Ankur Goyal

speaker
292 appearances 1 recordings 1 series first heard Jun 2026 last heard 15 Jun

Ankur Goyal’s voice in public audio — every appearance, attributed to the second.

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

Appearances

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And I think if you're working on hard problems, it's very important.
You need it.
I'm sure you feel this too, but when I was handwriting most of my code,
I would enter this euphoric flow state where I just completely focused on a problem.
And then when I started doing a lot of agent coding, I lost that for a little bit.
But now when I'm writing code, Lane 8 just released a new album yesterday.
You should listen to it.
Put it on your hood and your headphones.
I'm totally back in that state now, just doing a different workflow.
Yeah, I had a phase, which I think I'm over.
You know my wife, Alana, where we have dinner together usually pretty much every night.
And so I had a phase where my laptop was not at the table, but open and on the couch.
And I think I've progressed beyond that phase now.
So now the laptop is closed.
And I think it's an important thing.
machine learning specifically, shifts the task of programming from being about the how to being about the what.
And this is true, like forget about LLMs, like, you know, it's true with, let's say like you're back in like middle school, you're doing like, remember statistical regression?
You're not defining the, you're computing what the slope and the y-intercept should be.
You're not defining it, but you give it all the points, which are the, you know, the what, not the how, which is the slope and the y-intercept.
And I think that, you know, the cool innovation around, like, transformers and the next token prediction task, which lets you, you know, ablate tokens and do all this cool stuff, it's all about saying, like, okay, here's, like, the compute substrate, and here's the what, which is the outcome.
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