OpenAI Blog
Feb 15, 2018
Interpretable machine learning through teaching
We’ve designed a method that encourages AIs to teach each other with examples that also make sense to humans.
Teaching AI to see the world more like we do
Our new paper analyzes the important ways AI systems organize the visual world differently from humans.
Related stories
Hugging Face Trending Papers
Jul 7
A Definition and Roadmap for World Models
World models -- internal simulators that learn the structure and dynamics of an environment -- have become one of the most actively debated concepts in AI. From model-based reinforcement learning and video generation to embodied robotics and ultimately, physical AI, researchers across AI subfields are building systems that they call "world models", yet there is no consensus on what a world model fundamentally is, what it should predict, or how it should be built.
DeepMind Blog
Oct 24, 2025
Using AI to perceive the universe in greater depth
Using AI to perceive the universe in greater depth
DeepMind Blog
May 20, 2025
Our vision for building a universal AI assistant
We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of the world.
DeepMind Blog
Nov 5, 2025
Mapping, modeling, and understanding nature with AI
AI models can help map species, protect forests and listen to birds around the world
arXiv AI
Jul 8
A Definition and Roadmap for World Models
arXiv:2607. 06401v1 Announce Type: new Abstract: World models -- internal simulators that learn the structure and dynamics of an environment -- have become one of the most actively debated concepts in AI.
OpenAI Blog
Aug 27, 2025
Collective alignment: public input on our Model Spec
OpenAI surveyed over 1,000 people worldwide on how AI should behave and compared their views to our Model Spec. Learn how collective alignment is shaping AI defaults to better reflect diverse human values and perspectives.
arXiv AI
Jul 10
Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction
arXiv:2607. 08233v1 Announce Type: new Abstract: A central challenge in building intelligent systems is enabling agents to jointly perceive complex inputs, form hypotheses about hidden patterns, and design informative experiments to test them.
DeepMind Blog
Oct 24, 2025
Exploring the context of online images with Backstory
New experimental AI tool helps people explore the context and origin of images seen online.
OpenAI Blog
Jan 30, 2025
Strengthening America’s AI leadership with the U.S. National Laboratories
OpenAI’s latest line of reasoning models will be used by nation’s leading scientists to drive scientific breakthroughs.
DeepMind Blog
Oct 24, 2025
AlphaEarth Foundations helps map our planet in unprecedented detail
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring
DeepMind Blog
Jan 29
Project Genie: Experimenting with infinite, interactive worlds
Google AI Ultra subscribers in the U. S.