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Artificial intelligence\u00a0models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best\u00a0\u2014 and who decides that?\u00a0Arena, formerly LM Arena, has\u00a0emerged\u00a0as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a\u00a0UC\u00a0Berkeley PhD research project to\u00a0being valued at\u00a0$1.7 billion<\/a>.\u00a0<\/p>\n Watch as Equity<\/a>\u00a0host\u00a0Rebecca Bellan catches up with Arena co-founders\u00a0Anastasios Angelopoulos<\/a>\u00a0and\u00a0Wei-Lin Chiang<\/a>\u00a0about how their platform became the go-to leaderboard for frontier AI models, and how they\u2019re trying to build a neutral benchmark even as companies like OpenAI, Google, and Anthropic back the project. <\/p>\n They break down how Arena works and why it\u2019s harder to game than static benchmarks, what \u201cstructural neutrality\u201d actually means, why Claude is currently topping 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.<\/p>\n Subscribe to Equity on\u00a0YouTube<\/a>,\u00a0Apple Podcasts<\/a>,\u00a0Overcast<\/a>,\u00a0Spotify<\/a>\u00a0and all the casts. You\u00a0also can\u00a0follow Equity on\u00a0X<\/a>\u00a0and\u00a0Threads<\/a>, at @EquityPod.\u00a0<\/p>\n<\/div>\n