Boris Cherny

speaker
396 appearances 1 recordings 1 series first heard Jul 2026 last heard 28 Jul

Boris Cherny’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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When we talk about the scaling laws and we talk about the model getting more intelligent over time,
Historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training.
And then recently, we also added test time compute.
So this is essentially a fancy researcher way of saying, how many tokens does it generate?
And now, dynamic workflows are essentially a new way to orchestrate test time compute.
And it's a new way to kind of really, really ramp up the amount of test time compute that you use to do a really hard task.
So this all, very long way to say, this is one way to launch thousands of agents in a way that is productive and efficient.
A second way to do it is loops and routines.
Loop is essentially a cron job that's running locally for quad.
Routine is the same thing, but it's running in the cloud.
so you can close your laptop.
And this is like slightly different because for a dynamic workflow, it's one task and you break it up into chunks.
For loops and routines, it's one task that is repetitive that doesn't share context, but it might share memory.
And you kind of do this like over and over.
You can do it like maybe every hour, every five minutes, every day.
And so the thing that we've started doing is we actually have quad maintaining itself now.
And the way we do this is we have a Slack channel where we just had Claude start a bunch of different routines to maintain its own code base.
And we actually do this for the CLI, for the iOS app, for the Android app, for the desktop app.
And for example, one routine is clean up dead code.
This is a single prompt.
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