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Spatial intelligence

The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian

The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian

Andrew Dai discusses how current frontier models struggle with visual reasoning, often hallucinating or failing to understand spatial relationships and context. He highlights limitations of existing benchmarks and proposes a 'visual thinking' paradigm, exemplified by Elorian's approach using native visual chain of thought, new data, and architectural advances to tackle real-world challenges in robotics, construction, and mechanical design.

Why World Models Could Change Robotics, 3D, and Creativity

Why World Models Could Change Robotics, 3D, and Creativity

World Labs co-founders discuss Atlas, their frontier world model centered on "new view prediction." This paradigm unifies 3D generation and reconstruction, enabling precise spatial understanding from sparse inputs. The conversation covers its multimodal architecture, the shift from dense to sparse reconstruction, and its profound implications for creative industries, architecture, and particularly robotics, where it addresses critical data scarcity challenges for simulation and policy learning.

The Next Frontier of AI Is Spatial Intelligence | Fei-Fei Li on a16z

The Next Frontier of AI Is Spatial Intelligence | Fei-Fei Li on a16z

Fei-Fei Li and Yunzhu Li discuss World Labs' acquisition of SceniX, focusing on building "spatial intelligence" and "large world models" to enable robots to understand and interact with the physical world. They elaborate on SceniX's "real-to-sim-to-real" pipeline, emphasizing how simulation, coupled with generative models like Marble, addresses the data bottleneck in robotics by providing consistent, scalable, and efficient training and evaluation environments. The conversation covers the role of counterfactual reasoning, the development of robotics foundation models, and the strategic focus on semi-structured environments for pragmatic, reliable robot deployment.

The Godmother of AI on jobs, robots & why world models are next | Dr. Fei-Fei Li

The Godmother of AI on jobs, robots & why world models are next | Dr. Fei-Fei Li

Dr. Fei-Fei Li discusses the history of AI, from the creation of ImageNet that sparked the deep learning revolution to the future of AI with spatial intelligence and world models. She introduces 'Marble', the first large world model, and explains its potential to unlock new frontiers in robotics, virtual production, and scientific discovery, all while emphasizing a human-centered approach to technological advancement.

No Priors Ep. 138 | The Best of 2025 (So Far) with Sarah Guo and Elad Gil

No Priors Ep. 138 | The Best of 2025 (So Far) with Sarah Guo and Elad Gil

A recap of key conversations from the No Priors podcast in 2025, featuring insights from leaders at OpenAI, Harvey, and the Center for AI Safety on topics ranging from reasoning models and spatial intelligence to the geopolitical risks of superintelligence and the human impact of AI in healthcare.