Jul 28, 2026 · 1 hr 27 min · 19 segments
Join Nathan Wrigley, Michelle Frechette, Marc Benzakein, Zach Stepek. The conversation focused on major WordPress developments, including the release of WordPress 7.0.2 and its AI-discovered…
Marc BenzakeinGuest
Zach StepekGuest
Michelle FrechetteHost
To be honest, I am just reading about this, and I find it really interesting.

So it's an open-weight model, which means you can actually install it on your own hardware, but it's not open source, which means you don't really know what's going on behind the scenes.

So the first article that I shared is kind of like what the leaked information was about it.

And it's, you know, of course, everything that comes out in AI these days is the such and such killer.

So is this the fable killer? Is this the whatever killer? Who knows? But But most of this stuff technically is above my pay grade, and I haven't quite figured it all out.

But one of the things that seemed to be pretty impressive is that it seems to do very well at what they call SWE, which is Software Engineering Benchmarks.

And it's designed to test whether or not AI is able to go in and determine bugs in complex pieces of software and squash them.

And apparently it is comparable to some of the others out there that we currently have in the US.


But I think ultimately it boils down to people are going to go with whatever is cheapest and they've gotten so used to AI as part of their workflow that I'm not sure people are going to care.

the rest of the world, I'm not sure, trusts the United States and their AI models.
In the UK, the discussion about AI, probably about a year ago, it was still really nerdy.
It was tech press stuff and now it's leeched into regular news cycles like normal newspapers talk about AI.
Because I think it's fair to say that if you're behind a computer, if you're a gardener or something, maybe AI is not part of the furniture, but if you're sat behind a computer, it's quite likely you've collided with it now.
And so anyway, the reason I'm saying is this kind of news now is just leaking into normal newspapers.

To be honest, I am just reading about this, and I find it really interesting.

So it's an open-weight model, which means you can actually install it on your own hardware, but it's not open source, which means you don't really know what's going on behind the scenes.

So the first article that I shared is kind of like what the leaked information was about it.

And it's, you know, of course, everything that comes out in AI these days is the such and such killer.

So is this the fable killer? Is this the whatever killer? Who knows? But But most of this stuff technically is above my pay grade, and I haven't quite figured it all out.

But one of the things that seemed to be pretty impressive is that it seems to do very well at what they call SWE, which is Software Engineering Benchmarks.

And it's designed to test whether or not AI is able to go in and determine bugs in complex pieces of software and squash them.

And apparently it is comparable to some of the others out there that we currently have in the US.


But I think ultimately it boils down to people are going to go with whatever is cheapest and they've gotten so used to AI as part of their workflow that I'm not sure people are going to care.

the rest of the world, I'm not sure, trusts the United States and their AI models.
In the UK, the discussion about AI, probably about a year ago, it was still really nerdy.
It was tech press stuff and now it's leeched into regular news cycles like normal newspapers talk about AI.
Because I think it's fair to say that if you're behind a computer, if you're a gardener or something, maybe AI is not part of the furniture, but if you're sat behind a computer, it's quite likely you've collided with it now.
And so anyway, the reason I'm saying is this kind of news now is just leaking into normal newspapers.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.