Farzad & Hans Podcast Elon Just Revealed New AI Roadmap. No One Realizes What This Means with Jordan Giesige
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Aug 3, 2025 
Jordan Giesige, host of The Limiting Factor YouTube channel, shares insights into Tesla's groundbreaking partnership with Samsung, focusing on the future of AI and sustainable energy. The discussion covers advances in AI chip architecture, the evolving role of neural networks in vehicles, and the challenges of geopolitics on tech supply chains. Giesige emphasizes the synergy of AI and battery technologies, the implications of Tesla's innovations for energy solutions, and a humorous take on neurodiversity and health in leadership.
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Unifying AI Training and Inference Chips
- Integrated design of chips including processors, memory, and networking on a single substrate enhances efficiency and speed.
- Tesla aims to unify training and inference compute on the AI6 chip, leveraging Samsung's panel technology for Dojo 3.
Scalable AI6 Chip Use Cases
- One AI6 chip can be used in vehicles for inference while hundreds combine into a single panel for supercomputer training.
- This scalability offers modular chip deployment across Tesla's products and training systems.
Tighter Training and Inference Loop
- Future AI systems will tightly loop between training and inference, similar to human brain learning.
- Using the same processing unit for training and inference allows real-time updates and more efficient AI improvements.