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632nm Podcast Transcripts

Misha Shalaginov, Michael Dubrovsky, Xinghui Yin · 60 episodes with transcripts

Technical interviews with the greatest scientists in the world.

Spoken has transcripts of 60 632nm episodes, with the speakers named. The newest listed here is from October 6, 2026.

Natural SciencesScience

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60 episodes of 632nm have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1751170269/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

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Latest 632nm transcripts

AI, Cancer Vaccines, and the Future of Personalized Medicine | Sid Sijbrandij on GitLab + Biotech

October 6, 2026

Sid Sijbrandij (0:00)

The trials are not meant to cure you. The trials are meant to get maximum data. Maybe sometimes as a side effect, they cure someone, but they're not designed for that. These companies, they pay a lot of money, and they need to get the maximum amount of data per patient. So that means only having them on one drug at…

Xinghui Yin (0:37)

This week, Mike and Devon sit down with Sid Sijbrandij, co-founder of GitLab and a cancer patient who has gone deep into the science of his own treatment. Today we discuss mRNA cancer vaccines, how they work and what it takes to produce them for individual patients. Sid talks about his experience going founder mode…

Please welcome Sid Sijbrandij.

Misha Shalaginov (1:10)

So Sid, just walk us through first principles, like soup to nuts. How do mRNA vaccines work and like why do they work? And what goes wrong in producing them? Like why don't we have an mRNA vaccine yet for like every disease and so on?

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