Dylan Field

speaker

577 appearances 1 recordings 1 series first heard Oct 2025 last heard 2 Oct

Dylan Field’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 Oct 2025 with 1.

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Latent Space: The AI Engineer Podcast · Taste is your Moat (Dylan Field of Figma) · 2 Oct 2025 podcast

Yeah, and it's it's interesting.

It's like if you look at data analysis.

maybe break it up into a few things that have to go right.

You need to have first of all trust that the right queries are being written in the correct way.

And that's a lot of trust because if you get that wrong, you know, you have a bad, bad, shaky foundation for the rest of your experience.

And there's okay, what's the next query?

I'd probably be more bullish about AI predicting your next query or a follow-up than I am about like, you know, 100% rate on the query.

Yeah.

And I think if you were to show people some prompts around here, example next queries you might want to run that might spark other ideas they have for follow-up questions that further their analysis.

But then there's also like how do you display the data and the visualization itself.

Yeah, there's canonical visualizations we're all used to.

But I think visualization is uh fascinating.

And we've only scraped the surface in terms of how we can visualize data.

I think that um, especially as you get to larger data sets, more complexity, and you're really trying to communicate data to people, that is one of the most interesting design problems out there.

Like, how do you communicate how much money in the budget of the federal government is spending?

People have tried so many times.

I've never seen something that is clear and actually gives you any sense of scale that you can relate to.

You know, and uh how do you communicate the data inherent in biology to a layman person who hasn't studied biology?

Like again, people have tried.

It's a very hard problem.

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