{
  "version": "1.2.0",
  "chapters": [
    {
      "title": "Intro: AI discussion with specialized physics at the end",
      "startTime": 0,
      "endTime": 220
    },
    {
      "title": "The current AI landscape for science: frontier models, Co-Scientist, and recent math breakthroughs",
      "startTime": 220,
      "endTime": 661
    },
    {
      "title": "Why models help and why they fail: errors, deep confabulation, and the research risk",
      "startTime": 661,
      "endTime": 954
    },
    {
      "title": "The Generator–Verifier workflow: how chaining model inference suppresses mistakes",
      "startTime": 954,
      "endTime": 1410
    },
    {
      "title": "Project origin: testing models on Hsu’s older nonlinear QM/QFT work",
      "startTime": 1410,
      "endTime": 1835
    },
    {
      "title": "The “GPT-5 moment”: Tomonaga–Schwinger angle appears and produces the key equation",
      "startTime": 1835,
      "endTime": 2435
    },
    {
      "title": "Wild goose chases & a practical heuristic: axiomatic QFT detour; Generator-Verifier convergence",
      "startTime": 2435,
      "endTime": 3104
    },
    {
      "title": "Referee-driven test case: Kaplan–Rajendran model, past-lightcone geometry, and verification",
      "startTime": 3104,
      "endTime": 3355
    },
    {
      "title": "Tooling & outlook: automation prototype, chaining into “supermodels,” where this is headed",
      "startTime": 3355,
      "endTime": 3579
    },
    {
      "title": "Physics slides (advanced): TS integrability, microcausality, and why nonlinearity threatens locality",
      "startTime": 3579,
      "endTime": 4363.91
    }
  ]
}