Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for World Models for the week ending September 4, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.
Category Cover Image Prompt: A psychedelic screen-printed gig poster of two illustrated hands cradling a crystal snow-globe containing a tiny swirling world with miniature mountains, rivers, roads, and clouds looping in impossible op-art spirals, surrounded by concentric ripples, autumn leaves and a harvest moon in an ornate decorative border, with bold hand-lettered 'World Models' arcing across the top in 1960s Fillmore-revival type, flat ink layers in electric magenta, acid orange, deep teal and lime green on cream paper stock with visible registration offset and paper texture.
This Week in World Models News
Summary by Claude Sonnet 5.5 based on this week’s links:
- Atlas dominated the week: World Labs launched Atlas, a multimodal world model that generates frames with precise camera control and reconstructs them in 3D. Its co-founders and others highlighted that it can rebuild large scenes from very few photos, such as Mildenhall's London museum flythrough from three separate images.
- Real2Sim for robotics: Fei-Fei Li, Jim Fan and Yunzhu Li all pointed to robotics as a major use. In Li's demo, a few casual phone photos become a simulation where different robots navigate, with Atlas generating the RGB and depth views they would see. Justin Johnson predicted training a robot for a new environment from about five photos.
- Runway pushes interactive worlds: Runway announced GWM Worlds 2, which it says generates real-time interactive video simulations at 720p and 24 fps. Runway also described it as the first world model with a general action space, covering navigation, manipulation and human interaction, and said it is already using it for evaluation.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to World Models
@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
https://x.com/drfeifei/status/2094910083444707551
@theworldlabs Amazing work! Great step towards real2sim for robotics!
https://x.com/DrJimFan/status/2094905169460736291
NEW WORLD MODEL: @ylecun’s team is back with an efficient model! This project involves @ylecun, @lukaskuhn77, @lucasmaes_, @quentinlldc, and @randall_balestr. A couple definitions first: – DINO: self-DIstillation with NO labels. A self-supervised image model (Meta, 2021) where
https://x.com/LeoKharon/status/2094395060636803122
Another glimpse of Real2Sim with Atlas: capture a real environment with just a number of casual photos from a phone, turn them into a sim, then simulate diverse robots navigating different trajectories. Atlas generates the RGB and depth observations they would see along the way.
https://x.com/YunzhuLiYZ/status/2094926835649790103
Cool update by World Labs; I’m most stoked about doing large scale 3d reconstruction using a sparse set of images. That way you capture what’s most important to get right, and AI fills in the rest of the gaps in the scene.
https://x.com/bilawalsidhu/status/2094853004826452337
Introducing Atlas: The world’s first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
https://x.com/theworldlabs/status/2094839756329041984
Introducing Atlas: The world’s first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
https://x.com/theworldlabs/status/2094839756329041984?s=12
our new model Atlas also happens to be a capable text-to-image generator, providing it with a strong foundation of “world knowledge”… this generalizes across both single and multi view domains, meaning you can step into even highly stylized scenes with precise 3D control
https://x.com/BenMildenhall/status/2094859820100952575
World Labs co-founder @jcjohnss predicts a real-to-sim-to-real future where Atlas could train a robot for any new environment in minutes using just 5 photos from your phone: “One is this notion of fully in-context learning. Maybe I’ve got a robotics foundation model, then I can
https://x.com/MTSlive/status/2094950206240600308
Today, we’re sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new
https://x.com/runwayml/status/2094463070466646019
At the limit, world models will become the RL environments for everything. Excited to announce GWM Worlds 2, the first world model with a general action space, merging navigation, manipulation and human interaction in one model. We’re already using it to evaluate
https://x.com/agermanidis/status/2095597719574466676
Atlas is live! A spatial foundation model, trained in-house from scratch. After shipping RTFM last year, I was convinced a single camera-conditioned model could unify most spatial generation tasks. Atlas is that bet at scale. The core idea👇
https://x.com/KeunhongP/status/2094840790061301795
Atlas: A World Model for Spatial Intelligence | World Labs
https://www.worldlabs.ai/blog/atlas
I’m so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas – a first of its kind multimodal world model trained from scratch! 🚀 Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as
https://x.com/drfeifei/status/2094840371675283673
Runway Research | Introducing GWM Worlds 2
https://runway.com/research/introducing-gwm-worlds-2
Two of us filmed this on a couple phones, and we used Atlas to turn it into a short film. This is just a clip from the @theworldlabs tech blog Atlas is able to generate the parts of the scene that none of the cameras actually filmed. It can freeze time, allowing you to reframe
https://x.com/davidpantera_/status/2094841083805266401
Must-read papers of the week ▪️ From Generation to Simulation: How Far Are World Models from Being True Simulators? ▪️ Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning ▪️ Can Video World Models Track Unobserved World States? ▪️
https://x.com/TheTuringPost/status/2094942136865333544
We are sharing a major update to our General World Models efforts. GWM Worlds 2 can generate full, interactive, real-time video simulations in one continuous 720p stream at 24 fps and audio at 48000 Hz, responding to your inputs as you explore. It is the first world model that
https://x.com/c_valenzuelab/status/2095548906281042144
I’m particularly excited by Atlas’s ability to reconstruct scenes from a very small number of input image — was able to create this flythrough of London’s Natural History Museum by combining 3 input images I found from completely separate sources on Google Images
https://x.com/BenMildenhall/status/2094891871730581609
When @ylecun, @demishassabis, and @drfeifei talk about building world models, what do they mean? → They want AI systems that can build an internal map of their surroundings to anticipate what happens next. But that doesn’t mean they’re building the same machine. @kseniase is
https://x.com/TheTuringPost/status/2094573808006938746
One image. A world to train in, shoot in & explore. 🌍 👀Meet HYPER3D #WorldGen: independent foreground meshes + #3DGS background, built for interaction. For robotics🦾, film🎬, games🎮, DCC💎 & XR. 🔥Powered by our Best Paper Award Project 「CAST」. Let’s Connect the Dots⬇️
https://x.com/DeemosTech/status/2094440163246256523
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