Scholars debate how science should generate data in the AI era

Researchers debated how science should generate data in the AI era: viriditax argued landmark projects like Framingham and TCGA are nearly impossible to replicate today, while Stanford scholars countered that model-in-the-loop iterative data generation beats one-shot massive collection.

2026-09-21 ~ 2026-09-21 · 3 related posts

• Researchers debate model-in-the-loop data generation: one-shot massive experiments a bad tradeoff — owl_posting · 2026-09-21
• Framingham and TCGA act as north stars that drive tech stacks, not repeatable experiments — viriditax · 2026-09-21
• Framingham and TCGA were pivotal without AI; models in the loop could boost data generation — anshulkundaje · 2026-09-21