Rich Hemming

@footballontnt Sort out your commentary audio it’s clearly feeding back mic monitor into main mic and echoing. Unwatchable

Join us for UCL MD4 💪

Holy moly, TTS is becoming indistinguishable from human voices Cartesia 3 is insane

How did a 20-year-old beat Grok. And ChatGPT. And Perplexity. And Gemini? In part one @blevlabs laid out how: he built a very different architecture to take AI to a new human level. Cognitive architectures, he calls them. I call them AI's with consciousness. Ones that learn, evolve, build themselves, and do so like we do. Part I is here: x.com/Scobleizer/sta… In this part two, he goes more into the technology. And this was recorded more than a week ago in my home. Since then his system has gotten way better. An exponentially learning system. It is how we are going to get to AGI.

I was today years old when I discovered stacks on MacOS 🤦‍♂️🍏👨‍💻

My @OpenXR plugin for Unreal Engine is here! Starting 5.7+ it helps you unleash XR dev in Unreal without the need of 3rd party vendor plugins! No more wait for Meta, you can use AppSW, Passthrough, Dynamic FFR, Dynamic Res, right now! And there is NO telemetry #ue5 #vr

@cometwtf Hi

No account should be under 1k followers... Say hi, I’ll boost you

This is the JPEG moment for AI. Optical compression doesn't just make context cheaper. It makes AI memory architectures viable. Training data bottlenecks? Solved. - 200k pages/day on ONE GPU - 33M pages/day on 20 nodes - Every multimodal model is data-constrained. Not anymore. Agent memory problem? Solved. - The #1 blocker: agents forget - Progressive compression = natural forgetting curve - Agents can now run indefinitely without context collapse RAG might be obsolete. - Why chunk and retrieve if you can compress entire libraries into context? - A 10,000-page corpus = 10M text tokens OR 1M vision tokens - You just fit the whole thing in context Multimodal training data generation: 10x more efficient - If you're OpenAI/Anthropic/Google and you DON'T integrate this, you're 10x slower - This is a Pareto improvement: better AND faster Real-time AI becomes economically viable - Live document analysis - Streaming OCR for accessibility - Real-time translation with visual context - All were too expensive. Not anymore.

@sweriko @GameDevMicah maybe of interest

simulating half a million people in javascript. no 3D models, bones, LOD or VATs

@emmanuel_2m Me please 🙏

Who wants an access code to Veo 3.1?! 🥵🚀🔥🔥

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

@DAIEvolutionHub Send

"Mathematics for Computer Science" This book from MIT is complete Beginner Friendly. Now available FREE. To get: - 1. Follow (So I can DM you ) 2. Like & retweet 3. Reply " Send "

Real time online 3D reconstruction of 3D scene and humans represented with SMPL. fanegg.github.io/Human3R/ I don't get tired of looking at these results

A former Meta engineer has built a head-tracked system that uses just your front-facing camera to turn any screen into a 3D window. No glasses, no headset – just real-time motion parallax that makes flat displays feel alive. Learn how it works: 80.lv/articles/forme…

this might be the coolest blogpost I ever written I dove deep into: - player detection with RF-DETR - player tracking with SAM2 - team clustering with SigLIP and K-means - number recognition with SmolVLM2 and ResNet I hope you'll like it link: blog.roboflow.com/identify-baske…

@TencentHunyuan Please be careful of their licensing - not worth using as so restrictive

We are introducing Hunyuan3D-Part: an open-source part-level 3D shape generation model that outperforms all existing open and close-source models. Highlights: 🔹P3-SAM: The industry's first native 3D part segmentation model. 🔹X-Part: A part generation model that achieves state-of-the-art results in controllability and shape quality. Key-features: 1️⃣Eliminates the use of 2D SAM during training, relying solely on a large-scale dataset with 3.7 million shapes and clean part annotations. 2️⃣Introduces a new automated segmentation pipeline in 3D without user intervention. 3️⃣Implements a diffusion-based part decomposition pipeline utilizing both geometry and semantic clues. Code: github.com/Tencent-Hunyua… Weights: huggingface.co/tencent/Hunyua… Tech reports: 🔸P3-SAM： → Paper: arxiv.org/abs/2509.06784 → Project page: murcherful.github.io/P3-SAM/ 🔸X-Part： → Paper: arxiv.org/abs/2509.08643 → Project page: yanxinhao.github.io/Projects/X-Par… Try it now： → (Light version) Hugging Face demo: huggingface.co/spaces/tencent… → (Full version) Hunyuan3D Studio: 3d.hunyuan.tencent.com/studio

I finally think this platform has died 💀

A light and smart wearable platform with multimodal foundation model for enhanced spatial reasoning in people with blindness and low vision arxiv.org/abs/2505.10875…

@LeonWohlgemuth What are the export options and file types?

Auditory augmented reality for wellbeing intechopen.com/online-first/1… #AR #AAR