Lila Sciences bets open-endedness is core infrastructure for AI-driven autonomous science
tw_killian · x · 2026-09-11
A profile of Ken Stanley's Open-Endedness team at Lila Sciences, the science startup betting that open-ended search is core infrastructure for scientific superintelligence. Author Matthew Hutson traces the team's philosophy to a formative episode: team member Thomas Sheppard's "junk" diamond crystals from an ML-optimized synthesis job turned out to be exactly the samples needed, reinforcing the principle of not discarding weird results. Stanley defines open-endedness as divergent search through a possibility space that indefinitely produces increasingly interesting discoveries—biology's evolution being the canonical example—and argues science itself is open-ended, full of serendipity and cross-pollinating ideas, which is why autonomous science needs this approach at its core. Colleagues Alon Albalak and Thomas Sheppard are highlighted; team lead twkillian praises the group and teases upcoming public announcements.
Related event: Ken Stanley Joins Lila Sciences to Lead Open-Endedness Team(2 posts)→
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