Anastasios Angelopoulos
Co-Founder and CEO, Arena. On 3 shows, 4 appearances. The Shows tab opens the full record on each.
founderexecutivescientistauthor@ml_angelopoulos ↗LinkedIn ↗angelopoulos.ai ↗
He co-founded Arena, the crowdsourced human-preference benchmarking platform for AI foundation models originating out of UC Berkeley. A former UC Berkeley postdoctoral researcher, he specializes in reliable AI and conformal prediction.
3shows
4appearances
89statements
21resolved
17supported
1contradicted
81%fully supported
6said about them ↓ Everything Anastasios Angelopoulos said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Angelopoulos: LMArena prompt router yields double the performance per dollar
“Now, if you trace the performance, the best performance that, you know, any individual model can give you as part of the router as a function of cost. That's like two X worse than the router. In other words, the router is giving you double the bang for your bu…”
Angelopoulos: Top AI researchers avoid companies building purely proprietary technology
“The best people don't want to hole up at a company and develop a bunch of proprietary technology that, you know, is never going to be released.”
Angelopoulos: High refusal rates do not make AI models inherently superior
“It's not necessarily the model that's like most, like refuses the most to answer these like queries that people ask necessarily better. Some people want a model that's more controllable. Some people want a model that's going to say whatever they want. Some peo…”
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: Highly effective LLM routers only need simple heuristics like length
“Well, I think that you can build a very, very simple router that is very effective. So let me give you an example. You can build a great router with one parameter, and the parameter is just like, I'm gonna check if my question is hard, and if it's hard, then I…”
Angelopoulos: Chinese AI labs face severe hardware constraints and rely on black-market chips
“So they're way hardware constrained over there. And they've been trying to like black market import chips because of this. And you see this in the news, right? The information just reported on this.”
Angelopoulos: China Has Already Restricted American AI Models Domestically
“And by the way, it's worth noting that China has already restricted the use of American models within China, right? So if you look at the two by two matrix of US China restrict, not restrict, you know, like export import stuff They have already restricted the …”
Angelopoulos: Open-source AI growth reduces Nvidia's revenue concentration
“Of course, Jensen is in some sense self-serving with this letter, because the more open source models are developed, the more companies are going to be training on GPUs. They're going to be fine tuning on their own data. And it's just more and more spend. It d…”
Angelopoulos reveals Arena uses Alibaba's Qwen in its tech stack
“And I said, you know, yeah, we use Quinn for X, Y, Z.”
Angelopoulos: Google's Gemma sits on the performance-versus-cost Pareto curve
“Gemma, by the way, is pretty good in terms of efficiency. If you look at arena, you'll see the, on the Pareto curves of like performance versus cost. Gemma's on there.”
Angelopoulos: Harvey's CEO views model labs as his biggest competitive worry
“Harvey, the CEO of Harvey himself is saying that, you know, his biggest competitive worry is the model labs.”
Angelopoulos: LMArena receives only standard enterprise inference discounts
“No, no, we get discounts, but they're, but they are standard enterprise discounts. The same that would be given to any other customer.”
Arena processes tens of millions of conversations monthly, totaling 250 million
“We have probably two hundred and fifty million conversations that happen over the course of the platform. We're on the order of, you know, mid tens of millions of conversations every month that are happening on the platform.”
Angelopoulos: Academic paper figures will soon be generated by AI models
“Soon we're not going to be even making them for our papers. We're, they're just going to be, our paper figures are going to be made by Emily.”
Angelopoulos: LMArena has released more real-world AI data than almost anyone
“We've probably released more data than basically anybody on the real world use cases of AI.”
Angelopoulos: Human evaluators prefer longer AI responses given equal content
“It's true that people vote for longer responses, you know, preferentially over shorter responses, even given the same contents or well-known human bias.”
Angelopoulos: LMArena measures user preference, not AGI progress
“We don't claim to be an AGI benchmark. We are faithfully representing the preferences of our community.”
Angelopoulos: LMArena is building personalized AI leaderboard tools
“Yeah, and we should be giving you the tools to do that, and we're currently building them.”
Angelopoulos: Bradley-Terry models converge for AI evaluation, unlike Elo scores
“Okay, let's move from Elo to Bradley Terry because we're actually performing an estimate here instead of just like You know, and the ELO score moves over time. It doesn't converge, but Rally Terry models converge and how do we then construct confidence interva…”
Angelopoulos: Reinforcement learning allows AI models to surpass human teachers
“And supervised learning, you can only do as well as the best human that you have. Because what's happening is that you're learning from the teacher. In reinforcement learning, you're learning from the world. You're able to learn things better than the best hum…”
Angelopoulos: Chatbot Arena has 1M+ monthly users and 150M+ conversations
“A lot of people don't know this, but ShopBot Arena is Used by like a million plus monthly users. We get like, you know, tens of thousands of votes on a daily basis. We have like over like, you know, a hundred fifty million conversations that have been had on t…”
Angelopoulos: LMArena will remain open-source as a commercial company
“We're going to keep publishing papers. We're going to keep releasing open source. We're going to keep releasing open data.”
The other half of the tape: Anastasios Angelopoulos's own voice is left out of every number here. Other people bring the name up 6 times in 3 episodes across the shows. every mention, with the transcript →
Who brings them up most Anjney Midha 4Shawn Wang 1Harry Stebbings 1
Every mention by year
tap a year for its mentions
Latent Space 5
20VC 1
2026 5 mentions in 2 episodes 3 per episode
One line per show, most statements first. The link opens Anastasios's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| 20VCLEDGER | Co-Founder and CEO, Arena | 1 | 39 | 75% 6/8 | full record on 20VC → |
| LATENT SPACELEDGER | Co-Founder and CEO, Arena | 2 | 28 | 86% 6/7 | full record on Latent Space → |
 a16zLEDGER | Co-Founder and CEO, Arena | 1 | 22 | 83% 5/6 | full record on the a16z Podcast → |