Alex Lieberman
speaker
113 appearances
1 recordings
1 series
first heard Nov 2025
last heard 19 Nov
Alex Lieberman’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.
Appearances
And when he did so, he had to rebuild, he had to basically re-architect the entire product and engineering process to be AI first, because he just no longer had a human resource.
And so he needed to like accelerate it with this technology.
And basically, what Armand had shared with me is that output of production-ready software.
Had text after making this shift with the org.
And I kind of didn't believe him at first because I had never seen kind of that level of leverage.
Like I'd use ChatGPT, I'd use Grok, I'd use all these things.
But and yes, they've been life-changing for me, but I wouldn't I wouldn't have explained them as 10X experiences.
So we basically talked through it and he kind of shared with me why AI and specifically LLMs have made
Such a profound impact on engineering as a type of knowledge work.
And from there, the the thought was around.
How the way in which engineers are compensated has to change materially.
Because if you think about it, like historically, people charge for their time by hour.
And then all of a sudden, let's just say you're a new, like you're truly an AI engineer who's truly 10x higher throughput.
Imagine you're selling your work and someone's used to pay spending $100 an hour for an engineer, and you go to them and you look them dead in the eyes and
And you're like, yeah, on a thousand bucks an hour, you're gonna get laughed out of the room, even though you're you're a better engineer than the engineer they would have hired.
And also you're perversely incentivized because you leveraging AI in your work.
As you operating faster, but your incentive, just like a lawyer or just like any hour uh pay-based knowledge worker, is to rack up as many hours as possible.
And so, like actually, the the kernel of insight that started all of 10X was how do we hire the best engineers in the world?
How do we offer them unlimited upside by compensating them for output rather than hours?
And then how do we harness that?
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