High Signal Podcasts Evidence ledger
Method
Browse
How the evidence works
← All source episodes

Lenny's Podcast / episode intelligence

OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter)

10 Apr 2025 22 published claims 2 attributable people
Open original episode ↗ Read the evidence

Speakers in the public record

Kevin WeilLenny Rachitsky

Claim mix

belief 6uncertainty 5recommendation 4evaluation 4preference 2prediction 1

Evidence policy

Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

Claim ledger

The useful parts, with receipts.

22 published records

01 / recommendation

Recommends Co-Intelligence. Recommends The Accidental Superpower. Recommends Cable Cowboy.

“Co-Intelligence by Ethan Mollick, a really good book about AI and how to use it in your daily life as a student, as a teacher. He's super thoughtful. Also, by the way, a very good follow on Twitter. The Accidental Superpower by Peter Zion. Very good if you're interested in geopolitics and the forces that sort of shape the dynamics happening. And then I really enjoyed Cable Cowboy, I don't know who the author is, but the biography of John Malone. Just fascinating. If you like business, especially if you want to get into... I mean the man was an incredible dealmaker and shaped a lot of the modern cable industry. So that was a good biography.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

03 / uncertainty

Let me just ask, did you guys expect this kind of reaction? It feels like this is the most viral thing that's happened in AI, which a high bar since, I don't know, ChatGPT launched.

“Let me just ask, did you guys expect this kind of reaction? It feels like this is the most viral thing that's happened in AI, which a high bar since, I don't know, ChatGPT launched.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

04 / uncertainty

" I know some people have a sense there's regulation challenges, things like that. I don't know if you've talked about this much.

“" I know some people have a sense there's regulation challenges, things like that. I don't know if you've talked about this much.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

07 / belief

We're not going to have the know-how to build most of these things. And I think, like I was saying, the data is industry-specific, use case-specific, behind certain company walls, things like that.

“We're not going to have the know-how to build most of these things. And I think, like I was saying, the data is industry-specific, use case-specific, behind certain company walls, things like that.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

08 / belief

I think the pro version of that, which is, I think, the way Andre even described it as you talk, there's a step like whisper or super whisper or something like that where you're talking to the model, not even typing.

“I think the pro version of that, which is, I think, the way Andre even described it as you talk, there's a step like whisper or super whisper or something like that where you're talking to the model, not even typing.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

10 / belief

I'm curious if there's a concrete example that makes that real, and I'll share one that comes to mind as you talk, which is, when you look at Cursor and Windsurf, something I learned from those founders is that they use a Sonnet, but then they also have a bunch of custom models that help along the edges that make the specific experience that's not just generating code even better like auto-complete and looking ahead to where things are going.

“I'm curious if there's a concrete example that makes that real, and I'll share one that comes to mind as you talk, which is, when you look at Cursor and Windsurf, something I learned from those founders is that they use a Sonnet, but then they also have a bunch of custom models that help along the edges that make the specific experience that's not just generating code even better like auto-complete and looking ahead to where things are going.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

11 / belief

I think people that are happy with ambiguity, because there is a massive amount of ambiguity here, it is not the kind of place, and we have trouble sometimes with more junior PMs because of this, because it's just not the place where someone is going to come in and say, "Okay, here's the landscape, here's your area, I want you to go do this thing.

“I think people that are happy with ambiguity, because there is a massive amount of ambiguity here, it is not the kind of place, and we have trouble sometimes with more junior PMs because of this, because it's just not the place where someone is going to come in and say, "Okay, here's the landscape, here's your area, I want you to go do this thing.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

12 / uncertainty

Very good if you're interested in geopolitics and the forces that sort of shape the dynamics happening. And then I really enjoyed Cable Cowboy, I don't know who the author is, but the biography of John Malone.

