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.

Appearances

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And there's no substitute for that.
It's very hard to come up with a perfect strategy without touching the technology when it's moving this quickly.
At the same time, I think there's other things that we could be doing.
So one thing that we do a lot is actually working in public and internally within Anthropic.
And so in the early days when we had less product surfaces,
There was a Slack channel where everyone, almost the entire company, was testing early versions of Claude and trying different use cases.
People were not calling them use cases, but you might be asking it to edit an essay or to come up with the right way to send this email.
They were all different use cases.
We all worked in public and then what you would see magically is different users or different folks on the team coming up with an idea and then other people trying different variations of that idea.
And then within maybe 10 or so requests, there was something magical or potentially in a use case that emerges.
And I think there's a lot in not just individuals figuring out by themselves how to use this technology.
I think we could be doing more to actually bring like that communal discovery when we do experimentation.
Like experimentation is not always necessarily an individual sport.
I think at a broad theme, we know, right?
We know that the models write great essays or can write long form writing, but individual pain points of what can you actually solve with that and bring it to like a user level that people can use, I think is something that is more exploration or experimentation based.
The thesis of labs in many ways is identifying and pulling the thread on the thread of discontinuous large bets that might not be in the core roadmap.
And figuring out, is there a there there?
And also, what is the 10x, 100x, 1000x of the there there?
And so, for example, things like clog code, I think.
Things like cloud code, things like skills, and most recently, cloud design, MCP.
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