Dianne Penn

speaker

606 appearances 1 recordings 1 series first heard Jul 2026 last heard 26 Jul

Dianne Penn’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Lenny's Podcast: Product | Career | Growth · Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future | Dianne Penn · 26 Jul 2026 podcast

personality, folks who are really passionate and deep about the zero to one.

I think that's a lot of maybe the more day-to-day.

I think one piece around researchers and research organizations like Anthropic is there's also a vision of the future more broadly.

So, for example, things like...

I think even at the founding of the company, researchers were talking about how do we get Claude to use a computer?

How do we get AI to like navigate a screen, right?

So there's a lot of actually very founder-like energy is how I describe it within researchers are really bold and ambitious researchers.

And we have a ton of those at Anthropic.

So there's one layer of

vision of what this technology can go.

And then I think on this other side of the loop, there's also now that this technology or cloud is in people's hands, how do we make it better today?

So it's a medium and long-term and a lot of energy thinking about that lens of the future.

And also, in the immediate and short term, what are the improvement areas we can make?

And so, like, I think you're describing a really good sense of how do we make iterative improvements on different versions of Cloud.

The way that, like, my team works with researchers is kind of being very integrated and embedded in those loops, particularly areas where there's a lot of impact on users.

So this is things like vision, computer use,

coding, agentic coding, tool use, test time compute, things where there's a direct user impact, and then figuring out what are the ways to

bring the user feedback and ground it in a level that is understandable for researchers and also actionable for researchers.

And I think that's the second piece is actually a big part of the job and sometimes a hard part of the job.

So, for example, we might get feedback on cloud.ai, cloud hallucinated.

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