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

And we were looking for ways for also, why should somebody choose Claude?

And that was like a core question.

And that was a core question we were getting asked in the early days.

And I think with Opus 3, it launched, I think early March, 2024, but there was many, many months of various teams across inference, across research, fine tuning, pre-training that rallied at different points and towards a common goal.

And I think everybody that was involved was like really proud.

I remember being the PM, us, the research leads, myself, we were all in our, this was around December.

So we were all at home in our various parents' homes and seeing everybody's background of like their childhood room.

And everybody was working really hard

to figure out what are we training the model for?

Is it showing up the right way?

So I think that was really powerful in terms of just building a lot of trust.

And a lot of our research leads have actually, from that time, are now leading reinforcement learning, leading our character work, alignment work.

So that foundational trust, I think, also helped us work well

now with any of our production models across product and research, because we were working just so much in the trenches together in the early days.

And then I think there were things like identifying that coding was important, right?

In 2023, when I started, nobody said anthropic and clod and coding in the same sentence.

I think competitor models like GPT-4 at the time was used a bit for coding, but it was one of many use cases.

And one thing that, for example, I saw was

People are starting to use code, these models, not just for code, not just like code autocomplete, but actually writing long form code.

And it's not an opportunity for us to train, you know, Opus 3 to be better at.

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