The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 7 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Arena sampled open-source models at 60/40, debunking Leaderboard Illusion paper
“But, you know, there, for example said that we were, that we only sampled, like, nine percent open source models and, like, you know, 60%, like, closed source models, and this created a gap between open and closed source. But in reality, we're actually really …”
Angelopoulos: OpenAI o1 crushed Chatbot Arena, proving the benchmark isn't saturated
“So there's this model and it crushed the benchmark. You know, it's just like really like a big gap. And what that's telling us is that it's not saturated yet. And so it's still measuring some signal that was encouraging point.”
Angelopoulos: The Chatbot Arena leaderboard is currently not an apples-to-apples comparison
“None of the leaderboard currently is apples to apples, because you have, like, Gemini Flash, you have, you know, all sorts of tiny models, like Llama Like, eight B and four or five B are not apples to apples.”
Angelopoulos: Arena received grants from Sequoia and a16z before incorporating
“He was not, you know, A-sixteen was not the only one to do this. We also had a great grant from Sequoia, but Ansh was in particular quite, quite supportive of us and, you know, gave us some resources in order to continue building out Arena before we even We're…”
Gradio scaled Arena to 1 million monthly active users before migration
“Gradio scaled us to a million Mal.”
Angelopoulos: Chatbot Arena scores are calculated via logistic regression
“The arena score that we show on our leaderboard is a particular type of linear model, right? It's a linear model that takes, it's a logistic regression that takes model identities and fits them against human preference, right? So it regresses human preference …”