20 korrents from this recording
Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.
0:03:47 · watch on youtube.com↗
Their wordsI think anytime a new technology comes along, especially one that's as transformative as GenAI, you go through a storming phase before you go through the forming phase of things. And I think we are in the middle of that right now.
0:04:32 · watch on youtube.com↗
Our reading
That AI lets anyone prototype does not mean everyone should be shipping code to production.
Their wordsDo I believe that means anyone should be shipping code to production? That everyone should actually be doing everything? Probably not. But I think that it's good for people to be exploring what's possible.
0:12:26 · watch on youtube.com↗
Their wordsI still see a craft excellence that's really important in the disciplines that I don't think is going away anytime soon. Even if there's fluidity or blurring of the work across the functional lines.
0:14:29 · watch on youtube.com↗
Their wordsIn a world of AI with agents operating across multiple systems, wanting source of truth data, the importance of having preferred paved paths that get the most of the benefits and produce some guardrails so we can make sure we're doing good work, common infrastructure, common paved paths, solving problems once with a core set of capabilities becomes more important.
0:14:53 · watch on youtube.com↗
Their wordsSo, we are hiring more people who can look across all the business domains and abstract that to here's the building blocks we're going to need in a world with AI.
0:15:59 · watch on youtube.com↗
Their wordsI get really nervous about having different design languages or different types of user interactions and shipping Frankensteins, basically. So, designers need to then be the people we're hiring again for design systems thinking.
0:21:31 · watch on youtube.com↗
Our reading
Deep design expertise does not get squeezed out just because code and analysis got faster.
Their wordsBut I think it would be a mistake to say design and deep design expertise and thinking gets squeezed out just because we can write code faster. We can do data analysis faster.
0:23:01 · watch on youtube.com↗
Their wordsBut as a general rule, uh compared to 5 or 10 years ago, I I would believe we have fewer specialists and more people who are generalists or adaptable in multiple directions.
0:29:55 · watch on youtube.com↗
Their wordsSo, the most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency, which doesn't mean use it as a tech for the sake of tech. It's tech where it's useful, to have good judgment about that, and to have the mindset to be open-minded to explore and try new things.
0:30:43 · watch on youtube.com↗
Their wordsAnd even for things like coding interviews, allowing candidates, of course, to use AI tools because that's going to be part of what the work requires now.
0:39:42 · watch on youtube.com↗
Their wordsIt was instead a very strongly held opinion that that you get to excellence by giving people a lot of agency and accountability. By pushing decisions as deep in the organization as possible, hiring great people who can be trusted to have good judgment and make good decisions.
0:41:51 · watch on youtube.com↗
Their wordsWell, the talent density is the non-negotiable. Like you have to start with that. If you don't have that, you can't get to a place where you have confidence in decision-making at all levels of the organization, allowing people to take risks and innovate quickly.
0:44:45 · watch on youtube.com↗
Their wordsOr the perfect way to go through feedback and leveling and compensation. But every time we saw that and we added more process, we spent more time without getting better outcomes.
0:51:20 · watch on youtube.com↗
Their wordsIt does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
0:54:01 · watch on youtube.com↗
Their wordsSo, even in a world of AI where some things are easier, we were talking earlier about mindset, AI fluency. From my experience, younger folks are more open-minded. They tend to be more native in some of these new ways of working.
0:56:42 · watch on youtube.com↗
Their wordsI think there's a difference between being able to write lines of code in a particular language like Python or C++ and understanding how code, computer systems, products work. And I don't think the latter is going away.
0:58:02 · watch on youtube.com↗
Their wordsSo looking at some of the code that some of these models or agents are writing they're very hard to follow. It's like I know I'm getting better performance from this but I have no idea why and if this thing breaks I'm going to have no idea how to fix it.
0:59:05 · watch on youtube.com↗
Their wordsIt feels like it's a it's an acceleration of how much engineering has changed. But if you looked over the last 10 years or 20 years you would say the same thing.
1:03:41 · watch on youtube.com↗
Their wordsWhich means we need to have a flexibility in the tools that we provide and the types of partnerships we have, and to really have a creator enablement view rather than a prescriptive that we only do this one way.
1:04:09 · watch on youtube.com↗
Their wordsI have a hard time picturing entertainment that doesn't have humans at the heart of it. So that that's humans in the creation of the storytelling, which I think is a scarce and valuable skill.