{
  "version": "1.2.0",
  "chapters": [
    {
      "title": "- Intro: Phil Beisel joins the show\r",
      "startTime": 0,
      "endTime": 60
    },
    {
      "title": "- Phil’s background at Rivian and Apple\r",
      "startTime": 60,
      "endTime": 180
    },
    {
      "title": "- Building software-defined vehicles\r",
      "startTime": 180,
      "endTime": 390
    },
    {
      "title": "- Comparing legacy OEMs vs. Tesla\r",
      "startTime": 390,
      "endTime": 530
    },
    {
      "title": "- What sparked Phil’s Tesla curiosity\r",
      "startTime": 530,
      "endTime": 660
    },
    {
      "title": "- Tesla’s FSD: a vision-only, AI-first philosophy\r",
      "startTime": 660,
      "endTime": 820
    },
    {
      "title": "- Breaking down end-to-end AI and planning\r",
      "startTime": 820,
      "endTime": 960
    },
    {
      "title": "- Why traditional code doesn’t scale for autonomy\r",
      "startTime": 960,
      "endTime": 1125
    },
    {
      "title": "- Data selection: Tesla’s secret sauce\r",
      "startTime": 1125,
      "endTime": 1270
    },
    {
      "title": "- Training FSD on human-like smoothness\r",
      "startTime": 1270,
      "endTime": 1440
    },
    {
      "title": "- How Tesla processes 9-camera data in milliseconds\r",
      "startTime": 1440,
      "endTime": 1620
    },
    {
      "title": "- Tesla’s compounding infrastructure advantage\r",
      "startTime": 1620,
      "endTime": 1740
    },
    {
      "title": "- What Phil’s articles aim to explain\r",
      "startTime": 1740,
      "endTime": 1860
    },
    {
      "title": "- Predicting robotaxi and Optimus future states\r",
      "startTime": 1860,
      "endTime": 2040
    },
    {
      "title": "- From transportation as a possession to a service\r",
      "startTime": 2040,
      "endTime": 2160
    },
    {
      "title": "- The iPhone moment for mobility\r",
      "startTime": 2160,
      "endTime": 2280
    },
    {
      "title": "- How robotaxi fleets can reshape cities\r",
      "startTime": 2280,
      "endTime": 2490
    },
    {
      "title": "- Networked intelligence and follow-me logic\r",
      "startTime": 2490,
      "endTime": 2580
    },
    {
      "title": "- Phil’s background in networking\r",
      "startTime": 2580,
      "endTime": 2700
    },
    {
      "title": "- Why current cars are still network endpoints\r",
      "startTime": 2700,
      "endTime": 2820
    },
    {
      "title": "- FSD software development: how close are we?\r",
      "startTime": 2820,
      "endTime": 2940
    },
    {
      "title": "- It’s a compute-bound problem now\r",
      "startTime": 2940,
      "endTime": 3150
    },
    {
      "title": "- Reinforcement learning for Optimus\r",
      "startTime": 3150,
      "endTime": 3270
    },
    {
      "title": "- Optimus’ complexity vs. a Tesla car\r",
      "startTime": 3270,
      "endTime": 3390
    },
    {
      "title": "- FSD + Optimus: Shared AI architecture\r",
      "startTime": 3390,
      "endTime": 3540
    },
    {
      "title": "- June 2025: What to expect from the Austin launch\r",
      "startTime": 3540,
      "endTime": 3660
    },
    {
      "title": "- 10% of all US miles = 3 million robotaxis\r",
      "startTime": 3660,
      "endTime": 3780
    },
    {
      "title": "- The phased rollout of Cybercab & Model Y robotaxis\r",
      "startTime": 3780,
      "endTime": 3900
    },
    {
      "title": "- Version 14 and unsupervised FSD\r",
      "startTime": 3900,
      "endTime": 4020
    },
    {
      "title": "- Shadow mode and future consumer access\r",
      "startTime": 4020,
      "endTime": 4140
    },
    {
      "title": "- Closing thoughts: trials, scale, and what’s next\r",
      "startTime": 4140,
      "endTime": 0
    }
  ]
}