The Best Business Podcast with Daryl Urbanski
Sep 16, 2026 · 50 min · 12 segments
DOWNLOAD THE WORKBOOK NOW Here are three reasons why you should listen to the full episode: Your AI tools keep agreeing with you: Learn Samim Safaei’s assumption validation model, which scores every…
Samim SafaeiGuestYou know, it was interesting listening to you talk about the, the tech life cyc- life cycle curve.
I had a conversation recently with someone about things like the dot-com boom.
There was a lot of companies that were early on, but they weren't the ones that had the staying power, if that makes sense.
I mean, tell us, it sounds like it was a pretty large project that you were working on, so I feel like you've talked about people in labs seeing things years before everybody else sees.
Curious is where do you, um, this, I usually don't ask this kind of question this early, but what are you looking at in your crystal ball? Where do you see things going in that respect? 'Cause a lot of people are wondering, like-
... is it gonna replace my job? Is it more about the harness? Is it more about multiple...
Yeah, that's a, that's a, that's a, a steep, uh, learning cur- or a steep curve there on that, um, question.
I think that we are seeing, um, a lot of, um, I guess, disillusionment with the AI tools that we have now.
These huge companies are funded by tons and tons of investor money, offering he- heavily subsidized services which aren't even really reliable still.
You know, they're, they're constantly, um, kind of neutering models and, and making, um, the service they provide, uh, inconsistent.
And I think that a lot of the hype or a lot of the fear-mongering that's been happening is overblown.
You know, it was interesting listening to you talk about the, the tech life cyc- life cycle curve.
I had a conversation recently with someone about things like the dot-com boom.
There was a lot of companies that were early on, but they weren't the ones that had the staying power, if that makes sense.
I mean, tell us, it sounds like it was a pretty large project that you were working on, so I feel like you've talked about people in labs seeing things years before everybody else sees.
Curious is where do you, um, this, I usually don't ask this kind of question this early, but what are you looking at in your crystal ball? Where do you see things going in that respect? 'Cause a lot of people are wondering, like-
... is it gonna replace my job? Is it more about the harness? Is it more about multiple...
Yeah, that's a, that's a, that's a, a steep, uh, learning cur- or a steep curve there on that, um, question.
I think that we are seeing, um, a lot of, um, I guess, disillusionment with the AI tools that we have now.
These huge companies are funded by tons and tons of investor money, offering he- heavily subsidized services which aren't even really reliable still.
You know, they're, they're constantly, um, kind of neutering models and, and making, um, the service they provide, uh, inconsistent.
And I think that a lot of the hype or a lot of the fear-mongering that's been happening is overblown.
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