Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

We build a Skill.md for it🔥 OpenAI Developers #Codex + #GPT-5.5 + #Hyper3D Rodin: one-click animated game assets. (This track looks goofy 😂 Try our Skill in any Coding Agent, interactive #3D Asset from image/text ⬇️

Hyper3D by Deemos

15,263 subscribers

23,641 Aufrufe • vor 6 Monaten •via X (Twitter)

#Codex #GPT #Hyper3D #3D

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Hyper3D just launched WorldGen, and it takes 3D generation from single assets to full scenes. From one image, it builds a structured 3D scene where every important object is its own editable asset. You can move it, replace it, edit it, and interact with it. How it works: 1. Upload a scene image 2. WorldGen identifies the objects 3. Generate the full scene with Max Gen and walk around with WASD 4. Select any object and move, delete, replace, or regenerate it with Hyper3D Rodin 5. Click "Interactive" to see physical properties 6. Export to Blender, Unity, or UE It pairs Rodin's independent Mesh assets with 3D Gaussian Splatting for the environment, and predicts position, scale, collision, mass, and friction. Built for embodied AI training, film pre-viz with video models like Seedance 2.5, game dev, and XR. From DeemosTech, whose CAST research won a Best Paper Award at SIGGRAPH 2025. Try Hyper3D WorldGen: Get updates Hyper3D by Deemos: 14-day Free Trial Code: 35TLO1MS #Hyper3D #DeemosTech #Rodin #WorldGen #AI3D

Hyper3D just launched WorldGen, and it takes 3D generation from single assets to full scenes. From one image, it builds a structured 3D scene where every important object is its own editable asset. You can move it, replace it, edit it, and interact with it. How it works: 1. Upload a scene image 2. WorldGen identifies the objects 3. Generate the full scene with Max Gen and walk around with WASD 4. Select any object and move, delete, replace, or regenerate it with Hyper3D Rodin 5. Click "Interactive" to see physical properties 6. Export to Blender, Unity, or UE It pairs Rodin's independent Mesh assets with 3D Gaussian Splatting for the environment, and predicts position, scale, collision, mass, and friction. Built for embodied AI training, film pre-viz with video models like Seedance 2.5, game dev, and XR. From DeemosTech, whose CAST research won a Best Paper Award at SIGGRAPH 2025. Try Hyper3D WorldGen: Get updates Hyper3D by Deemos: 14-day Free Trial Code: 35TLO1MS #Hyper3D #DeemosTech #Rodin #WorldGen #AI3D

LX™

93,497 Aufrufe • vor 24 Tagen

GPT-6 Astra can already plan, code, and build. The more interesting question is what happens when it can call a dedicated 3D tool at the exact moment a project needs an asset. So we connected Hyper3D Rodin MCP and asked Astra to build an interactive Solar System Explorer. Astra handled the app logic and integration. When it needed 3D models, it called Hyper3D Rodin directly. Hyper3D Rodin generated the required assets, and Astra brought them back into the project and continued building from there. That is where the workflow gets useful. Instead of stopping to search for assets or creating them manually, Astra can keep moving while Hyper3D handles the specialized 3D generation, with more control over the output and assets that are easier to integrate into the final project. The result is a browser-based solar system where the generated 3D models are part of the actual experience, not just outputs sitting in a model viewer.

GPT-6 Astra can already plan, code, and build. The more interesting question is what happens when it can call a dedicated 3D tool at the exact moment a project needs an asset. So we connected Hyper3D Rodin MCP and asked Astra to build an interactive Solar System Explorer. Astra handled the app logic and integration. When it needed 3D models, it called Hyper3D Rodin directly. Hyper3D Rodin generated the required assets, and Astra brought them back into the project and continued building from there. That is where the workflow gets useful. Instead of stopping to search for assets or creating them manually, Astra can keep moving while Hyper3D handles the specialized 3D generation, with more control over the output and assets that are easier to integrate into the final project. The result is a browser-based solar system where the generated 3D models are part of the actual experience, not just outputs sitting in a model viewer.

GitHub Projects Community

11,097 Aufrufe • vor 1 Monat

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

Nick

12,239 Aufrufe • vor 1 Monat

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,917 Aufrufe • vor 6 Monaten

Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.

Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.

Bezi

15,295 Aufrufe • vor 2 Jahren

So this game is real now, fully built with GPT-5.5. I told Codex to use the imagegen skill to generate a reference UI and sprites, and used the Build macOS Apps plugin to build the app for a native retro fantasy labyrinth game! Adjusted the UI in a few prompts and here we are!

So this game is real now, fully built with GPT-5.5. I told Codex to use the imagegen skill to generate a reference UI and sprites, and used the Build macOS Apps plugin to build the app for a native retro fantasy labyrinth game! Adjusted the UI in a few prompts and here we are!

