Anastasios Angelopoulos, CEO of Arena, forecasts massive market growth for AI training and evaluation data by 2030.
Insight
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…”
Assertion Not checkable as stated
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…”
Opinion
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…”
Prediction Not checkable as stated
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 …”
Assertion Supported
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…”
Assertion Supported
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…”