Machine Learning: How Did We Get Here?

Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University

Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, Tom traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity.

Topics: Technology, History

Transcribe the entire archive

14 episodes of Machine Learning: How Did We Get Here? have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1879433175/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

Already-saved files are skipped — safe to re-run after a top-up.

Example Transcripts

Five Decades of Neural Networks with Geoffrey Hinton February 23, 2026

These are examples, not the full list — see everything available from this show via the API, get started.

Thousands of transcripts fetched by people building searchable podcast archives

Get any Machine Learning: How Did We Get Here? episode as clean, speaker-labeled Markdown — ready for your AI agent.

curl -H "x-api-key: YOUR_KEY" \
  https://spoken.md/transcripts/1000750971875

No subscription. Credits never expire. Prices exclude VAT, added at checkout for EU customers. Try free with pt_demo.