You Are Not Thinking Big Enough About AI
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What is the main problem founders face with AI?
The biggest problem that I'm seeing right now is that people are just not thinking big enough.
AI is going to be a net positive long-term for us. How do we think bigger?
It would take eight hours of reading per day for about 36 years to read what happened in one month. Why can't we just build the next Google? The work itself can be performed by these AI agents, but the ideas, the tastes, the reasons behind what we're doing, that is still what we have to communicate.
I don't know that there's a better tool out there for extracting information out of your own mind than being interviewed by AI.
How can we think bigger about AI opportunities?
With AI you can outsource your work, but you can't outsource your understanding.
So you're not just someone who is using AI to build. You have this very unique business that you built in LashLoop where you're actually helping other people build with AI as well. And if we're going to have a conversation about AI, which everybody seems to be doing, I think it's important that we kind of level set on, like, where are we right now? Before we start talking about where we can go in the future and what a founder should be doing, shouldn't, how they should be looking at it, how things, where you see things going down the road, like, what is the baseline reality of what a founder should expect in implementing AI into their business. And let's assume, let's take two cases here as you answer this question.
One is, say, the AI native founder who maybe has an idea and is coming to a platform like Lashloop to actually build their idea from scratch. And then let's contrast that against what someone who maybe has a more established business and is now trying to bring AI in. What are the realities for them on the street in terms of what they can expect to get out of these tools? Because it seems like there is so much... I'm going to use the word propaganda, but not necessarily in a nefarious sense. It just seems like everyone kind of sits on whatever their bias is and then just projects down the mountain. And I'd love to, as much as we can, just have an honest level set and then we can push into our biases as we go.
But, you know, where are you seeing the world today and what is actually possible with AI?
Yeah, great questions, and it's great that you separated the AI-native business versus the existing business, too, because I think there's differences. So real quick back story is we started in like 2022 working with these ideas that were not yet possible, and then GPT-4 comes out, and suddenly these ideas were possible. I feel lucky in a way that we already knew some of the things we wanted to build and AI made those things possible for us. But yeah, I've been working on these early AI agent products and things and experimenting and trying these ideas. We released the first autonomous AI coach with Heights AI Coach and my software Heights platform back in 2023. But AI has changed so much since then.
And so where we're at now is kind of like the future is here, but it's just not evenly distributed. And what I mean by that is we have reached a point with the models that have come out between the very end of last year and right now that they are just so much more capable than they were a year or so ago. And the issue is that there are some people who are massively taking advantage of that and are getting so much value from these models. And there's others who feel like, oh, this is the same chat GPT or whatever that I was using about a year ago. And they kind of don't realize the differences or what's available to them. And so... I would say for the AI native business, I think those kind of founders and creators are kind of figuring this thing out already.
Whereas the existing businesses, I think they have some things to do about how they... I don't think this is about how do I fire half of my team or something like that. I think it's more about how do I change the way that my team thinks of how they work with AI. Because everybody is now able to become kind of more of an operator of controlling these AI agents and directing them in a certain way.
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Chapters
8 chapters
1
What is the main problem founders face with AI?
0:00–0:31
2
How can we think bigger about AI opportunities?
0:31–4:49
3
What is the significance of the AI loop concept?
4:49–8:06
4
How does 'service as a software' change business models?
8:06–14:14
5
What lessons can be learned from failed AI projects?
14:14–19:02
6
Why is understanding still crucial despite AI advancements?
19:02–24:57
7
How can AI improve customer retention strategies?
24:57–28:50
8
What does the future of AI in business look like?
28:50–1:05:35
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