The Abduction Gap: Why LLMs Cannot Leap to New Scientific Axioms
LLMs cannot achieve true scientific breakthroughs because they lack the physical sensory grounding required for abductive reasoning and axiom formation.
AI systems that learn to simulate and predict the dynamics of environments, including physics, interactions, and spatial consistency, enabling real-time generation of interactive worlds and applications in robotics, gaming, and AGI research.
LLMs cannot achieve true scientific breakthroughs because they lack the physical sensory grounding required for abductive reasoning and axiom formation.

FLUX 3 demonstrates that a single multimodal foundation model can master both high-quality media generation and real-world robotic control by learning a unified representation of physical reality.

Gemini Omni is a conversational AI model that enables sophisticated video creation and editing by combining multimodal inputs with real-world reasoning.

ARC-AGI-3 is an interactive benchmark designed to measure AGI by testing an agent's ability to learn and adapt as efficiently as a human.

Google’s Project Genie lets AI Ultra users create and explore real-time, interactive worlds powered by the Genie 3 world model.
World models now mean assets, simulators, or brains—three different layers of the same aim to give machines structured understanding beyond next-token prediction.

An open-source, world-consistent RGB-D video generator that turns a single image into controllable, long-range 3D scene explorations with state-of-the-art performance.

AI is chasing coherent internal world models to move beyond brittle heuristics and achieve robust, reliable reasoning.