Jared Kaplan
Co-founder of Anthropic; a theoretical physicist for most of his career before he turned to AI.
Jared Kaplan did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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Our reading
Scaling results gave conviction that AI would keep getting smarter in a very predictable way.
Their wordsThese gave us a lot of conviction to believe that AI was just going to keep getting smarter and smarter in a very predictable way.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 1st of 9 in this piece
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Their wordsIt's not that AI researchers are really smart or they suddenly got smart. It's that we found a very, very simple way of making AI better systematically, and we're turning that crank.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 2nd of 9 in this piece
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Their wordsEventually, we imagine AI models—or millions of AI models perhaps working together—will be able to do the work that whole human organizations can do.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 3rd of 9 in this piece
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Their wordsWe need to train AI models that don't just greet you with a blank slate but can learn to work within companies, organizations, governments as though they have the kind of context that someone who's been working there for years has.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 4th of 9 in this piece
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Our reading
Products that do not quite work yet are worth building, because the next model may make them work.
Their wordsThat means that if you build a product that doesn't quite work because Claude 4 is still a little bit too dumb, you could expect that there'll be a Claude 5 coming that will make that product work and deliver a lot of value.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 5th of 9 in this piece
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Their wordsI think that right now human AI collaboration is going to be the sort of most interesting place because I think that for the most advanced tasks you're really going to need humans in the loop.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 6th of 9 in this piece
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Their wordsI think that probably leveraging AI to integrate AI into parts of the economy as quickly as possible, I expect there's just a lot of leverage there.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 7th of 9 in this piece
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Their wordsI think generally it's really asking very naive dumb questions that gets you very far.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 8th of 9 in this piece
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Their wordsI think that a lot of what determines the horizon length of what models can accomplish is their ability to notice that they're doing something wrong and correct it.
↗Scaling and the Road to Human-Level AI (Jared Kaplan, AI Startup School, Y Combinator; speaker-labelled transcript)ycombinator.com 9th of 9 in this piece