Justine Moore

speaker

1,753 appearances 12 recordings 1 series first heard Jun 2025 last heard 29 Jul

Justine Moore’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 5 in all, peaking in Jul 2026 with 1.

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The a16z Show · AI Micro Dramas, Generative Media, and the Future of Creativity · 29 Jul 2026 podcast

And I find that to be super valuable and I think will actually really improve how a lot of people communicate because that's a really hard skill to be able to do on your own.

It's hard because you get on something that works well for you and then something else comes out the next week that you want to try that looks even better.

And then your original product upgrades.

And so, I don't know, it's difficult.

I think we, I try to, I think I'm lucky that like, you know, since I'm investing in a lot of early stage stuff

It's helpful for me to use both all of the early stage products, but then also know sort of what the incumbents, which at this point are like the OpenAI and the Anthropix and the Googles are doing and releasing so I can know how the product experiences actually compare.

Yeah.

Generative media, I think, is a great space and it's also a really competitive space.

So I think to me, the hardest thing right now has been figuring out who you want to serve and how you're going to be differentiated, largely because it's gotten pretty expensive to train foundation models that compete with folks like OpenAI and

And Google, not as much Anthropic because they do sort of less on the media side.

But there's now, you know, a number of startups that have raised a bunch of money across different modalities, as well as the big tech companies that are training models here.

And so from a research perspective, it's harder than it used to be to, you know, train a new image or video or audio model from scratch and like be a competitor in the market, which is not to say folks shouldn't do it, but...

I would say the bar has raised in terms of what folks expect in terms of differentiation, what your model can do that others can't, that sort of thing.

I think a lot of folks are now trying to compete at the app or workflow layer.

And at first, the applications for these models were incredibly simple.

It was like, you know, a text box, prompt input, and then you would get the output.

And now there's a bunch of great services that host a ton of different models and they all offer text input to output.

And so most people don't want to be competing on just offering the lowest price for every model or offering the fastest inference or things like that.

And so they're really trying to think about

how can I serve a certain user base better than anyone else can?

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