open-world

This paper proposes ReNC, a method for open-world test-time adaptation that leverages neural collapse as a structural prior to filter out-of-distribution samples and refine prototypes for reliable model adaptation.

LiveHouse-TS introduces an open-world living benchmark infrastructure for continuously evaluating time series foundation models on real future data, shifting from static benchmarks to capture real-world dynamics.

WorldClaw enables agentic 3D open-world generation at scale, using AI agents to create expansive virtual environments.

WorldClaw is an agentic coarse-to-fine framework that generates large-scale, explorable 3D open worlds from text prompts, using planning agents and terrain-conditioned composition to produce coherent global structure and editable instance-level assets.

Palworld is expanding to mobile with Palworld Online, a new open-world MMORPG developed by Garena, launching later this year for iOS and Android with crafting, creature collecting, and multiplayer features.

Presents SciToolAgent-Evo, an ontology-aware self-evolving LLM agent for open-world scientific tool acquisition, along with the OpenSciToolBench benchmark of 900 realistic tasks. The agent uses an evolving memory and LinUCB-based bandit gate to dynamically explore and acquire novel tools.

A gamer speculates about when AI will truly transform video games, imagining NPCs with memory and dynamic worlds, and wonders if the next decade could bring the biggest change in gaming history.

A developer built a full 3D open-world racing game with AI assistance, detailing where AI excelled (boilerplate, isolated systems) and where it failed (spatial reasoning, system integration, game feel). The game is live with real daily players.

Introduces InfiniteDiffusion, a training-free algorithm that enables diffusion models to generate unbounded, seed-consistent terrain with constant-time random access, bridging learned fidelity and procedural utility. The Terrain Diffusion framework demonstrates interactive-rate realistic terrain generation with Earth-scale dynamic ranges.

Palworld has officially launched version 1.0, introducing a new island, 72 new Pals, and major system overhauls.

A Twitter user speculates that GTA 7 will feature NPCs with advanced AI behaviors, making the game world feel alive with organic interactions and emergent storytelling.

This paper introduces OpenAgent, a problem setting for tool-use agents in open-world scenarios with distributional shifts, and proposes Perturbation-Augmented Fine-Tuning to improve robustness. Experiments reveal that both SFT and RL agents degrade under environmental shifts.

This paper introduces OpenLife, a proof-of-concept system that uses autonomous LLM agents with persistent memory and budget-based metabolism to realize open-world artificial life. Experiments over twelve weeks show emergent life-like dynamics including spontaneous activity, individuation, and social structure.

Google's Genie 3 can generate a playable open world from a text prompt or image, but it's currently rough with low framerate and bugs, sparking debate on whether it threatens traditional game development or will plateau as a demo.

OpenSkill is a framework for LLM agents to self-evolve skills and verification signals from open-world resources without target-task supervision, achieving high performance across benchmarks.

AFUN proposes an affordance foundation model that predicts functional masks and 3D motion curves from RGB-D observations and language descriptions, enabling generalizable robot manipulation across diverse environments. The model outperforms baselines on multiple benchmarks and can be deployed for real-world tasks without fine-tuning.

AgentCo-op is a retrieval-based synthesis framework for composing interoperable multi-agent workflows from reusable skills, tools, and external agents. It uses typed artifact handoffs and bounded self-guided local repair, achieving strong results on benchmarks and enabling collaborative discovery in open-world genomics tasks.

GROW proposes a novel reinforcement learning framework that adapts GRPO to multi-turn VLM agent tasks by decomposing trajectories into state-action pairs and computing advantages between them, achieving state-of-the-art performance on over 800 Minecraft tasks.

The article provides a detailed analysis of how Rockstar achieved a seamless open world in GTA III on the PlayStation 2 with only 32MB of RAM through streaming loading, LOD, memory fragmentation management, and disc layout optimization, setting a benchmark for the industry.