comma ai Presentation where it’s like you are in Omaha with us | Summary and Q&A

March 11, 2018
george hotz archive
YouTube video player
comma ai Presentation where it’s like you are in Omaha with us

TL;DR presents their self-driving car journey, discussing their products such as Share Shifter and EON, and emphasizing the importance of predictability and safety in driving behavior.

Install to Summarize YouTube Videos and Get Transcripts

Key Insights

  • 😀 offers Share Shifter, an app that allows users to review driving footage and evaluate their own driving capabilities.
  • 🤩 Predictability is a key focus for, as it ensures the safety and smooth operation of self-driving cars.
  • 😀 The company has built a large training dataset, consisting of 2.6 million miles of video, to improve their self-driving technology.
  • 👨‍💼's technology integrates with vehicles through various communication methods, such as can buses and the OBD2 connector.
  • 🤗 They have open-sourced their driving agent, fostering collaboration and supporting select Honda and Toyota models.
  • 🤳 emphasizes the importance of maintaining a safe following distance and capable braking systems in their self-driving technology.
  • 🪛 They have made significant progress in their self-driving car journey, surpassing the capabilities of earlier marketing-driven concepts.


what up scopeys we'll be uh we'll be starting soon presentation starts at 2 p.m nebraska time i don't know what time that is california time but it's soon i think the minutes are the same two hours different yeah that's yeah it's the same minutes so whenever the minutes go to zero zero that's when the presentation will start maybe we'll give everyo... Read More

Questions & Answers

Q: What is Share Shifter?

Share Shifter is an app developed by that can be mounted on a car's windshield. It records driving footage and allows users to determine if they could drive a car based on the recorded video.

Q: How does prioritize predictability in driving behavior? believes that it is important for self-driving cars to not only predict other drivers' behavior but also be predictable themselves. This helps ensure safety on the road for all generations of drivers.

Q: What is the significance of's training dataset? has accumulated a vast dataset of 2.6 million miles of video footage of cars driving. This dataset provides valuable information for developing their self-driving technology and surpasses the driving experience of most people in their lifetime.

Q: How does's technology integrate with vehicles?'s technology utilizes various communication methods, including can buses, k-line buses, and the OBD2 connector available in most cars since 1996. They can record sensor data from the car and communicate with the vehicle's systems.

Summary & Key Takeaways

  • is presenting their self-driving car journey, showcasing their products like Share Shifter, a driving app.

  • They emphasize the importance of predictability in driving behavior, highlighting how their technology allows cars to learn and improve.

  • The presentation includes discussions on their training data, computer models, and the open-sourced driving agent, highlighting their focus on open collaboration.

Share This Summary 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Explore More Summaries from george hotz archive 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on: