#world-model
17 articles
01
·★ MEMBER·PAPER·10 min read
Paper Walkthrough: Puffin-World — A World Model That Remembers Which Way Is Up
What changes when you give an image generator a sense of gravity? A ground-up walkthrough of Puffin-World's Omni-Camera representation and physics propagation, with equations and interactive figures.
02
·★ MEMBER·PAPER·14 min read
SolarWM: Training on 5 Seconds, Walking for an Hour — and Opening the Whole Stack
A data engine that folds 10 datasets into 1.43M clips under one contract, plus a three-stage recipe that adapts four different video backbones without erasing them. The causal models roll out for minutes to hours after training on 5-second sequences alone.
03
·Agents·★ MEMBER·PAPER·12 min read
Paper Walkthrough: ZimaBlue — Turning 120,000 Hours of Egocentric Video into Robot Skill
A ground-up walkthrough of the World Action Model that converts 120,000 hours of action-free egocentric video into robot control: a three-stage curriculum, a 100-D unified action interface, and an asynchronous Slow-Fast pair that takes zero-shot success from 36.1% to 77.8% at a 33 ms control loop.
04
·Time Series·★ MEMBER·PAPER·12 min read
H3-World, Explained — Turning Language Understanding into World Control
How to turn a 33B video generator into a controllable world model without bolting on an action module: express actions as sentences, bind each sentence to a video-latent interval, and use attention routing to stop the crosstalk. Only 0.199% of parameters are trained.
05
·Agents·★ MEMBER·PAPER·14 min read
Paper Walkthrough: Code World Model — Putting a Coding Agent in Charge of the World
A ground-up reading of Code World Model, which hands the *evolution* of a world to executable code and its *appearance* to a video model — including the proxy interface that joins them, and the limits the authors admit to.
06
·Agents·★ MEMBER·PAPER·13 min read
Paper Walkthrough: Code as Worlds — An Agent That Writes the World Down as Runnable Code
A close read of Code-as-World, which represents physical worlds as executable code and searches for world hypotheses through a propose–execute–render–verify loop. The three parts of an EWR, the agentic discovery loop, the QuantiPhy results, and the limits the paper itself admits.
07
·★ MEMBER·PAPER·13 min read
Paper Walkthrough: GameWAM — Generating the Next Frame and the Next Keystroke Together
A ground-up walkthrough of the first World–Action Model for native closed-loop game and GUI control: how it plans 16 actions but commits only 8, and how low-frequency noise in the sampled action source quietly spins the camera.
08
·Training & Alignment·★ MEMBER·PAPER·10 min read
PAWBench Explained — Can Video Generators Get the Odds Right, Not Just the Physics?
If a video generator is a world model, it owes you more than one plausible rollout — it owes you the right distribution over futures. PAWBench measures that probabilistic alignment across 50 scenarios and 11 systems, and finds that no model gets all the requirements at once.
09
·Paper Deep-Dives·★ MEMBER·PAPER·13 min read
Paper Walkthrough: Turning Game Development into a Verifiable Trajectory Data Engine — RLHEV and AWoMo
A paper arguing that what world models lack is not data or compute but cheap grading. We work through RLHEV — post-training on game-engine checks fused with developer accept/reject decisions — from first principles to equations, interactive figures, and the reported numbers.
10
·Large Language Models·★ MEMBER·PAPER·10 min read
Scaling Skepticism — A Genealogy of the "Just Make It Bigger" Critique
A fair accounting of the case against "more parameters, more data" — data exhaustion, the reasoning wall, and the world-model dispute. The evidence for scaling gets the same scrutiny as the evidence against it, and every claim comes with the observation that would settle it.
11
·★ MEMBER·PAPER·10 min read
Paper Walkthrough: GigaBrain-0.7 — 37,000 Hours of Embodied Experience and a Three-System Robot Brain
A ground-up walkthrough of GigaBrain-0.7, which splits a robot foundation model into understanding, prediction/evaluation, and action, then pretrains it on 37,256.98 hours of embodied data in a single stage. Covers subgoal-image and progress-value conditioning, Soft Knowledge Insulation, and the real-robot numbers — strictly from the paper.
12
·★ MEMBER·PAPER·14 min read
Paper Walkthrough: EchoWM — A World You Can Walk Into, and Hear, Driven by Camera Intent
Hand it a reference view and a stream of 'where I want to go', and it keeps generating 720p video together with environmental sound, music and speech. A walkthrough of EchoWM from the paper itself: one camera-intent interface for both first and third person, a single translation scale shared across the whole dataset, and the sink-plus-FIFO cache that makes long rollouts possible.
13
·CNNs & Image Recognition·★ MEMBER·PAPER·10 min read
Paper Walkthrough: PhiZero — A World Model That Reasons in a Language of Physics Before It Renders
A close read of PhiZero, which reasons about how the world will change in a discrete 'physical language' learned self-supervised from video, and only then renders the footage — instead of predicting pixels directly. The two-stage tokenizer and reasoner, the top spot on Physics-IQ Verified, zero-shot motion transfer, and the limitations the paper itself admits.
14
·Agents·★ MEMBER·PAPER·9 min read
Paper Walkthrough: Mental World Modeling — A World Model That Advances Minds, Not Just Physics
You can track a scene's physics perfectly and still get the next human action wrong. A walkthrough of Mental World Modeling (MWM), which carries beliefs, intentions, emotions and norms as state variables so that every action updates physics and mind together — plus Mentis, the training-free baseline, and its numbers across eight models, straight from the paper.
15
·Agents·★ MEMBER·PAPER·11 min read
Paper Walkthrough: ComBodied Agents — Moving an Agent's Target from Software and Matter to the Person
Digital agents rewrite software state; embodied agents rewrite physical state. So who models the person? Combodied Agents bind perception, longitudinal memory, a Personal World Model, and an intervention policy into one closed loop, and move the success criterion from task completion to whether the user's agency survived. A position paper with no experiments — here is its skeleton, and its limits.
16
·Paper Deep-Dives·★ MEMBER·PAPER·11 min read
Paper Walkthrough: WorldClaw — Agents That Build Walkable, Editable 3D Open Worlds from a Single Sentence
Type 'a tropical pirate stronghold' and get a large-scale 3D world you can walk through — with every building still an editable, standalone asset. A walkthrough of Tencent Hunyuan's WorldClaw, from its plan → terrain → regional-objects pipeline to the render-and-inspect loops where agents check their own work.
17
·Agents·★ MEMBER·PAPER·8 min read
Paper Walkthrough: EnvACE — Agents That Rehearse the World Instead of Calling It
EnvACE trains a tool-using LLM agent without ever calling an external environment: the same policy alternates between acting and playing the environment. We walk through role-wise GRPO, test-time private rehearsal, results on four agent benchmarks, and the limitations.