multi-player, multi-view, llm generated shared 3d objects *this palm... tree cost about 1.3 cents using gpt-4oshow more

I just validated my startup idea using a multi-agent... AI debate. → GPT-4o (Founder) → Gemini (VC) → Claude (Customer) The result? Shockingly real...and honestly everyone should try this: 👇show more

This is hand and finger motion capture powered by... AI. 3D motion data is generated from 2D video. No suits or gloves required. This example was captured using Move Multi-Cam with 8 GoPro cameras shooting at 4K and 120 FPS.show more

This is 3D animation powered by AI. No suits... or markers needed. This 2D video was captured with GoPro cameras and converted to 3D motion data using Move Multi-Cam. #MadeWithMoveshow more

GPT-6.1 Sol + Blender MCP is INSANE 😱 I... just turned some multi-view Gundam photos into a textured 3D model I could rotate, zoom, and explore in UNDER 10 minutes. No modeling experience. Just reference images and prompts. Here’s how I did it ↓show more

Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic... Reconstruction Contributions: • A method for efficiently reconstructing dynamic surfaces from multi-view videos using Gaussian surfels. • A unified and gradient-aware densification strategy for optimizing dynamic 3D Gaussians with fine details. • A temporal consistency approach that ensures stable and coherent surface reconstructions across frames by enforcing consistency on curvature maps. • Extensive experiments that demonstrate our method’s advantages including fast training, high-fidelity novel view synthesis, and accurate surface geometry.show more

THE BEST visual explainer of how information propagates through... a transformer. If you want to have more than intuition about how the Transformer architecture is ruling the LLM world - open-source project explains everything about LLM Transformer Models! - A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including: - Self-attention mechanisms - Encoder-decoder architecture - Positional encoding - Multi-head attentionshow more

Everything you are lives inside this structure. The brain... has the consistency of soft tofu. Without the skull, it would be destroyed by everyday forces. This exploded view shows the multi-layered defense: interlocking bones, impact-distributing sutures, three meningeal layers, and cerebrospinal fluid. Bone, sutures, meninges, CSF. Four layers of protection. #SkullAnatomy All animations created using the SciePro 3D anatomy model.show more

With everyone busily using LLMs + Blender/Three.js to make... 3D models, I thought I'd try a different geometric representation. This dragon isn't a mesh, NeRF, 3DGS, or video model: it's 27kb of GLSL code (generated via LLM), defining a closed-form implicit surface. 🧵 [1/n]show more

What if anatomy explorers felt alive? This 3D dog,... including the skeleton, organs and rig, was generated with ai and reacts to the cursor in real time with head tracking and tail movement. - Used GPT Images 2 for consistency - Omma AI for 3D generation and code using Three.js Lmk if you’d like to try it!show more

By far the best way to generate images at... different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇show more

UPDATE: If your generated 3D models looked janky, I've... got good news for you! Get even higher fidelity 3D models locally - thanks to a bump in how my Pixel Match works. Multi-view: Front + Back and higher face details. Things only get better from here :D All this for free, locally on your machine: NVIDIA + MAC + AMD! Image to 3D models sometimes mess up details on the face - esp for realistic types of characters. That just got better in the latest release of AssetFurnace! There's a bunch of other updates too that you can check out here: And join the conversation over at discord (👇) - tutorials and updates coming there.show more

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published... a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.show more

GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A... new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.show more

i generated this video using two blurry pics of... myself from two years ago at griffith observatory with the MiniMax H3 model. it's surprisingly natural and sounds really close to how i actually speak. i haven't followed video generation models enough in the past year, but i'm really curious about the tech behind them. now they can even generate high-fidelity voice, accurate text, and editable video. i still remember the days when we were shocked by gpt-4o and the sora sample video. it's been a long way since then. #MiniMaxH3 MiniMax Design (H3)show more

POV: One tiny act of kindness changed EVERYTHING Gugugaga... only had one dumpling… but she still shared it with a hungry little bunny in the rain What happened next melted my heart Created this cozy Pixar-style 3D animated short using GPT Image 2 + Seedance Huge shoutout to Renoise canvas for helping bring this wholesome world to life Would you share your last dumpling? Prompt is in the video DM for full Prompt #RenoiseCanvasshow more

A CHINESE DEVELOPER CREATED THE "NEXT INTERSTELLAR" WITH AI,... AND NETFLIX IS OFFERING $5,000,000 TO BUY THE RIGHTS He dropped a solo-generated cinematic trailer online, and within 48 hours. Streaming giants like Netflix and Amazon Prime flooded his inbox with over 10 massive multi-million dollar acquisition deals. The production engine driving this is pure insanity: Scripting & visual world-building: automated via LLM agents Hyper-realistic sci-fi rendering & lighting: 100% neural generated Dynamic cinematic physics & camera motion: executed on local AI rigs If you want to replicate this exact pipeline and build your own cinematic AI movie, read the full step-by-step workflow breakdown in the article below 👇show more

Introducing Kaleido💮 from AI at Meta — a universal... generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:show more

5-axis 3D printing is pushing additive manufacturing beyond traditional... limits. 🤯 This helical coil was produced using the 5-axis system developed by Generative Machine Company, with Aibuild software generating the synchronized multi-axis toolpath. The machine and software work together to dynamically control the print path, layer height and speed, allowing complex geometries to be produced without traditional support structures. Aibuild and Generative Machine Company are showing what happens when advanced software and multi-axis hardware are designed to work as one system. Could 5-axis printing become the future of complex-part manufacturing? 👀 🎥 Media: Aibuild × Generative Machine Company ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Aibuild #GenerativeMachine #GenerationOne #5Axis3DPrinting #AdditiveManufacturing #3DPrinting #Robotics #AdvancedManufacturing #Engineering #Manufacturing #CTORoboticsMedia show more

Seedance 2.0 - Cinematic Summoning VFX Prompt This prompt... generates a multi-cut VFX showcase with a clear progression. It’s designed for realistic 3D with grounded physics, natural character motion and readable, production-style VFX. You don’t need to define the summon, but you can specify what is being summoned if you want control. If you leave it open, the model decides based on the character sheet. You can find gpt image 2 character sheet prompt in the quoted post. Also, this isn’t limited to summoning. You can reuse the same VFX structure for anything, just swap the effect logic. Just change the parts about summoning. Prompt in the replies 👇show more

Republicans like Nancy Mace insist that Liam should be... using the female restroom. Really? A few questions: - Why? - How does this make sense to anyone beyond a kindergarten-level understanding of gender? - Have you actually thought this through, or is this just about scoring cheap political points? The point of posts like this is simple: Complex, multi-faceted issues can’t be reduced to oversimplified, black-and-white answers. But hey, I guess nuance isn’t for everyone.show more