- Published on February 28, 2024
- In AI Features
Why Did Tesla Build a ChatGPT for Vehicles?
The new AI system learns to drive by processing billions of video frames depicting human driving behaviour.
- By Tasmia Ansari
Soon after ChatGPT became an internet sensation, a comparable development was underway at Tesla's Palo Alto headquarters in December 2022. Dhaval Shroff, an engineer working on the company's autopilot system, pitched a concept to CEO Elon Musk. Shroff proposed a system similar to ChatGPT but tailored for automobiles.
Instead of relying on predefined rules to determine the car's optimal path, they aimed at using a neural network that learns from extensive training data. This data consisted of millions of examples of human driving behaviour, explained Shroff, a seasoned member of the Tesla team with a decade of experience.
Eight months later, Musk experienced an improvement in the performance of a Full Self-Driving (FSD) vehicle compared to the hundreds he had driven earlier. The smoothness and reliability were attributed to the new version, FSD 12, which introduced the new concept.
(Source: Elon Musk FSD 12 Livestream)
Musk believed that this innovation had the potential t
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Tasmia Ansari
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.
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