Tony Zhao and Cheng Chi, co-founders of Sunday Robotics, discuss the state of AI robotics, framing it as being between a "GPT moment" (the core technology is known) and a "ChatGPT moment" (a scalable consumer product). They detail the key research, data collection innovations, and full-stack engineering required to build Memo, their general-purpose home robot designed to free humanity from chores.
Alex Kendall, CEO of Wayve, discusses the architectural shift from AV 1.0's hand-engineered robotics to AV 2.0's end-to-end deep learning. He explains how Wayve's generalization-first approach, powered by world models and diverse data, allows them to scale across hundreds of cities and multiple automotive OEMs, creating a path toward a general-purpose embodied AI foundation model.
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.
Dr. Michael Timothy Bennett challenges conventional AI paradigms, arguing for a new approach inspired by the principles of living systems. He critiques the separation of software and hardware ("computational dualism"), redefines intelligence as efficient adaptation, and offers a novel theory of consciousness as a "tapestry of valence" essential for genuine intelligence.
![DeepMind's Secret AI Project That Will Change Everything [EXCLUSIVE]](https://img.youtube.com/vi/ekgvWeHidJs/maxresdefault.jpg)
Google DeepMind's Genie 3 is a new generative interactive environment that creates photorealistic, controllable 3D worlds from text prompts in real-time. This summary explores its architecture, the concept of emergent consistency, and its primary application as a powerful simulator for training embodied AI agents.