Samir Chaudry

Right.

Or, you know, take two is like getting even though, you know, we've got a new GTA game, it's getting smoked.

And there was a narrative that like for a while that, you know, video games would be a big beneficiary of AI because intuitively we see all these like like, wow, like what if all NPCs were, you know, LLMs or whatever.

What if you had in-game generative content?

And the reality is, given the cost structures right now and the bottlenecks, you're like, okay, that's just not affordable.

You can't generate real-time generative characters and expect to break even on that because that would be like $6 per game session, and that's not a good investment.

And as AI gets cheaper, that story is actually going to change, right?

So I think that's like an interesting kind of like where we're going is I actually think we're going to get like a big acceleration in entertainment stuff because the cost of AI stuff is going to go down.

Yeah, these things are very bleak.

Yeah, I would say probably the biggest creators, most successful creators, largely have a 70% viewership base that's not subscribed to them. Really? Yeah, I would say that's pretty common amongst our friend group and amongst the people that we work with. And I think a lot of that has to do with the algorithm shift towards viewer satisfaction. And YouTube is a recommendations algorithm.

Yeah, I would say probably the biggest creators, most successful creators, largely have a 70% viewership base that's not subscribed to them. Really? Yeah, I would say that's pretty common amongst our friend group and amongst the people that we work with. And I think a lot of that has to do with the algorithm shift towards viewer satisfaction. And YouTube is a recommendations algorithm.

So first, when we first started making YouTube videos, if you could make a great thumbnail, people would click. That then inevitably got into clickbait, where you would click into a video, it was really short, it wasn't representative of what was in the thumbnail. So YouTube shifted their algorithm into what is called viewer satisfaction, which is essentially gauged off of...

So first, when we first started making YouTube videos, if you could make a great thumbnail, people would click. That then inevitably got into clickbait, where you would click into a video, it was really short, it wasn't representative of what was in the thumbnail. So YouTube shifted their algorithm into what is called viewer satisfaction, which is essentially gauged off of...

Click-through rate, did they click on the video? And then average view duration, how long did they watch? What percentage of this video did they watch? Then there's other engagement metrics. Did they like the video? Did they comment on the video? There's a lot of different ways to understand satisfaction.

Click-through rate, did they click on the video? And then average view duration, how long did they watch? What percentage of this video did they watch? Then there's other engagement metrics. Did they like the video? Did they comment on the video? There's a lot of different ways to understand satisfaction.

But essentially, as creators, every YouTube creator, what they're trying to do is go, what video are you watching before you watch my video? Because I want you to click on my video after you're done with that video or maybe in the middle of that video. So most traffic on YouTube comes from suggested. Does that make sense?

But essentially, as creators, every YouTube creator, what they're trying to do is go, what video are you watching before you watch my video? Because I want you to click on my video after you're done with that video or maybe in the middle of that video. So most traffic on YouTube comes from suggested. Does that make sense?

Yeah, I wouldn't say that timely because I think YouTube operates as a catalog. Some of our videos that are still picking up viewership today were made four years ago. So the best way to do it is to build a catalog that accrues viewership over time. So you're mainly looking at subject matters with high total addressable markets on YouTube. specific on YouTube.

Yeah, I wouldn't say that timely because I think YouTube operates as a catalog. Some of our videos that are still picking up viewership today were made four years ago. So the best way to do it is to build a catalog that accrues viewership over time. So you're mainly looking at subject matters with high total addressable markets on YouTube. specific on YouTube.

So that is why when the world of Mr. Beast really exploded on YouTube, you have a lot of people talking about Mr. Beast or reacting to Mr. Beast or going, there's 200 million people to tap into here who are probably watching a Mr. Beast video.