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: Chinese AI Progress Involves More Than Distilling US Models
“That doesn't mean that they're not distilling. They may still be using distillation as a sub-step in their training procedure, But it does mean that distillation is only part of the story and that there's something that those labs are doing above and beyond di…”
Angelopoulos: Fake AI applicants passed Arena's live technical engineering interviews
“They come in, they're like, hey, I want to be an infrastructure engineer at Arena, which is a great job that we're hiring for you. But then the other side of it is some guy that looks perfectly normal. They're getting, you know, they're passing all of our tech…”
Angelopoulos: Silicon Valley investors are "total bitches" about revenue concentration
“The first is that I think that Silicon Valley investors have become total bitches with respect to revenue concentration. It's like, what the, what are you talking about? Like TSMC has revenue concentration. There's businesses that are like many hundreds of bil…”
Angelopoulos: Open-source AI pressure could cause insolvency for leading frontier labs
“And I think that the reason to be worried is because if the open source ecosystem somehow makes the cost saving opportunity for businesses much more salient and therefore decreases the revenue of companies like OpenAI and Anthropic within the enterprise, that …”
Angelopoulos: Believing chatbot leaderboards are easily gameable is naive
“I have to say, I also just like completely disagree with the foundation of the question. The like implicit assumption is that like chat is easy or that it's even easier than web dev. That's completely false. It's a completely naive perspective that people have…”
Angelopoulos: Kimi K3 Beat Top US Closed Models in Web Development
“And for the first time ever, we saw a couple of weeks ago that Kimi K three actually beat the best closed source American models on a, you know, pretty important subset of tasks, for example, front end coding, like web development, which a huge fraction of dev…”
Angelopoulos: Most global AI inference spend remains on proprietary first-party APIs
“If you look at the whole space of all inference, most of it is still being consumed on first party APIs and on proprietary models. That's why anthropic revenue has been just a total hockey stick. It's not, you know, it's not like they're being completely canni…”
Angelopoulos: Software will cease to be a business moat within five years
“Software is no longer really a moat because it can be produced instantaneously, right? Let's project out five years. That's what's going to happen. And so what moats exist? Network effects exist and data moats exist.”
Angelopoulos: US Will Have a Multi-Hundred Billion Dollar Open-Source AI Company
“I believe that we're going to have at least one massive, you know, multi-hundred billion, if not trillion dollar American company focused on American first open source.”
Angelopoulos: Thinking Machines' Inkling ranks #1 in US open source, behind nine Chinese models
“And within that time, they'd become the number one American open source model. But then the less generous take would be the companies existed for a year and a half. And then they've come up with, yes, the number one American open source, but there's nine Chine…”
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: US Likely to Restrict Chinese Open AI Models Within Three Years
“Yeah, my guess my guess would be that we will. I, I'm not saying I support it, but I think that it is likely where the world is headed. If I had to like place a bet, it would be there, but I think it's very uncertain at the moment.”
Angelopoulos: Anthropic currently enjoys "disgustingly high" inference gross margins
“For example, one of the things that's going to happen is that like right now, Anthropic has like disgustingly high growth, gross margins in their inference.”
Angelopoulos: Going public will exert downward pricing pressure on Anthropic's inference
“And after they go public, the whole world is going to see that, right? Like we're going to see their margins because those are going to be public information. And that's going to exert downward pricing pressure on their inference.”
Angelopoulos: Enterprises Will Need Guardian AI Models Because Humans Are Too Slow
“So I think we need guardian models and also, you know, agents within our businesses.
What is a guardian model?
Something that can witness the traces basically that's looking over the shoulder of every agent within a business and then saying, okay, this is a sa…”
Angelopoulos: Two-thirds of 75 AI neo-labs will fail or be acqui-hired
“There's at least 75 Neolabs. And For sure, like two thirds of those are going to be worth nothing or like they're going to be bought out for parts, right? That's going to be like an aqua hire.”
Angelopoulos: A $10B AI startup needs $4B revenue in 2-3 years to 10x
“And the thing that you really need to believe is that if the valuation is ten billion today, that you're going to generate the revenue, let's say it's a 30 X revenue multiple or 25 X revenue multiple to become a hundred billion dollar business. And so what tha…”
Angelopoulos: AI data market will reach $100B to $1T by 2030
“I believe it's going to be at least a hundred billion dollars by 2030, if not a trillion.”
Angelopoulos: Arena has 30M+ monthly visitors, bigger than Hugging Face and xAI
“People don't know this, but Arena's one of the largest consumer AI apps in the world. We're bigger than, like, XAI. We're bigger than, like, Hugging Face, and Manus, and GenSpark, where it's so massive, like if you, like outside in, it's like 30 plus million m…”
Angelopoulos: Model labs must enter application layer to avoid commoditization
“If, like, inference is going to commoditize, then, of course, the next best thing is for the model providers to be moving up the application layer in order to own more of the application stack so that they ensure that they're not commoditized and they're getti…”
Angelopoulos: Nvidia is probably leading the race to a $10T valuation
“I think it's hard to say not NVIDIA. I think NVIDIA is probably in the lead there.”
Angelopoulos: Enterprise AI adoption will 10X Nvidia reliably
“But I think the enterprise adoption of AI is going to be another 10 Xer for the industry. I think it'll 10 X NVIDIA very reliably.”
Arena's anonymous Nano Banana test moved Google's stock and product roadmap
“I mean, that moment alone changed Google's like roadmap. Market share. Seriously. I mean, Google stock, billions of dollars are moving because of Nano.”
Angelopoulos: Most mission-critical AI queries are subjective, not factual lookups
“In reality, even in such industries, the majority of questions that people ask are subjective. Okay. So the mythology that in hard sciences or in mission critical industries, people just have like cut and dried questions and they just need like a retrieval and…”
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 → |