Andrej Karpathy, Tesla’s Director of Artificial Intelligence and Autopilot Vision, is one of the chief architects of Tesla’s self-driving vision. In July, he hosted a workshop on Neural Network Multi-Task Learning, where he offered some detailed insights on Tesla’s use of AI in developing its Autopilot features. Now Karpathy is featured in a new video in which he describes how Tesla is using PyTorch, an open-source machine learning library, to develop full self-driving capabilities for its vehicles, including Navigate on Autopilot and Smart Summon
Elon Musk and the Tesla software team are aiming to roll out all of the features of its Full Self-Driving package by the year-end, a tough goal but one that should be achievable with a little margin here and there. The latest version of the Tesla firmware update shows that the cars can now detect traffic cones
Bloomberg’s Tesla Model 3 survey finds 90% of owners feel safer because of Autopilot but only 41% believe the Smart Summon feature is useful for most drivers.
Okay, so I’m sitting in the car waiting for my whole family (husband and two little girls) to come back from a quick stop for shopping. The car is plugged in and charging at a Tesla Supercharger (thank you to buyers who used our referral code). My husband came up with a funny phrase to describe a “park & plug” state, which is “plark.” So, you could say I’m sitting in a “plarked” car in a Tesla “plarking lot.”