Thomas Ricouard

145,259 Aufrufe • vor 6 Monaten

This is what one full weekly Opus 5.5 limit looks like when you give it Blender MCP + Unity 6 Every 3D model and animation in this game was created with Opus 5.5 through Blender MCP, then brought into Unity 6 to build the playable world. The result is a colorful 3D environment filled with: > boats and docks > animated characters > underwater scenery > custom 3D assets > a complete explorable environment One weekly Opus limit turned into essentially an entire game's worth of 3D assets and animations. A playable demo is coming soon.

This is what one full weekly Opus 5.5 limit looks like when you give it Blender MCP + Unity 6 Every 3D model and animation in this game was created with Opus 5.5 through Blender MCP, then brought into Unity 6 to build the playable world. The result is a colorful 3D environment filled with: > boats and docks > animated characters > underwater scenery > custom 3D assets > a complete explorable environment One weekly Opus limit turned into essentially an entire game's worth of 3D assets and animations. A playable demo is coming soon.

Hakimi Eiqbal

26,755 Aufrufe • vor 18 Tagen

Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.

Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.

Givros

71,519 Aufrufe • vor 5 Monaten

Everyone's testing GPT 5.6. We gave it superpowers ⚡️ Can your agent generate images, turn them into video, and stitch the whole thing together in one chat? Ours can. The new GPT 5.6 image model is a perfect match for the Sogni Creative Agent. 10 images from a single prompt. One follow-up and they're animated and cut into a finished film. Zero editing apps. The newest models, built in: Seedance 4K + Mini, Krea 2 Turbo, HappyHorse 1.1 and more. Works with any AI agent you already use. One command: npx setup-sogni-agent-skill Sogni Creative Agent. Link below 👇

Everyone's testing GPT 5.6. We gave it superpowers ⚡️ Can your agent generate images, turn them into video, and stitch the whole thing together in one chat? Ours can. The new GPT 5.6 image model is a perfect match for the Sogni Creative Agent. 10 images from a single prompt. One follow-up and they're animated and cut into a finished film. Zero editing apps. The newest models, built in: Seedance 4K + Mini, Krea 2 Turbo, HappyHorse 1.1 and more. Works with any AI agent you already use. One command: npx setup-sogni-agent-skill Sogni Creative Agent. Link below 👇

Sogni.ai

353,296 Aufrufe • vor 3 Monaten

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

The Bugged Dev

2,121,246 Aufrufe • vor 2 Monaten

🌌 GPT-6 Astra from OpenAI Developers is now generally available in GitHub Copilot. This new model is designed for long-horizon, autonomous coding and agentic tasks. Our internal testing shows it plans and validates as it goes, batches diagnosis with verification, and independently confirms its results before declaring a task done. That translated into stronger performance on extensive coding jobs with fewer steps than prior OpenAI models. Try it out in the GitHub Copilot app, CLI, or Visual Studio Code. 🚀

🌌 GPT-6 Astra from OpenAI Developers is now generally available in GitHub Copilot. This new model is designed for long-horizon, autonomous coding and agentic tasks. Our internal testing shows it plans and validates as it goes, batches diagnosis with verification, and independently confirms its results before declaring a task done. That translated into stronger performance on extensive coding jobs with fewer steps than prior OpenAI models. Try it out in the GitHub Copilot app, CLI, or Visual Studio Code. 🚀

GitHub

175,100 Aufrufe • vor 1 Monat

“This took less than an hour." Interactive 3D is becoming essential across industries - but for a lot of teams, it’s still out of reach. That’s why we built Unity Studio - an intuitive, web-based, no-code editor that helps teams across industries, from manufacturing to retail, turn existing 3D assets into interactive experiences, straight from the browser. Check out what it looks like to go from a static 3D file to a fully interactive demo in under an hour. 🔗 Try it out yourself with a free 30 day Unity Studio trial:

“This took less than an hour." Interactive 3D is becoming essential across industries - but for a lot of teams, it’s still out of reach. That’s why we built Unity Studio - an intuitive, web-based, no-code editor that helps teams across industries, from manufacturing to retail, turn existing 3D assets into interactive experiences, straight from the browser. Check out what it looks like to go from a static 3D file to a fully interactive demo in under an hour. 🔗 Try it out yourself with a free 30 day Unity Studio trial:

Unity

10,408 Aufrufe • vor 5 Monaten

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

James Rochabrun

61,608 Aufrufe • vor 4 Monaten

Last week I got Opus 5.5 and GPT-6 Astra to separately build me a 3D game engine in C++ from ONE prompt - a short markdown doc with some basic requirements. Opus 5.5 worked for 36 HOURS STRAIGHT and produced not just a fully functional 3D game engine, but TWO great quality games to go along with it. Astra worked for 1.5 hours and produced a basic starting point. Not sure why it stopped, but the basic engine was there. No idea what the code looks like (yet) - keen to do a code review and find out. This is one of the games that Opus 5.5 built in the "Basalt" engine, as it called it. This is my reaction to seeing it for the first time.

