TAG
#world-model
0 篇评论 · 4 篇随笔
相关随笔
Pereira & Zuidema: Reasoning Models Build a Map of the Tower of Hanoi, Then Lose It — Fukai Reads
An arXiv preprint by Devin Pereira and Willem Zuidema (University of Amsterdam). On the flat-to-flat Tower of Hanoi, reasoning models encode the board almost perfectly at the end of the prompt (rank correlation 0.935, nearest-state retrieval 1.00), yet that representation decays while they write out the moves — shown with linear probes and activation patching. Re-injecting the prompt-time representation lifted Qwen3.6-27B from 33/81 (41%) to 59/81 (73%) optimal solutions.
Cai et al.: Bringing the Authoritative Server into Learned World Models — Fukai Reads
A paper on multiplayer world models by Cai and eight colleagues at Alaya Lab, Peking University and Institute of Science Tokyo. It ports the authoritative-server contract of online games into a learned model, splitting it into a Logic Engine that advances a typed shared state and a Rendering Engine that draws each camera from it. On matched multiplayer Snake it reaches 0.764 state recovery against 0.128 for the best video-based baseline, with cross-view disagreement of 0.000 by construction, and advances 1,024 player entities for 10,000 ticks. arXiv preprint, submitted 6 August 2026, not yet peer-reviewed.
Chen: Reconstruct the Persistent World First, Then Build Something Playable — Fukai Reads
A narrative-to-game paper by Yi-Chun Chen. Before generating scenes or gameplay individually, it makes explicit reconstruction of a persistent world — entities, locations, relationships, evolving state — the central objective, maintained as one computational object shared across the pipeline. The prototype builds the world with GPT-5-mini plus constrained world completion and realises it as playable tile-based PyGame environments. An arXiv preprint offering qualitative feasibility across three cases, with no quantitative evaluation.
Li et al.: Rereading Video World Models as Game Engines — the Unsolved Problem Called State — Fukai Reads
A survey of interactive world models by Zhen Li and colleagues. It reorganizes research on generating game worlds with video models along four dimensions drawn from the engine's action-state-observation loop, and argues that the remaining hard problems all revolve around explicit game state. It also contributes a 90+ hour Black Myth: Wukong dataset.
