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The Foundr Podcast with Nathan Chan

513: Why Twitter Rejected His AI Tool | Alex Elias

The Foundr Podcast with Nathan Chan

Nathan Chan

Marketing, Business, Entrepreneurship

4.8 • 662 Ratings

🗓️ 24 May 2024

⏱️ 56 minutes

🧾️ Download transcript

Summary

When Alex Elias started Qloo, “artificial intelligence” was a dirty word. A decade later, Qloo is a pioneer in AI. Qloo is an AI decision-making platform that helps corporate clients predict audience tastes and preferences. Elias says that we’re still in “the Napster era of AI” and that the hype will eventually become a subtle integration into our lives. In this episode, Elias shares about being an early adopter of AI and how he’s endured the hype to build a trusted business that Twitter once rejected. In this interview, you’ll learn: Why AI brings more problems for entrepreneurs to solve The advantages and disadvantages of being an early adopter When Qloo landed and lost Twitter as a client How not to lose your identity in your business How to develop long-term stamina as a founder Why Elias biked commuted in NYC for years How to use AI for your business beyond generative tools Why AI will become more subtle in the future And much more AI and founder mindset advice… Click here to start your business for $1. You’ll get all-access foundr+, where you’ll find more in-depth, proven strategies from founders like our guest today and support and advice from our global community of 30,000 founders. If you loved this conversation and learned something new, rate and review this episode. Stay in touch with us, follow foundr on your favorite platform: Foundr.com Instagram YouTube Facebook X LinkedIn Magazine

Transcript

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0:00.0

Hear the stories. Learn the proven methods and accelerate your growth and future through entrepreneurship.

0:07.4

Welcome to the founder podcast with Nathan Chan.

0:13.4

All right. Well, welcome Alex. So the first question that I ask everyone that comes on is,

0:19.9

how did you get your job,

0:21.6

aka how did you find yourself doing the work you're doing today?

0:24.9

Yeah, absolutely. It's been a long journey, as I understand it has been for you all as well.

0:31.0

We started the company officially in 2011, but have begun thinking about it many years prior.

0:38.3

I was actually in law school at the time that we officially incorporated, you know,

0:44.3

incidentally focused on internet privacy and doing empirical studies on the efficacy of click-rap agreements and things like that.

0:51.3

But it was set across the backdrop of, you know,

0:55.2

companies like Netflix transitioning to streaming and all of a sudden, you know,

0:59.7

recommendations were this hot topic. And in fact, Netflix had a million dollar prize for

1:05.2

who could improve the efficacy of their algorithms, which at the time were all DVD ranking

1:10.5

data.

1:11.7

And we sort of took that challenge head on and realized that there was huge pitfalls to

1:18.5

sort of using data sets that were siloed in particular categories.

1:23.0

And so this is something that I pursued with kind of an academic interest at first.

1:29.3

I, as a hobbyist, I play the saxophone, the tenor sax, and I play some piano, and jazz is one of my big passions.

1:36.3

I also love mid-century Italian cinema.

1:40.3

And I began to see this sort of relationship between all these different areas of tastes that we wanted to explore more systematically.

1:47.6

And so all of that to say kind of embarked on this journey of could we do a better job sort of mapping, understanding tastes, and is there a business to build around this?

1:58.6

And our original premise was that there was, and it was

...

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