Last week I got Opus 5.5 and GPT-6 Astra to separately build me a 3D game engine in C++ from ONE prompt - a short markdown doc with some basic requirements. Opus 5.5 worked for 36 HOURS STRAIGHT and produced not just a fully functional 3D game engine, but TWO great quality games to go along with it. Astra worked for 1.5 hours and produced a basic starting point. Not sure why it stopped, but the basic engine was there. No idea what the code looks like (yet) - keen to do a code review and find out. This is one of the games that Opus 5.5 built in the "Basalt" engine, as it called it. This is my reaction to seeing it for the first time.

Yan Chernikov

63,449 Aufrufe • vor 18 Tagen

I built a Three.js game director skill system for Codex & Claude Code to help agents create more polished playable browser games. It guides gameplay loops, graphics, HUD/UI, debugging, QA, and optional Tripo ElevenLabs Nano Banana 2.1 3D/image/audio assets with API keys. Open source, get the skills in this thread 👇

I built a Three.js game director skill system for Codex & Claude Code to help agents create more polished playable browser games. It guides gameplay loops, graphics, HUD/UI, debugging, QA, and optional Tripo ElevenLabs Nano Banana 2.1 3D/image/audio assets with API keys. Open source, get the skills in this thread 👇

Majid Manzarpour

148,003 Aufrufe • vor 4 Monaten

I’ve been messing around with AI 3D tools lately, and I honestly didn’t expect this to work as well as it did. I gave Hyper3D a single reference with information of the same object and basically told it to figure out the 3D workflow for me. What surprised me was that it didn’t just generate a model from one image. It actually understood the different views and used them together to build a complete asset. And then you can keep working on it. With the Low-Poly N-GONS workflow, I could ask it to add custom controls for different parts, change dimensions, create animations, and even change specific materials just by describing what I wanted. So it feels less like “generate a 3D model and download it” and more like having something you can actually keep iterating on. Generate something → look at it → tell it what to change → keep going. I’ve been having a lot of fun experimenting with this. Try Agentic Mode on Hyper3D by Deemos #Hyper3D #DeemosTech #Rodin #AI3D #AgenticMode #3DModeling #AI

I’ve been messing around with AI 3D tools lately, and I honestly didn’t expect this to work as well as it did. I gave Hyper3D a single reference with information of the same object and basically told it to figure out the 3D workflow for me. What surprised me was that it didn’t just generate a model from one image. It actually understood the different views and used them together to build a complete asset. And then you can keep working on it. With the Low-Poly N-GONS workflow, I could ask it to add custom controls for different parts, change dimensions, create animations, and even change specific materials just by describing what I wanted. So it feels less like “generate a 3D model and download it” and more like having something you can actually keep iterating on. Generate something → look at it → tell it what to change → keep going. I’ve been having a lot of fun experimenting with this. Try Agentic Mode on Hyper3D by Deemos #Hyper3D #DeemosTech #Rodin #AI3D #AgenticMode #3DModeling #AI

JOY JULIET

80,452 Aufrufe • vor 14 Tagen

Pretty incredible You have to try the new '/goal' feature in Codex It worked for over an hour and built me an entire complex extraction shooter video game You give it a goal, then it works endlessly until the goal is complete. It's like a Ralph loop. Can run for days If you enable the image gen skill before you run the goal, it will even generate ALL the assets for your game autonomously. I didn't manually create ANY of the assets you see in the video Recommendations: enable the image gen skill, put on skip all permissions, and give the prompt as much detail as you can. It will accomplish ALL of it This has to be the sickest way to build games/ long running app tasks ever

Pretty incredible You have to try the new '/goal' feature in Codex It worked for over an hour and built me an entire complex extraction shooter video game You give it a goal, then it works endlessly until the goal is complete. It's like a Ralph loop. Can run for days If you enable the image gen skill before you run the goal, it will even generate ALL the assets for your game autonomously. I didn't manually create ANY of the assets you see in the video Recommendations: enable the image gen skill, put on skip all permissions, and give the prompt as much detail as you can. It will accomplish ALL of it This has to be the sickest way to build games/ long running app tasks ever

