91 Names Voted Most Insightful in AI Data and Post-Training, Daniel Chang Tops List
FinanceYF5 · x · 2026-10-06
Chris Barber polled practitioners on who they find most insightful in the AI data and post-training space, yielding 91 nominees.
Daniel Chang led with 5 votes. Abhijay Rana, Ryan Wexler, Sean Cai, and Will Brown each got 3 votes; Amy Tam, Jesse Hu, Nikhil Namburi, and Thomas Liao got 2 each, with the remaining 82 people receiving 1 vote apiece. Self-nominations were disallowed and the organizer didn't vote. The list works as a map of key voices to follow in data and post-training.
Related event: Community Vote Ranks Most Insightful Figures in AI Data and Post-Training(2 posts)→
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