Everyone views Tesla as an automotive company and, based upon their revenues, this makes sense. However, it is probably a mistake to think of it solely in those terms.
In this video I discuss a conversation Lex Friedman had with the ex head of self driving from Tesla. He provided some insights as to why Tesla is far ahead of others.
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I agree that Tesla is ahead of others but I don't even know if you can build a program that can work like a human. It just seems like a really heavy task and I wonder if some of the updates to self-driving might not be tested enough.
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Thanks for the video!
I didn't make the video so I think you commented to the wrong person.
Summary:
In this video, the speaker discusses Tesla's potential as an AI company rather than just a car company. He highlights the importance of Tesla's energy division and emphasizes the lead Tesla has in AI technology for self-driving vehicles. The speaker references an interview with a former head of Tesla's self-driving division, analyzing Tesla's approach compared to competitors like Waymo. He also delves into the significance of having extensive and clean data for AI development and training. The discussion touches on Tesla's progress with self-driving capabilities and the future expansion of the full self-driving beta to more users.
Detailed Article:
The video starts with the speaker challenging the common perception of Tesla as solely a car company, arguing that there are other lucrative avenues within the company, such as the energy division and AI technology. The speaker mentions a recent interview with a former Tesla self-driving division head on Lex Friedman's show, where insights about Tesla's AI approach and lead in the industry were discussed. The importance of Tesla's vast amount of data for AI development is highlighted, emphasizing the need for clean and extensive data to train the self-driving system effectively.
The speaker contrasts Tesla's approach to self-driving with competitors like Waymo, pointing out that Tesla's system does not rely heavily on up-to-date mapping, a factor that could limit other companies in dynamic environments. The discussion focuses on Tesla's strategy of allowing its self-driving program to learn and adapt similarly to how humans learn, mentioning the use of real-time data to train the system in challenging scenarios like navigating under overpasses.
There is also a mention of Tesla's upcoming plans to expand the full self-driving beta to a broader set of users, indicating a tiered ranking system based on driving habits. The video concludes with the speaker expressing optimism about Tesla's growth in the AI sector and the continuous evolution of its self-driving technology through the acquisition of more real-world data.
Overall, the video provides an in-depth analysis of Tesla's potential as an AI company, emphasizing the significance of data in developing advanced self-driving capabilities. The insights shared shed light on Tesla's unique approach to AI technology and its competitive edge in the autonomous driving market.