Alex Finn

304,434 Aufrufe • vor 5 Monaten

OPENAI 🔥: Key insights from upcoming DevDay sessions. * This agenda is not public yet First, OpenAI will build Platform capabilities inside Codex, enabling users to develop plugins, agents, and apps right from a dedicated DevDay page, which is quite cool! Highlights from the agenda 👀 > Claw Labs "Join Peter Steinberger for a look at how agents can change the way open-source teams build." > 🔥 Codex Game Studio "What makes a game easy for humans but hard for AI? Build one and put Codex to the test." > 🔥 What Will You Build With Coding Agents That Don’t Quit? What engineering work deserves your time and tokens? Learn from a Codex run that spent more than 1,000 hours keeping builds and tests passing in a large shared codebase. See how this internal OpenAI agent had goals, subagents, and persistent plans that helped it investigate failures and coordinate fixes. > Codex Has Left The Laptop "As we move from delegating individual tasks to letting Codex tackle entire problems and goals on its own, it’s possible to harness the power of Codex wherever and however you work. " > From Single Player to Multiplayer with Codex "Follow a 2am outage from the first Slack messages to a reviewed fix and an update for the team." > What Comes After Loops?: Deep Dive Into Agentic Architecture "As models become more capable, agent architectures are changing. We'll trace the evolution from simple loops to collaborating agents, examine the design choices and model advancements behind that shift, and take a deep dive into what comes next."

OPENAI 🔥: Key insights from upcoming DevDay sessions. * This agenda is not public yet First, OpenAI will build Platform capabilities inside Codex, enabling users to develop plugins, agents, and apps right from a dedicated DevDay page, which is quite cool! Highlights from the agenda 👀 > Claw Labs "Join Peter Steinberger for a look at how agents can change the way open-source teams build." > 🔥 Codex Game Studio "What makes a game easy for humans but hard for AI? Build one and put Codex to the test." > 🔥 What Will You Build With Coding Agents That Don’t Quit? What engineering work deserves your time and tokens? Learn from a Codex run that spent more than 1,000 hours keeping builds and tests passing in a large shared codebase. See how this internal OpenAI agent had goals, subagents, and persistent plans that helped it investigate failures and coordinate fixes. > Codex Has Left The Laptop "As we move from delegating individual tasks to letting Codex tackle entire problems and goals on its own, it’s possible to harness the power of Codex wherever and however you work. " > From Single Player to Multiplayer with Codex "Follow a 2am outage from the first Slack messages to a reviewed fix and an update for the team." > What Comes After Loops?: Deep Dive Into Agentic Architecture "As models become more capable, agent architectures are changing. We'll trace the evolution from simple loops to collaborating agents, examine the design choices and model advancements behind that shift, and take a deep dive into what comes next."

🚨 AI News | TestingCatalog

110,192 Aufrufe • vor 25 Tagen

Meet AMD Skills: A growing catalog of agent skills that helps AI coding assistants work more effectively with AMD hardware and software. Compatible with coding agents including Cursor, Claude Code, OpenAI Codex, and Gemini CLI, AMD Skills provides the knowledge, scripts, and best practices developers need to build faster on AMD. Why try it? → Install in seconds with the Skills CLI → Learn AMD best practices and workflows → Build AI applications from client to cloud → Pick only the skills you need Get started: npx skills add amd/skills Explore the project, install a skill, and let us know what you'd like to see next:

Meet AMD Skills: A growing catalog of agent skills that helps AI coding assistants work more effectively with AMD hardware and software. Compatible with coding agents including Cursor, Claude Code, OpenAI Codex, and Gemini CLI, AMD Skills provides the knowledge, scripts, and best practices developers need to build faster on AMD. Why try it? → Install in seconds with the Skills CLI → Learn AMD best practices and workflows → Build AI applications from client to cloud → Pick only the skills you need Get started: npx skills add amd/skills Explore the project, install a skill, and let us know what you'd like to see next:

AI at AMD

13,609 Aufrufe • vor 2 Monaten

Introducing ManimGX, the 3D animation engine for agents. - Blazingly fast: 90× faster than ManimCE - Rust + wgpu core - Compatible with Manim's Python API - Lightweight: one pip install, no system dependencies Open source: Docs: For 40 years we built GUIs for humans. Now we build APIs for agents. Try it. Paste this into your favorite coding agent: "Follow to make me a 3D animation of the solar system, and open it."

Introducing ManimGX, the 3D animation engine for agents. - Blazingly fast: 90× faster than ManimCE - Rust + wgpu core - Compatible with Manim's Python API - Lightweight: one pip install, no system dependencies Open source: Docs: For 40 years we built GUIs for humans. Now we build APIs for agents. Try it. Paste this into your favorite coding agent: "Follow to make me a 3D animation of the solar system, and open it."

Sina Atalay

255,903 Aufrufe • vor 13 Tagen