Deng Simiao was sent from the Vice Pilot Temple
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Andrej Karpathy, Tesla's AI director and Musk's humerus, was rarely put on leave, or a 4-month long vacation.
Netizens have expressed concern because before this, Tesla's senior engineer Doug Field took more than a month off and never returned.
If Karpas were gone, Tesla's Autopilot and FSD would undoubtedly be greatly affected.
Probably also worried about this, Musk simply tweeted the news and clarified the truth - Karpass is really just taking a vacation.
Karpas himself said that this period was just for a good rest and relaxation, looking forward to a quick return to work.
Who is Andre kappas?
Andrey Karpas, born in Czechoslovakia in 1986, moved with his family to Toronto, Canada at the age of 15.
Karpasia's education experience is very rich, and he has been studying all the way to two different countries and three different universities. He graduated from the University of Toronto with a bachelor's degree in computer science and physics in 2009, a master's degree in computer science from the University of British Columbia in 2011, and a ph.D. in computer science from Stanford University in 2016.
After graduating with a master's degree, Karpas interned at Google for a period of time, mainly engaged in unsupervised deep learning, supervised deep learning, computer vision and other related jobs.
During his Ph.D. at Stanford University, Karpass studied under Professor Feifei Li of the Stanford Vision and Learning Laboratory. Later, Karpass also served as an instructor for the university's deep learning program, the first time in history at Stanford, that he designed and taught himself, entitled "CS231n: Convolutional Neural Networks for Visual Recognition." The number of people attending the class has increased, from 150 in 2015 to 750 in 2017.
Nearing his Ph.D., in January 2016, Karpas joined Musk's founded OpenAI as one of the founding members of the company, initially recruiting employees and later working as a research scientist in the company, responsible for generative models of deep learning and deep reinforcement learning.
You know, OpenAI is a non-profit artificial intelligence research organization, the purpose is to promote and develop artificial intelligence for the benefit of mankind.
At the beginning of its establishment, it was to benchmark DeepMind, and later it did produce sensational AI achievements such as GPT-3.
After joining Tesla
After a year and a half at OpenAI, Karpass joined Tesla and has until now served as Tesla's head of artificial intelligence, deep learning and computer vision specialist, leading Tesla's Autopilot computer vision team.
AI vision, at Tesla, is crucial for the fully autonomous driving function of the FSD. This set of vision systems can process the video data collected by 8 cameras to make a high-definition three-dimensional map, which can be used to reflect the speed and direction of people and things around them.
So, what exactly does this team do?
Focus on data collection and neural network training, among others. First of all, data collection work is needed, such as internal data labels, custom label interfaces, etc.; the second is to train neural networks; the third is to find a way to make it work, such as segmentation, detection, 3D/depth prediction, etc.; the fourth is to arrange the production and manufacturing deployment of chips.
"Today, Autopilot has improved the safety and convenience of driving to some extent, but our team's goal is to accelerate the development of FSD capabilities and deploy them to millions of our own vehicles," Karpas said. ”
In short, Karpass is like Musk's left arm, affecting Tesla's autopilot and the future and direction of various AI products.
For now, Tesla's Autopilot has not done a good job, and the U.S. Highway Traffic Administration has identified at least 12 major traffic accidents related to Autopilot.
And on Saturday, the Tesla FSD Beta was launched in Canada, marking the expansion of FSD functionality outside the United States.
It is worth mentioning that Musk also announced that it plans to launch its "Optimus Prime" humanoid robot Tesla Bot in 2023, that is, next year.
Therefore, why a vacation is so concerned, mainly the time and duration, which is a bit of a fantasy.
Why take time off during critical periods?
Karpasia himself gave the reason, saying that the reason for taking a vacation was mainly for two purposes:
One is to take a good rest and relax and travel by the way; the other is to take some time to improve yourself.
On Twitter, he wrote: "I've been working at Tesla for nearly five years, and now I want to take a break and travel." During this time, I can focus on self-improvement, such as enhancing my technical advantages and training neural networks. Although I miss Tesla's robots and the Dojo supercomputing cluster, I can't wait to see them! ”
On Karpas' update, he tweeted: "I'm on a 'digital nomad' trip right now, packing my bags and heading east, saying hello to friends along the way, reading Paper, tapping code or something. Now still in the UK, then go to Europe, Asia, and finally back to the San Francisco Bay Area. ”
In short, "I'll go back to Tesla." ”
What is your goal after returning from vacation?
After returning from a four-month sabbatical, Karpass had two important projects to complete.
One is that the deployment of the Dojo supercomputer will be operational next year.
This computer will set a world record, replacing Japan's "Fugaku" as the world's fastest supercomputer.
The supercomputer can store vast amounts of video data and then use that data to train autonomous neural networks, all designed to speed up the process of Autopilot and FSD.
Another is to update the hardware of FSD and launch the 4.0 version, which can reach 4 times the original 3.0 version, and can be assembled into Tesla's Cyberruck in the future.
Version 2.5 was launched in 2017 and version 3.0 was launched in 2019, 3 years have passed since the last version update.
When it comes to this 4.0 version, Musk said he hopes it can drive safely, even better than humans. But at this stage, it is still constantly improving, and I hope to develop more powerful computers in the future.
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