Tesla

Elon's Former Battery Chief on Making Transformers 100x Smaller | Drew Baglino, Heron Power

Elon's Former Battery Chief on Making Transformers 100x Smaller | Drew Baglino, Heron Power

Drew Baglino, former Tesla Powertrain & Energy head and now CEO of Heron Power, reveals why the current electricity grid is inadequate for the explosive growth of AI data centers. He explains how Heron Power's wideband gap power semiconductors will revolutionize grid-to-chip infrastructure, cutting power losses by half, shrinking massive transformers by 100x, and transforming data centers into grid-positive assets for a more efficient and sustainable energy future.

The Founders Who Left Tesla to Rebuild America | a16z

The Founders Who Left Tesla to Rebuild America | a16z

Erin Price-Wright, Turner Caldwell (Mariana Minerals), and Drew Baglino (Heron Power) discuss closing America's critical minerals gap and modernizing the power grid for the AI economy. They cover how automation, reinforcement learning, and lessons from Tesla can accelerate mining, refining, and grid infrastructure development to compete with China and enable re-industrialization.

What Tesla and SpaceX Teach Founders About Building Hardware | a16z

What Tesla and SpaceX Teach Founders About Building Hardware | a16z

Ex-Tesla and SpaceX engineers Chandler Luzsicza and Turner Caldwell share the practical lessons they learned about building complex hardware and how they apply them at their own startups. They cover core principles like decision velocity, strategic vertical integration, managing the critical path without creating new bottlenecks, and using aggressive milestones as a forcing function to reveal true priorities. The discussion also delves into the value of a 'factory mindset,' the importance of a rigorous hiring process, and advice for young engineers.

The Economics of Robotaxis: Are We There Yet?

The Economics of Robotaxis: Are We There Yet?

A discussion on the evolving economics of autonomous vehicles, driven by end-to-end AI, and the growing local opposition to AI data centers due to concerns over resources like water, electricity, and noise.