“Very good if you're interested in geopolitics and the forces that sort of shape the dynamics happening. And then I really enjoyed Cable Cowboy, I don't know who the author is, but the biography of John Malone.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

13 / belief

I think the easiest way to think about it is almost like a quiz for a model, a test to gauge how well it knows a certain set of subject material or how good it is at responding to a certain set of questions.

“I think the easiest way to think about it is almost like a quiz for a model, a test to gauge how well it knows a certain set of subject material or how good it is at responding to a certain set of questions.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

14 / evaluation

" ImageGen was definitely one of those, so we'd been playing with it for, I don't know, a couple months and when it first went live internally to the company, there was kind of a little gallery where you could generate your own, you could also see what everyone else was generating and it was just nonstop buzz.

“" ImageGen was definitely one of those, so we'd been playing with it for, I don't know, a couple months and when it first went live internally to the company, there was kind of a little gallery where you could generate your own, you could also see what everyone else was generating and it was just nonstop buzz.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

16 / recommendation

" If we have 10 different problems, we might solve them using 20 different model calls, some of which are using specialized fine-tuned models, they're using models of different sizes because maybe you have different latency requirements or cost requirements for different questions.

“" If we have 10 different problems, we might solve them using 20 different model calls, some of which are using specialized fine-tuned models, they're using models of different sizes because maybe you have different latency requirements or cost requirements for different questions.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

17 / preference

I certainly have better ideas when I get in a room and brainstorm with other people because they think differently than me. So anyways, there's just all these situations where you can actually reason about it like a group of humans or an individual human and it works, which I don't know, maybe I shouldn't have been surprised but I was.

“I certainly have better ideas when I get in a room and brainstorm with other people because they think differently than me. So anyways, there's just all these situations where you can actually reason about it like a group of humans or an individual human and it works, which I don't know, maybe I shouldn't have been surprised but I was.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

18 / evaluation

It can help you get to a better final result. So, again, I tend to be an optimist in most things, but actually, I think there's a very good story here.

“It can help you get to a better final result. So, again, I tend to be an optimist in most things, but actually, I think there's a very good story here.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

19 / prediction

That all said, I'm still sort of disappointed by us, and I really mean me, in, if I were to just teleport my five-year-old self leading product at some other company into my day job, I would recognize it still. And I think we should be in a world, certainly a year from now, probably even more now, where I almost wouldn't recognize it because the workflows are so different and I'm using AI so heavily, and I'd still recognize it today.

“That all said, I'm still sort of disappointed by us, and I really mean me, in, if I were to just teleport my five-year-old self leading product at some other company into my day job, I would recognize it still. And I think we should be in a world, certainly a year from now, probably even more now, where I almost wouldn't recognize it because the workflows are so different and I'm using AI so heavily, and I'd still recognize it today.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

20 / recommendation

I think there are a bunch of ways that we could do that that would've introduced the change a little bit more gently, maybe still gotten to that same outcome, but fewer new things at once and introduced the new things one at a time.

“I think there are a bunch of ways that we could do that that would've introduced the change a little bit more gently, maybe still gotten to that same outcome, but fewer new things at once and introduced the new things one at a time.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

21 / evaluation

There's this quote I love, which is "AI is whatever hasn't been done yet" because once it's been done, when it kind of works, then you call it machine learning, and once it's kind of ubiquitous and it's everywhere, then it's just an algorithm.

“There's this quote I love, which is "AI is whatever hasn't been done yet" because once it's been done, when it kind of works, then you call it machine learning, and once it's kind of ubiquitous and it's everywhere, then it's just an algorithm.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast

22 / evaluation

I don't know how many customer support folks we have, but it's not very many, 30, 40, I'm not sure, way smaller than you would have at any comparable company, and it's because we've automated a lot of our flows.

“I don't know how many customer support folks we have, but it's not very many, 30, 40, I'm not sure, way smaller than you would have at any comparable company, and it's because we've automated a lot of our flows.”
Speaker
Kevin Weil
Publisher
Lenny's Podcast
Search evidence