{
  "version": "1.2.0",
  "chapters": [
    {
      "title": "Cold open",
      "startTime": 0.57,
      "endTime": 67.26
    },
    {
      "title": "Luisa’s intro",
      "startTime": 67.26,
      "endTime": 174.58
    },
    {
      "title": "The interview begins",
      "startTime": 174.58,
      "endTime": 313.83
    },
    {
      "title": "The Existential Risk Persuasion Tournament",
      "startTime": 313.83,
      "endTime": 754.92
    },
    {
      "title": "Why is this project important?",
      "startTime": 754.92,
      "endTime": 1074.91
    },
    {
      "title": "How was the tournament set up?",
      "startTime": 1074.91,
      "endTime": 1358.36
    },
    {
      "title": "Results from the tournament",
      "startTime": 1358.36,
      "endTime": 1859.36
    },
    {
      "title": "Risk from artificial intelligence",
      "startTime": 1859.36,
      "endTime": 2810.19
    },
    {
      "title": "How to think about these numbers",
      "startTime": 2810.19,
      "endTime": 2956.48
    },
    {
      "title": "Should we trust experts or superforecasters more?",
      "startTime": 2956.48,
      "endTime": 3730.14
    },
    {
      "title": "The effect of debate and persuasion",
      "startTime": 3730.14,
      "endTime": 4113.25
    },
    {
      "title": "Forecasts from the general public",
      "startTime": 4113.25,
      "endTime": 4739.09
    },
    {
      "title": "How can we improve people’s forecasts?",
      "startTime": 4739.09,
      "endTime": 5190.18
    },
    {
      "title": "Incentives and recruitment",
      "startTime": 5190.18,
      "endTime": 5631.35
    },
    {
      "title": "Criticisms of the tournament",
      "startTime": 5631.35,
      "endTime": 6380.74
    },
    {
      "title": "AI adversarial collaboration",
      "startTime": 6380.74,
      "endTime": 6701.16
    },
    {
      "title": "Hypotheses about stark differences in views of AI risk",
      "startTime": 6701.16,
      "endTime": 8235.62
    },
    {
      "title": "Cruxes and different worldviews",
      "startTime": 8235.62,
      "endTime": 8937.53
    },
    {
      "title": "Ezra’s experience as a superforecaster",
      "startTime": 8937.53,
      "endTime": 9060.51
    },
    {
      "title": "Forecasting as a research field",
      "startTime": 9060.51,
      "endTime": 9301.07
    },
    {
      "title": "Can large language models help or outperform human forecasters?",
      "startTime": 9301.07,
      "endTime": 9551.65
    },
    {
      "title": "Is forecasting valuable in the real world?",
      "startTime": 9551.65,
      "endTime": 9929
    },
    {
      "title": "Ezra’s book recommendations",
      "startTime": 9929,
      "endTime": 10074.07
    },
    {
      "title": "Luisa's outro",
      "startTime": 10074.07,
      "endTime": 10163.1
    }
  ]
}