25 stories tagged with #world-models, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Yann LeCun: World Models: Enabling the Next AI Revolution
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.…
Yann LeCun’s paper reveals conditions for LeJEPA to learn world models
Yann LeCun's new paper establishes the exact conditions under which LeJEPA can learn true world models, proving Gaussian latent variables enable linear identifiability.…
Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
Large language models achieve strong performance in language generation and knowledge-intensive tasks, yet remain limited in settings requiring causal reasoning, persistent state t…
Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
Large language models (LLMs) are promising for autonomous driving, but semantics-only decision policies can yield physically unsafe behavior in dynamic traffic. Existing methods ei…
Google DeepMind CEO Demis Hassabis says language models can’t understand reality, pushes for ‘world models’
Google DeepMind CEO Demis Hassabis says LLMs fail at physics and causality, advocates world models as the path to AGI, and showcases Genie 3 project.…
Roundtables: Can AI Learn to Understand the World?
Watch a subscriber-only discussion exploring how AI might enter the physical world.…
After AI Healthcare, Medical World Models May Be the Next Life-Science AI Platform
Subtitle: A system-design view of moving from risk prediction to intervention simulation** Over the...…
Google I/O, World Models, I/O Spaghetti
Google I/O put AI everywhere, for better and for worse. Meanwhile, is DeepMind aligned with Google's business objectives?…
PROWL: Prioritized Regret-Driven Optimization for World Model Learning
Modern action-conditioned video world models achieve strong short-horizon visual realism, yet remain unreliable on rare, interaction-critical transitions that dominate downstream p…
Composition of Memory Experts for Diffusion World Models
World models aim to predict plausible futures consistent with past observations, a capability central to planning and decision-making in reinforcement learning. Yet, existing archi…
Transformers Linearly Represent Highly Structured World Models
Do transformers, when trained on sequential reasoning traces, build internal models of the underlying task? And if so, does the structure of those internal representations mirror t…
Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
Executable world models can be read, edited, executed, and reused for planning, but only if the program captures the environment's transition law rather than semantic shortcuts in …
Beyond Medical AI and AI Drug Discovery: Why Biomedicine Needs World Models
Over the past decade, AI in medicine has mostly moved through two major waves. The first wave was...…
Imperfect World Models are Exploitable
We propose a novel definition of model exploitation in reinforcement learning. Informally, a world model is exploitable if it implies that one policy should be strictly preferred o…
Deterministic Event-Graph Substrates as World Models for Counterfactual Reasoning
We study event-graph substrates: a class of world models that represent agent state as an append-only log of typed RDF triples and answer counterfactual queries by forking the log …
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
We tackle the challenge of building embodied AI agents that can reliably solve long-horizon planning problems. Imitation learning from demonstrations has shown itself to be effecti…
Latent Video Prediction Learns Better World Models
Self-supervised video models are increasingly framed as world models, yet their evaluation remains largely confined to a single top-1 accuracy score on clean benchmarks. This leave…
DiLA: Disentangled Latent Action World Models
Latent Action Models (LAMs) enable the learning of world models from unlabeled video by inferring abstract actions between consecutive frames. However, LAMs face a fundamental trad…
A Gentle Introduction to World Models
Understanding What Might Be the Next Frontier in AI…
World Models for Planning Agents
Michal Pandy…
World models, AGI and the hard problems of life–mind continuity
What Is JEPA? Joint Embedding Predictive Architecture Framework Prediction
TLDR:Learn about Jepa (Joint Embedding Predictive Architecture), Yann LeCun’s framework for stable AI predictions in latent space without……
The world model that every AI godfather is racing to figure out
The researchers who built modern AI say it’s still missing something fundamental. Goldman Sachs explains what it is—and why the answer could reshape everything.…
Stera: Open-Source Infra That Turns iPhones into Spatial Data for World Models
'World models' are AI's latest sensation: what are they and what can they do?
Training AI world models on data about physical environments could improve their real-world capabilities in technologies such as robotics.…