Seonglae ChoCloudification of Transportation
There are too many repetitive tasks happening across all companies, so it's necessary to share and divide the work among them
Tesla uses expensive sensors during training time and distilling that into vision only model. Scaling hardware problems is much harder than software problems. Large amount of human data and expensive sensory data is done for each pre-training and fine-tuning.
For fully autonomous driving to be commercially viable, it must demonstrate significantly higher safety levels than human driving. To achieve this, LiDAR sensors are essential. The argument that cameras alone are sufficient because humans drive with vision only may be flawed without demonstrating overwhelmingly superior safety performance.
Autonomous Driving Intensions
Autonomous Driving Extensions
Andrej Karpathy Tesla FSD
No Priors Ep. 80 | With Andrej Karpathy from OpenAI and Tesla
Andrej Karpathy joins Sarah and Elad in this week of No Priors. Andrej, who was a founding team member of OpenAI and the former Tesla Autopilot leader, needs no introduction. In this episode, Andrej discusses the evolution of self-driving cars, comparing Tesla's and Waymo’s approaches, and the technical challenges ahead. They also cover Tesla’s Optimus humanoid robot, the bottlenecks of AI development today, and how AI capabilities could be further integrated with human cognition. Andrej shares more about his new mission Eureka Labs and his insights into AI-driven education and what young people should study to prepare for the reality ahead.
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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Karpathy
Show Notes:
0:00 Introduction
0:33 Evolution of self-driving cars
2:23 The Tesla vs. Waymo approach to self-driving
6:32 Training Optimus with automotive models
10:26 Reasoning behind the humanoid form factor
13:22 Existing challenges in robotics
16:12 Bottlenecks of AI progress
20:27 Parallels between human cognition and AI models
22:12 Merging human cognition with AI capabilities
27:10 Building high performance small models
30:33 Andrej’s current work in AI-enabled education
36:17 How AI-driven education reshapes knowledge networks and status
41:26 Eureka Labs
42:25 What young people study to prepare for the future
https://www.youtube.com/watch?v=hM_h0UA7upI
[특집/미국 자동차주 총정리] 전기차와 자율주행의 콜라보 (RyanY의 빌리언스)
Dollar Dollar Bill Y'all 현재 내연기관을 필두로 한 기존 자동차 산업은 점점 규모가 줄어들고 있다.이는 지금까지 살펴본 한국의 현대차, 중국의 니오(NIO), 일본의 도요타(TM), 독일의 폭스바겐, BMW, 벤츠, 미국의 테슬라, 제너럴 모터스(GM), 포드(F)를 공부해오며 충분히 알아보았다고 생각한다.각 종목에 대한 상세한 분석은 아래 링크를 통해 볼 수 있으니, 참고 바란다.
![[특집/미국 자동차주 총정리] 전기차와 자율주행의 콜라보 (RyanY의 빌리언스)](https://t1.daumcdn.net/tistory_admin/static/top/favicon_0630.ico)
https://ryanydollardollarbill.tistory.com/entry/%ED%8A%B9%EC%A7%91%EB%AF%B8%EA%B5%AD-%EC%9E%90%EB%8F%99%EC%B0%A8%EC%A3%BC-%EC%B4%9D%EC%A0%95%EB%A6%AC-%EC%A0%84%EA%B8%B0%EC%B0%A8%EC%99%80-%EC%9E%90%EC%9C%A8%EC%A3%BC%ED%96%89%EC%9D%98-%EC%BD%9C%EB%9D%BC%EB%B3%B4-RyanY%EC%9D%98-%EB%B9%8C%EB%A6%AC%EC%96%B8%EC%8A%A4
![[특집/미국 자동차주 총정리] 전기차와 자율주행의 콜라보 (RyanY의 빌리언스)](https://img1.daumcdn.net/thumb/R800x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdn%2FcJTXvC%2FbtqMdVSTpTo%2F5lA7EdvkSuKREoW3RuiXYk%2Fimg.jpg)
www.evpost.co.kr
https://www.evpost.co.kr/wp/%EC%9E%90%EC%9C%A8%EC%A3%BC%ED%96%89%EC%B0%A8%EC%97%90-%EC%A0%95%ED%99%95%ED%95%9C-%EA%B8%B8-%EC%A0%95%EB%B3%B4%EB%8A%94-%ED%95%84%EC%88%98/?fbclid=IwAR0APaxleFQIIL6eChdqzVhw9Ld_AftrUgH1SLkgV2P0tMdeGPCxrKxlWmI
Bycicle
A Self-Driving Bicycle Is Something To Marvel At
One of the most annoying things about bicycles is that they don't stay up on their own, especially when they're stationary. That's why they come with stands, after all. That said, if you had plenty of advanced electronic and mechanical equipment fitted to one, you could do something about that, and that's just what [稚晖君] did.
https://hackaday.com/2021/06/10/a-self-driving-bicycle-is-something-to-marvel-at/?utm_source=tldrnewsletter
