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How End-to-End Learning Created Autonomous Driving 2.0: Wayve CEO Alex Kendall

> We need to be able to generalize.

Show: Training Data · Publisher: Sequoia Capital · Host: Sonya Huang, Pat Grady

Episode URL: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI9488284627.mp3

Publish date: 2025-11-18
Duration: NAs
Default source credibility: HIGH — Sequoia partners interview frontier-lab founders + F500 AI buyers. VC-hosted — portfolio-company framing on recommendations; named guest metrics stay HIGH. Peer-tier to No Priors in quality.

  • Wave’s approach to autonomous driving uses end-to-end neural networks, contrasting with the previous hand-coded systems, emphasizing generalization and safety.
  • The company’s AI model can adapt to various sensor architectures and vehicle types, enabling rapid deployment across different manufacturers and regions.
  • World models and synthetic data play a crucial role in improving the efficiency and generalization of the AI system, reducing the need for extensive real-world data.

Extracted quotes

# Credibility Speaker Org Timestamp Topic Quote
1 HIGH Alex Kendall (CEO) Wave 01:22 01-ai-native-landscape We need to be able to generalize. We need to be able to amortize our cost over one large intelligence, and to be able to very quickly adapt to each different application that our customers care about.
2 HIGH Alex Kendall (CEO) Wave 10:08 01-ai-native-landscape Our cars were in New York City last week, driving around there. Bringing it global, being able to take it to different manufacturers’ vehicles and show a product-like experience, this growth has, I think, also really opened up a lot of inspiration around the world.
3 HIGH Alex Kendall (CEO) Wave 28:33 01-ai-native-landscape We’ve driven in over 500 cities this year. And so when you’re driving at that level of scale, of course, you see things that you’ve never seen before. Road signs are written in a new language.

Per-quote detail

1. Alex Kendall — Wave (01:22)

We need to be able to generalize. We need to be able to amortize our cost over one large intelligence, and to be able to very quickly adapt to each different application that our customers care about.

  • Credibility: HIGH — Named exec at identifiable org with specific claim about their approach to AI.
  • Topic tag: 01-ai-native-landscape

2. Alex Kendall — Wave (10:08)

Our cars were in New York City last week, driving around there. Bringing it global, being able to take it to different manufacturers’ vehicles and show a product-like experience, this growth has, I think, also really opened up a lot of inspiration around the world.

  • Credibility: HIGH — Named exec at identifiable org with specific claim about their deployment.
  • Topic tag: 01-ai-native-landscape

3. Alex Kendall — Wave (28:33)

We’ve driven in over 500 cities this year. And so when you’re driving at that level of scale, of course, you see things that you’ve never seen before. Road signs are written in a new language.

  • Credibility: HIGH — Named exec at identifiable org with specific claim about their deployment.
  • Topic tag: 01-ai-native-landscape

Extracted 2026-04-14T17:55:22 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).