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Today we’re excited to share additional support in the Series A for Lila: $350M in total for the round and $550M raised to date. I’m grateful for our team, our early partners, and the investors who believe in this mission.
In an earlier post I asked whether science can create the next scaling paradigm for AI. We believe the way forward is to run the scientific method at scale—hypothesize → design → run → measure → update—and let models learn from real experiments.
This financing helps us do that. We’re building the world’s largest verifier for science to train a new kind of AI model.
Thank you to the partners from our first close and to the new investors who joined alongside them.
If you’re excited about creating a model that learns from the scientific method itself—or you’re a researcher or engineer who wants to work on important problems—we’d love to talk.
In an earlier post I asked whether science can create the next scaling paradigm for AI. We believe the way forward is to run the scientific method at scale—hypothesize → design → run → measure → update—and let models learn from real experiments.
This financing helps us do that. We’re building the world’s largest verifier for science to train a new kind of AI model.
Thank you to the partners from our first close and to the new investors who joined alongside them.
If you’re excited about creating a model that learns from the scientific method itself—or you’re a researcher or engineer who wants to work on important problems—we’d love to talk.
We’ve closed our Series A. With $550M total raised since launch, we’re ready to scale.View quoted post on X
🚀Learn how our Series A is fueling our next chapter: lila.ai/news/announcin…
