Autonomous Driving

Creator
Creator
Seonglae ChoSeonglae Cho
Created
Created
2020 Apr 30 14:11
Editor
Edited
Edited
2025 Oct 18 21:57
Refs
Refs
SLAM
GNSS

Cloudification 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. Sign up for new podcasts every week. Email feedback to [email protected] 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
No Priors Ep. 80 | With Andrej Karpathy from OpenAI and Tesla

Bycicle

 
 

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