Chapter 1: What is the main topic discussed in this episode?
Fiscally responsible, financial geniuses, monetary magicians.
Chapter 2: What are the challenges AI-powered apps face with user retention?
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Chapter 3: How does ChatGPT's new interactive visual feature enhance learning?
Really? AutoTrader.
Chapter 4: What is the significance of the Thinking Machine Labs and Nvidia deal?
Buy your car online. Really?
Chapter 5: How are industry trends impacting AI app development?
Welcome to the podcast. I'm your host, Jaden Schaefer. Guys, today is my 30th birthday, but I had to record a podcast because there was some crazy stuff happening. Number one, there's a bunch of research and data coming that is showing AI-powered apps are really struggling with long-term retention.
Also, ChatGPT can now create interactive visuals that are going to help you understand math and science, which Google was kind of doing something similar. It's going to be really cool to see ChatGPT do this. And third, Thinking Machine Labs has just created a massive compute deal with Nvidia, which is pretty exciting for a company that has such a legendary background.
and has raised so much money. So we're gonna get all of these stories today. But before we do, I have to say a huge shout out.
Chapter 6: What factors contribute to the churn rate of AI apps?
In the last couple of days, I've asked people for my birthday. If you could leave a rating and review, if you haven't already, I wanna read the most recent review that someone dropped. This is from Eating Crab yesterday. He said,
Chapter 7: How does ChatGPT's interactive feature work for math and science?
Just wanted to say thank you for the podcast. I don't have very much time in my day being a full-time student and working full-time, but I have a huge passion for AI. Being able to keep up with your podcast helps me keep in the loop. I appreciate it. Keep it up and happy birthday. A huge shout out to Eden Crabb. Thank you so much for the review. Guys, today is my birthday.
Chapter 8: What are the implications of the Nvidia partnership for AI infrastructure?
I'm turning 30 before I go through a midlife crisis. If you guys could do me a massive favor for today and please leave a rating review if you haven't already, it would be the greatest birthday present of all time. I will be eternally grateful over on Apple or Spotify or wherever you get your podcast. I know it's usually annoying, but today's my birthday.
So if you've ever appreciated that podcast in the past or today, it would be greatly appreciated to drop a review. All right, let's get into the episode today. So the thing that I think is really interesting is kind of this idea right now that all of the AI-powered apps are really struggling to keep long-term, you know, people engaged, long-term retention on the apps.
And I think there's a couple problems with this as someone that has built AI-powered apps in the past and as someone that is, you know, actively working in an AI startup, an AI box and a company. I can understand where a lot of this challenge is.
And that is, I think, with AI coming out and the power of AI being so incredible, I think we definitely had a really big wave, especially in the last couple of years where there was a lot of concepts of what AI could do and would be able to do. And a lot of people, I think, overhyped or oversold their apps. And I think that's going to be the primary driver of low retention.
In addition, I do think that like right now I try probably 10 times as much software as I have over the last, you know, five, 10 years working in the industry. And so I think right now we just try so much more and then we kind of settle on what works best.
I think if you're a developer and you're creating a tool with AI in it, you have one shot really for someone to go try your tool and for it to wow them and for them to be impressed and be like, OK, I will. Keep this as part of my long-term tool belt of the tools I use. If they try it and it flops, there's a bunch of tools from big companies that I've tried in the past.
They flopped and I haven't gone back. I think one of those examples would be something like Runway for Video. This is a platform that I tried a lot in the early days. It wasn't that great. And I mean, you have to give them a huge kudo for being first, but I never really got back to that platform. And then Suno came out and a lot of these other video generations.
You have Higgs Field, which has a whole bunch of models on there. And I tend to just use more of those types of tools today than going back to some of the OG video tools. I think this is kind of a trend you'll see with a lot of I know it's kind of like a random story from my experience, but I think you're going to see that a lot.
So there was a recent report that came out of Revenue Cat, and they showed that the subscription infrastructure for more than 75,000 different developers. And they kind of analyze it because they power all of that subscriptions. And by the way, these are kind of my favorite reports. Mercury, you know, a SaaS kind of bank, SaaS focused bank is an awesome one.
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