the technology gives us complete control to shape its direction without depending on external platforms or third-party licenses. building on this foundation, our upcoming studio feature will let users generate high-quality accessories, clothing, and environments simply by typing natural language prompts. a single description can produce fully textured, production-ready 3d assets in seconds, with options to create multiple variations and refine them through follow-up instructions.every asset created in studio integrates seamlessly with the 3d ai agents made in forge on users can instantly apply clothing and accessories with automatic fitting, layer multiple items, and place their agents inside custom-generated environments. all clothing and accessories come pre-rigged and optimized, while environments include proper lighting and geometry for immediate use in games, animation, virtual worlds, and more. we have spent months thoughtfully designing how can deliver real, sustainable value back to the community. we will continue to share more details on token utility use cases and the economic flywheel we have built. the goal is to create a self-reinforcing system where creators earn through royalties, autonomous agents drive on-chain activity, and platform growth directly benefits active community members and token holders. together, these features enable a complete creative flow. from a simple idea, anyone can quickly build fully realized 3d ai agents standing in rich, custom scenes. we are excited to see what the community builds next.

nich

19,611 görüntüleme • 2 ay önce