Tesla's Dojo, a timeline | TechCrunch
Briefly

Elon Musk aims for Tesla to evolve into an AI company capable of full self-driving vehicles using its Dojo supercomputer. While Tesla's Full Self-Driving (FSD) system currently requires driver supervision, Musk believes advanced data analytics and processing power can lead to full autonomy. The Dojo supercomputer is pivotal for training FSD neural networks, especially as Tesla faces declining EV sales and investor pressures to deliver on its autonomy promises. Despite the introduction of another supercomputer, Cortex, Dojo remains crucial for Tesla’s ambitions in the automotive AI space.
Musk has been teasing Dojo for some time, but the executive ramped up discussions about the supercomputer throughout 2024.
Tesla thinks with more data, more compute power and more training, it can cross the threshold from almost self-driving to full self-driving.
During the event, Musk teases Dojo, revealing that it's a supercomputer for training AI.
Dojo's importance to Tesla might still be existential - with EV sales slumping, investors want assurances that Tesla can achieve autonomy.
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