Beyond Leaderboards: LMArena’s Mission to Make AI Reliable
May 29, 2025
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1:45:01Now PlayingBeyond Leaderboards: LMArena’s Mission to Make AI Reliable
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as posted by the channela16z general partner Anjney Midha sits down with LMArena cofounders Anastasios N. Angelopoulos, Wei-Lin Chiang, and Ion Stoica to talk about the future of AI evaluation.
As benchmarks struggle to keep up with the pace of real-world deployment, LMArena is reframing the problem: what if the best way to test AI models is to put them in front of millions of users and let them vote? The team discusses how Arena evolved from a research side project into a key part of the AI stack, why fresh and subjective data is crucial for reliability, and what it means to build a CI/CD pipeline for large models.
They also explore:
- Why expert-only benchmarks are no longer enough
- How user preferences reveal model capabilities — and their limits
- What it takes to build personalized leaderboards and evaluation SDKs
- And why real-time testing is foundational for mission-critical AI
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