Anastasios Angelopoulos
person on 3 shows · 13 statements across 4 episodes · said 6 times in 3 episodes since 2025
Latent Space 5 
20VC 1 
the a16z Podcast
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Latent Space 520VC 1
2026 5 mentions in 2 episodes 3 per episode
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13 statements about Anastasios Angelopoulos, every show
Angelopoulos: Local Hosting Does Not Eliminate Pre-Trained AI Model Backdoor Risks
“What if the other side that's interacting with the chat bot can, you know, build in a certain code word or a certain like character sequence that then jail breaks that model and gets it to reveal all the data to me. So it can sort of like vomit out all of the …”
Angelopoulos: Arena has passed a $100M annualized revenue run rate
“So we're past a hundred million in annualized revenue run rate, and that's based on like Q, Q two times four.”
Angelopoulos: Arena Dropped 'LM' to Broaden Beyond Language Models
“So, so we wanted to maybe broaden a little bit. And we were the first Serena, so we feel like let's kind of try to own that.”
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 makes style control the default AI evaluation method
“That's why we're making style control default.”
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: AI evaluation performance follows a data scaling law
“Because language models are sort of the intermediary that gets you to this evaluation, there's also a scaling law that comes along with it. Which is to say that the more data you get, the bigger you build the platform, the better you can make your evaluations,…”
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.”
Angelopoulos: Real-world testing will remain fundamental for evaluating AI agents
“The fundamental is organic, real-world testing with feedback. That's not going to change. I can tell you that that is not going to change.”
Angelopoulos: Five-model selection bias is tiny compared to voter variability
“We don't do that right now, partially because we kind of have know from simulations that the amount of selection bias you incur with these five things is just not huge. It's not huge in comparison to the variability that you get from the, from just regular hum…”
Angelopoulos: Live voter data asymptotically eliminates pre-release ELO bias
“What happened is that over time, because we're getting new data, it'll get adjusted down. So if there's any bias that gets introduced at that stage in the long run, it actually doesn't matter because asymptotically, basically like in the long run, there's way …”