Evidence receipt / evaluation
Published · transcript-backedElizabeth Stone: evaluation
19 Jul 2026 Lenny's Podcast Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)
“" But that impact is extremely promising and we're seeing lots of productions leverage different tools, some of them built in-house, some of them that we enable through other vendors for those content creation use cases. And then as we think about how content comes to the product, I mentioned localization, subtitles and dubs, but also how we create high quality trailers, images, artwork at scale that then we can use to help make sure that titles find their audiences around the world.”
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Everything needed to verify it.
- Speaker
- Elizabeth Stone
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 19 Jul 2026
- Publisher
- Lenny's Podcast
Transcript context
…I'm just going to keep following this thread. Obviously, AI is transformative for coding. It's a big unlock for prototyping. Are there other use cases of AI at Netflix that have been really impactful, that people may not think about or not realize? So, there's two that come to mind. So, the first is data analysis, distillation of information, modeling, which is using the tools to get our arms around all the insights we have, similar to what I mentioned before. What experiments have we run? What are the metrics that I should be looking at for a certain problem? What's the consumer research that we've done? And that is much higher velocity and much higher quality, contingent on you check that the results are valid, you work with your local data scientist on, am I using the source of truth data on this? But that's been a great one. And that's one personally that I would say I most use some of these tools for. So, that goes beyond prototyping and coding to general analytical thinking, and translating data to action and insight. The other one is on the content production creation part of the business, which has lots of applications. This was true before GenAI. So, ML and AI were deeply used in a lot of the production tools. We've used them to think about how to create promotional assets at scale, how to localize in subtitles and dubs. So, GenAI is a big step function in where the impact can be. In creative ideation, we call those things pre-visualization or basically bringing a creator's vision to life before you even get into the... You bring people to a set and start to actually go through the production itself. There's lots of use cases in post-production. So, we recently acquired a company, InterPositive, that was started by Ben Affleck, that built a set of models and capabilities. That allow you after you've shot something to relight, reframe, reshoot, change dialogue in ways that are very impactful to get higher quality content. Are still led by the filmmaker, creator saying, "You know what? I would like to try something else to bring this vision to life. " But that impact is extremely promising and we're seeing lots of productions leverage different tools, some of them built in-house, some of them that we enable through other vendors for those content creation use cases. And then as we think about how content comes to the product, I mentioned localization, subtitles and dubs, but also how we create high quality trailers, images, artwork at scale that then we can use to help make sure that titles find their audiences around the world. Those all are huge levers when we think about the AI impact. So, that again, goes well beyond prototyping or coding to some of the creative use cases. And you can imagine that, just like they work for studio productions for film and TV, they work for advertising, they work for marketing, off-service campaigns. And so, those are all areas that we're exploring. This episode is brought to you by Mercury, radically different banking loved by over 300,000 entrepreneurs and now with Command. I've been a customer of Mercury's for over six years. I have never once thought about leaving. Mercury is basically what happens when banking is built by product people, not by bankers. They make it so easy, dare I say fun to send invoices, move money around, set up virtual cards for folks on my team. Does your bank have an API, a terminal native CLI or an AI-ready MCP server? I don't think so. And just recently, they launched Command, a conversational interface built directly into Mercury, which acts as your financial operator. I've been using Command to transfer money around, to figure out what categories I've been spending the most money in, analyze my cash flows. And just today, I used it to find out how much I've made from a specific sponsor over the past year. I just ask, how much have I made from X over the past year? 10 seconds later I have an answer. It is so freaking cool. Visit mercury.com to learn more and apply online in minutes. Mercury is a FinTech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column NA Members FDIC. You mentioned how Netflix has been very early to AI and ML for a long time. Younger people may not remember this, but y'all had this contest to optimize the-…
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