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. ppll compiled it from their own words, each linked to the source. Is this you? · Report a mistake
What they believe
-
AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter.
It'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.
ycombinator.comSaid 16 Jun 2025This on korrents
The bold line is korrents’ wording; the quote is theirs. These one: what they wrote before what they said aloud, one per source, newest first.
Beliefs
Korrents What they believe 9 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter.
It'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) Said 16 Jun 2025
Scaling results gave conviction that AI would keep getting smarter in a very predictable way.
These 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) Said 16 Jun 2025
Products that do not quite work yet are worth building, because the next model may make them work.
That 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) Said 16 Jun 2025
Show 6 more
Eventually AI models, perhaps millions working together, may be able to do the work of whole human organizations.
Eventually, 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) Said 16 Jun 2025
For the most advanced tasks, humans will be needed in the loop for now.
I 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) Said 16 Jun 2025
How long a task a model can accomplish depends largely on its ability to notice its own mistakes and correct them.
I 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) Said 16 Jun 2025
Using AI to integrate AI into the economy quickly probably has a lot of leverage.
I 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) Said 16 Jun 2025
Asking very naive questions goes a long way in a young field like AI.
I 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) Said 16 Jun 2025
AI models need to arrive with the context of someone who has worked inside an organisation for years, not a blank slate.
We 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) Said 16 Jun 2025
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.