dailyai.report

Researchers Nathan Lambert and Kevin Xu argue that banning open-source AI stifles critical safety audits. Closed models hide systemic flaws from public scrutiny. This lack of transparency prevents independent verification of model alignment. Restricting open weights concentrates power among a few firms, slowing the pace of peer-reviewed safety research for practitioners.