Jul 1, 2026 · 52 min · 17 segments
In this episode, Boris Berenberg dives deep into the biggest challenges companies face when adopting AI—from security and compliance concerns to poor implementation strategies and organizational…
Boris BerenbergGuestRob MayHost
Anna KirkHost
Ryan EpleyHostSo Steve Yagi, who's a very well-known programmer, wrote this piece called The Flat Curve Society.
for most of the rest of our lives, unless you've got a, you know, special clearance or something like that.
And I, a lot of mixed feelings about number one, whether this should be happening and then also whether this will happen.
My immediate reaction after reading this is like, I don't think if you look at like, technological breakthroughs that have been accessible to a wide array of builders like I'm still an open source optimist I don't think that like the technical capability or the modding model capability will be gated and I think it will be very difficult to do that um what I found more interesting about that article was kind of his like separation between like the demand horizon i.e. like you can't tell the models apart if your problems aren't hard enough And like the discernment horizon of deployment isn't actually bound by capability.
It's bound by verifiability, like your ability to actually like discern what performance looks like.
I think I agree more with the latter of like maybe there's something to this like verifiability point of like that actually being the ceiling.
I mean, you have to see this all the time with how your business model works, right? Like you don't need the bazooka for what a small knife can do every time.
I mean, I actually think probably frontier intelligence is probably overused by a couple, you know, an order of magnitude or something.
So the number of things you can do for a 10 billion parameter model, 50 billion or whatever, it's getting better every year.
And so even the stuff we have is going to get smarter for various reinforcement learning techniques they have and all these post-training things.
I think it's going to be hard when superintelligence gets here to regulate it in a way.
You can do it with the big companies, but there's so many tools out there to... train these models and there's so many people like it's just, it's going to be hard to be, I mean, you can get, you know, sort of jailbreak models out there that do things that the frontier models won't, aren't supposed to do, you know, create illegal propaganda and whatever.
So Steve Yagi, who's a very well-known programmer, wrote this piece called The Flat Curve Society.
for most of the rest of our lives, unless you've got a, you know, special clearance or something like that.
And I, a lot of mixed feelings about number one, whether this should be happening and then also whether this will happen.
My immediate reaction after reading this is like, I don't think if you look at like, technological breakthroughs that have been accessible to a wide array of builders like I'm still an open source optimist I don't think that like the technical capability or the modding model capability will be gated and I think it will be very difficult to do that um what I found more interesting about that article was kind of his like separation between like the demand horizon i.e. like you can't tell the models apart if your problems aren't hard enough And like the discernment horizon of deployment isn't actually bound by capability.
It's bound by verifiability, like your ability to actually like discern what performance looks like.
I think I agree more with the latter of like maybe there's something to this like verifiability point of like that actually being the ceiling.
I mean, you have to see this all the time with how your business model works, right? Like you don't need the bazooka for what a small knife can do every time.
I mean, I actually think probably frontier intelligence is probably overused by a couple, you know, an order of magnitude or something.
So the number of things you can do for a 10 billion parameter model, 50 billion or whatever, it's getting better every year.
And so even the stuff we have is going to get smarter for various reinforcement learning techniques they have and all these post-training things.
I think it's going to be hard when superintelligence gets here to regulate it in a way.
You can do it with the big companies, but there's so many tools out there to... train these models and there's so many people like it's just, it's going to be hard to be, I mean, you can get, you know, sort of jailbreak models out there that do things that the frontier models won't, aren't supposed to do, you know, create illegal propaganda and whatever.
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