53 – Apple Car

Apple was recently approved to test autonomous vehicles on the streets of California by the DMV. The long rumored Apple car project has been picking up in the recent months. We discuss the puzzle of what Apple could be working on and how they could bring a car or transportation service to market, and the difference in strategy compared to Tesla.

51 – Mobileye + Intel

Intel is buying Mobileye for $15 billion. Mobileye was a key supplier for Tesla’s Autopilot before Tesla moved to the new HW2 suite and Tesla Vision for software. We discuss the history of Mobileye, how they work with major automakers for ADAS, and their intentions to move into full self-driving functionality. We also unpack why Intel wanted Mobileye and how it will help bring the technology to market sooner. 

50 – A Smaller, More Affordable Version of Model S

We unpack Elon’s recent tweetstorm focused on the Model 3 and the first video of a release candidate version of the Model 3. We are joined by a special guest Trev Page who runs Model 3 Owners Club. We cover what it means for Tesla to change tact and start with RWD only vehicles, the bigger goals of a smooth production ramp, and we discuss how the HUD is out and how it is a good sign Tesla has learned their lesson from Model X. 

49 – Batteries: Part 2

In Part 2 of our battery episode we continue our discussion with Bernard Kim. We cover all sorts of topics. Why does capacity and thus range go down over time? Why can you brick a Tesla? What are the limits to the speed you can charge a battery? Does the rumbling from a Tesla cause any issue for the batteries? How can we know a battery will actually last for 10 years or more? How new developments in precise measurement instruments impacts the ability to iterate on new chemistries. As well as what is coming next in lithium ion batteries, how much innovation is chemistry limited, vs. manufacturing capability limited. 

48 – Batteries: Part 1

We have a special two part episode about batteries, the fundamental enabling technology for Tesla. Since it’s such a big topic area, we brought in a special guest, Bernard Kim a PhD from University of California Berkley specializing in advanced battery technology to discuss everything batteries –their history, how they work, why AA’s are different than what’s used by Tesla, what causes batteries to degrade and more.

39 – A Brief History of Faraday Future

We discuss the latest news with Faraday Future and their recent unveil of their production intent vehicle, the FF 91. We discuss Faraday Future through the lens of the key elements of an automotive company – the team, funding, production capability, the car itself, distribution, and the market and competition. We also cover the specifics of their CES unveil and our thoughts on their prospects. Video of the unveil

38 – Tesla Service Centers

We discuss Tesla Service Centers and Tesla’s broader approach to service. Tesla owns, operates, and staffs their own service centers for all of their vehicles. We cover the costs for service, their current capacity and what’s unique about Tesla service. Due to their vertical integration and technology in the cars, Tesla has a unique opportunity to provide more proactive service and improve the vehicles through direct learnings from servicing.

35 – Neural Networks: Part 2

We continue our conversation on neural networks and deep learning. We dig into the major automotive players who are using neural networks and deep learning in their approaches. We cover what Comma.ai is up to, Mobileye's point of view, Nvidia and their OS for self driving cars and how Tesla is already using them to power Autopilot and will be integral in Enhanced Autopilot and Self-Driving. 

34 – Neural Networks: Part 1

We dig deep into neural networks and AI as it pertains to Tesla. Neural networks have been in the news with Tesla’s full self-driving announcements. We discuss the history of neural networks, deep learning and AI. The advantages of neural networks and why they have come into more prominence recently. And we talk about our own efforts to build a car detection neural network. See our results here: http://theteslashow.com/neural-network-images