Scale AI

Shaan Puri

mentioned

"Alex Wang was a kind of math Olympiad kid who then went on to start Scale AI, which was one of the first big data companies for these AI labs."

"There's a huge amount of interest in trying to figure out what is the demand for biological data... what does the Scale AI or Mercor or Surge AI for biodata actually look like."

"I did really genuinely think of Scale as my life's work for the whole time that I was working on it... I truly believe the best days of Scale are ahead of it."

John Coogan

mentioned

"These guys provide software that helps train ChatGPT and Claude and Grok and the major AI models. Apparently 90% of the world's leading generative AI models are using Scale AI."

Founders Podcast

mentioned

"He paid 14.3 billion for a stake in Scale AI and installed its founder, Alexander Wang, as Meta's head of AI."

"Anthropic and OpenAI have better uses of their capital and mental power than doing all of that Scale AI work."

Y Combinator

mentioned

"He was the chief operating officer of Scale AI in between government tours. So he's seen the frontier from both inside a hypergrowth startup and inside the White House."

"New CEO at Scale AI. They hit a billion and a half in ARR. We mentioned the importance of data — obviously Scale AI being one of the biggest providers of data."

Jason Lemkin

mentioned

"Scale AI — the fact that they've continued that business, I would have thought the acquisition left them a husk. But I think it proves one of those rules that you kind of know but you forget, which is when you're in a great market and you have a p..."

"Handshake, Macaw, Search, Scale — all these companies doing great. Scale is still crushing. Still crushing even post fractional acquire."

"There's one great company that's been M&A'd by Meta — Scale AI. They sell data for AI. Yeah, that's quantum data and quantum entropy as a service — exactly, we might expect those kinds of things."

"We're in Scale AI and they've become this huge awesome platform for the task economy and kind of like finding the data that actually now moves these models forward."