Robotics

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Nathan Labenz argues that AI progress is not slowing down but is instead manifesting in less obvious but more powerful ways, such as advanced reasoning and multimodal capabilities. He deconstructs the debate around GPT-5's perceived impact, highlights the revolutionary potential of AI agents in science and engineering, and discusses the tangible effects on job automation. The conversation also explores the rise of robotics, the challenges of emergent AI behaviors like reward hacking, and concludes with a call for a collective, positive vision to steer this transformative technology.

Fully autonomous robots are much closer than you think – Sergey Levine

Fully autonomous robots are much closer than you think – Sergey Levine

Sergey Levine, co-founder of Physical Intelligence, outlines the path to general-purpose robots, predicting a 'self-improvement flywheel' could lead to fully autonomous household robots by 2030. He discusses the architecture of vision-language-action models, the critical role of embodiment in solving the data problem, and how robotics will scale faster than self-driving cars.

Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI

Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI

Thomas Wolf, co-founder of Hugging Face, details the LeRobot project, aiming to replicate the success of Transformers in the robotics domain. He discusses the vision of creating a massive open-source community, tackling data scarcity, and the future of physical AI hardware, arguing that we are at a key inflection point for robotics similar to where LLMs were years ago.

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

Google DeepMind researchers Jack Parker-Holder and Shlomi Fruchter detail the creation of Genie 3, a model that generates interactive, persistent worlds from text in real time. They cover its breakthrough spatial memory, emergent physical intuition, and its potential to revolutionize gaming, robotics, and AI agent training.

Marc Andreessen: The US is in a AI Arms Race & It Decides The World's Future

Marc Andreessen: The US is in a AI Arms Race & It Decides The World's Future

Marc Andreessen and Joe Lonsdale discuss how AI and robotics present a pivotal opportunity to re-industrialize the United States, reversing decades of policy choices that led to slower growth and a deep urban-rural divide. They argue for a future focused on advanced manufacturing of robots and AI-powered hardware, tackling the 'cost disease' in healthcare and education, and rethinking policies on immigration and regulation to unlock the country's full potential.

Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence

Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence

Quan Vuong and Jost Tobias Springenberg from Physical Intelligence (PI) discuss their mission to create a universal model for controlling any robot. They detail their approach, which centers on Vision-Language-Action (VLA) models, a purpose-built data engine for scaled data collection, and the evolution of their models toward open-world generalization.