Leaderboard funded by the companies it ranks can't be gamed

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Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion.
Watch as Equity host Rebecca Bellan speaks with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang about how their platform became the go-to leaderboard for frontier AI models, and how they’re working to build a neutral benchmark even as companies like OpenAI, Google, and Anthropic back the project.
They discuss how Arena works and why it’s more resistant to gaming than static benchmarks, what “structural neutrality” really means, why Claude currently leads expert leaderboards in legal and medical use cases, and how the company is expanding beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product.
Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all major podcast platforms. You can also follow Equity on X and Threads at @EquityPod.
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Loading the player…
Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion.
Watch as Equity host Rebecca Bellan speaks with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang about how their platform became the go-to leaderboard for frontier AI models, and how they’re working to build a neutral benchmark even as companies like OpenAI, Google, and Anthropic back the project.
They discuss how Arena works and why it’s more resistant to gaming than static benchmarks, what “structural neutrality” really means, why Claude currently leads expert leaderboards in legal and medical use cases, and how the company is expanding beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product.
Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all major podcast platforms. You can also follow Equity on X and Threads at @EquityPod.
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Snowflake evolves beyond the data warehouse
Loading the video player…
Snowflake is betting that AI's future is not just about analyzing data but taking action on it. This means moving away from chatbots toward autonomous agents that can accomplish real tasks. To keep pace, Snowflake is reorgan
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